1. Machine Learning – Part I

Reproduced from GitHub https://github.com/

A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.

Further resources:

For a list of free machine learning books available for download, go here.
For a list of professional machine learning events, go here.
For a list of (mostly) free machine learning courses available online, go here.
For a list of blogs and newsletters on data science and machine learning, go here.
For a list of free-to-attend meetups and local events, go here.

Frameworks and Libraries

Awesome Machine Learning

Credits

## APL

#### General-Purpose Machine Learning * naive-apl - Naive Bayesian Classifier implementation in APL. [Deprecated]

## C

#### General-Purpose Machine Learning * Darknet - Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. * Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF). * Hybrid Recommender System - A hybrid recommender system based upon scikit-learn algorithms. [Deprecated] * neonrvm - neonrvm is an open source machine learning library based on RVM technique. It’s written in C programming language and comes with Python programming language bindings. * cONNXr - An ONNX runtime written in pure C (99) with zero dependencies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. Easy to install and compiles everywhere, even in very old devices. * libonnx - A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

#### Computer Vision

CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
VLFeat - VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox.

## C++

#### Computer Vision

DLib - DLib has C++ and Python interfaces for face detection and training general object detectors.
EBLearn - Eblearn is an object-oriented C++ library that implements various machine learning models [Deprecated]
OpenCV - OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
VIGRA - VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.
Openpose - A real-time multi-person keypoint detection library for body, face, hands, and foot estimation

#### General-Purpose Machine Learning

Speedster -Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware. DEEP LEARNING
BanditLib - A simple Multi-armed Bandit library. [Deprecated]
Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind. DEEP LEARNING
CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.
CNTK - The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.
CUDA - This is a fast C++/CUDA implementation of convolutional DEEP LEARNING
DeepDetect - A machine learning API and server written in C++11. It makes state of the art machine learning easy to work with and integrate into existing applications.
Distributed Machine learning Tool Kit (DMTK) - A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding.
DLib - A suite of ML tools designed to be easy to imbed in other applications.
DSSTNE - A software library created by Amazon for training and deploying deep neural networks using GPUs which emphasizes speed and scale over experimental flexibility.
DyNet - A dynamic neural network library working well with networks that have dynamic structures that change for every training instance. Written in C++ with bindings in Python.
Fido - A highly-modular C++ machine learning library for embedded electronics and robotics.
igraph - General purpose graph library.
Intel® oneAPI Data Analytics Library - A high performance software library developed by Intel and optimized for Intel’s architectures. Library provides algorithmic building blocks for all stages of data analytics and allows to process data in batch, online and distributed modes.
LightGBM - Microsoft’s fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
libfm - A generic approach that allows to mimic most factorization models by feature engineering.
MLDB - The Machine Learning Database is a database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs.
mlpack - A scalable C++ machine learning library.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
N2D2 - CEA-List’s CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms
oneDNN - An open-source cross-platform performance library for deep learning applications.
ParaMonte - A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.
proNet-core - A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
PyCaret - An open-source, low-code machine learning library in Python that automates machine learning workflows.
PyCUDA - Python interface to CUDA
ROOT - A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage.
shark - A fast, modular, feature-rich open-source C++ machine learning library.
Shogun - The Shogun Machine Learning Toolbox.
sofia-ml - Suite of fast incremental algorithms.
Stan - A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling.
Timbl - A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP.
Vowpal Wabbit (VW) - A fast out-of-core learning system.
Warp-CTC - A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.
XGBoost - A parallelized optimized general purpose gradient boosting library.
ThunderGBM - A fast library for GBDTs and Random Forests on GPUs.
ThunderSVM - A fast SVM library on GPUs and CPUs.
LKYDeepNN - A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
xLearn - A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online advertising and recommender systems.
Featuretools - A library for automated feature engineering. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering “primitives”.
skynet - A library for learning neural networks, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#.
Feast - A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.
Hopsworks - A data-intensive platform for AI with the industry’s first open-source feature store. The Hopsworks Feature Store provides both a feature warehouse for training and batch based on Apache Hive and a feature serving database, based on MySQL Cluster, for online applications.
Polyaxon - A platform for reproducible and scalable machine learning and deep learning.
QuestDB - A relational column-oriented database designed for real-time analytics on time series and event data.
Phoenix - Uncover insights, surface problems, monitor and fine tune your generative LLM, CV and tabular models.
XAD - Comprehensive backpropagation tool for C++.
Truss - An open source framework for packaging and serving ML models.

#### Natural Language Processing

BLLIP Parser - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser).
colibri-core - C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
CRF++ - Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks. [Deprecated]
CRFsuite - CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. [Deprecated]
frog - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
libfolia - C++ library for the FoLiA format
MeTA - MeTA : ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
MIT Information Extraction Toolkit - C, C++, and Python tools for named entity recognition and relation extraction
ucto - Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.

#### Speech Recognition * Kaldi - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.

#### Sequence Analysis * ToPS - This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet. [Deprecated]

#### Gesture Detection * grt - The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.

## Common Lisp

#### General-Purpose Machine Learning

mgl - Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
mgl-gpr - Evolutionary algorithms. [Deprecated]
cl-libsvm - Wrapper for the libsvm support vector machine library. [Deprecated]
cl-online-learning - Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
cl-random-forest - Implementation of Random Forest in Common Lisp.

## Clojure

#### Natural Language Processing

Clojure-openNLP - Natural Language Processing in Clojure (opennlp).
Infections-clj - Rails-like inflection library for Clojure and ClojureScript.

#### General-Purpose Machine Learning

scicloj.ml - A idiomatic Clojure machine learning library based on tech.ml.dataset with a unique approach for immutable data processing pipelines.
clj-ml - A machine learning library for Clojure built on top of Weka and friends.
clj-boost - Wrapper for XGBoost
Touchstone - Clojure A/B testing library.
Clojush - The Push programming language and the PushGP genetic programming system implemented in Clojure.
lambda-ml - Simple, concise implementations of machine learning techniques and utilities in Clojure.
Infer - Inference and machine learning in Clojure. [Deprecated]
Encog - Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets). [Deprecated]
Fungp - A genetic programming library for Clojure. [Deprecated]
Statistiker - Basic Machine Learning algorithms in Clojure. [Deprecated]
clortex - General Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]
comportex - Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]

#### Deep Learning * MXNet - Bindings to Apache MXNet - part of the MXNet project * Deep Diamond - A fast Clojure Tensor & Deep Learning library * jutsu.ai - Clojure wrapper for deeplearning4j with some added syntactic sugar. * cortex - Neural networks, regression and feature learning in Clojure. * Flare - Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.) * dl4clj - Clojure wrapper for Deeplearning4j.

#### Data Analysis * tech.ml.dataset - Clojure dataframe library and pipeline for data processing and machine learning * Tablecloth - A dataframe grammar wrapping tech.ml.dataset, inspired by several R libraries * Panthera - Clojure API wrapping Python’s Pandas library * Incanter - Incanter is a Clojure-based, R-like platform for statistical computing and graphics. * PigPen - Map-Reduce for Clojure. * Geni - a Clojure dataframe library that runs on Apache Spark

#### Data Visualization * Hanami : Clojure(Script) library and framework for creating interactive visualization applications based in Vega-Lite (VGL) and/or Vega (VG) specifications. Automatic framing and layouts along with a powerful templating system for abstracting visualization specs * Saite - Clojure(Script) client/server application for dynamic interactive explorations and the creation of live shareable documents capturing them using Vega/Vega-Lite, CodeMirror, markdown, and LaTeX * Oz - Data visualisation using Vega/Vega-Lite and Hiccup, and a live-reload platform for literate-programming * Envision - Clojure Data Visualisation library, based on Statistiker and D3. * Pink Gorilla Notebook - A Clojure/Clojurescript notebook application/-library based on Gorilla-REPL * clojupyter - A Jupyter kernel for Clojure - run Clojure code in Jupyter Lab, Notebook and Console. * notespace - Notebook experience in your Clojure namespace * Delight - A listener that streams your spark events logs to delight, a free and improved spark UI

#### Interop

Java Interop - Clojure has Native Java Interop from which Java’s ML ecosystem can be accessed
JavaScript Interop - ClojureScript has Native JavaScript Interop from which JavaScript’s ML ecosystem can be accessed
Libpython-clj - Interop with Python
ClojisR - Interop with R and Renjin (R on the JVM)

#### Misc * Neanderthal - Fast Clojure Matrix Library (native CPU, GPU, OpenCL, CUDA) * kixistats - A library of statistical distribution sampling and transducing functions * fastmath - A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries * matlib - A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.

#### Extra * Scicloj - Curated list of ML related resources for Clojure.

## Crystal

#### General-Purpose Machine Learning

machine - Simple machine learning algorithm.
crystal-fann - FANN (Fast Artificial Neural Network) binding.

## Elixir

#### General-Purpose Machine Learning

Simple Bayes - A Simple Bayes / Naive Bayes implementation in Elixir.
emel - A simple and functional machine learning library written in Elixir.
Tensorflex - Tensorflow bindings for the Elixir programming language.

#### Natural Language Processing

Stemmer - An English (Porter2) stemming implementation in Elixir.

## Erlang

#### General-Purpose Machine Learning

Disco - Map Reduce in Erlang. [Deprecated]

## Fortran

#### General-Purpose Machine Learning

neural-fortran - A parallel neural net microframework. Read the paper here.

#### Data Analysis / Data Visualization

ParaMonte - A general-purpose Fortran library for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.

## Go

#### Natural Language Processing

Cybertron - Cybertron: the home planet of the Transformers in Go.
snowball - Snowball Stemmer for Go.
word-embedding - Word Embeddings: the full implementation of word2vec, GloVe in Go.
sentences - Golang implementation of Punkt sentence tokenizer.
go-ngram - In-memory n-gram index with compression. [Deprecated]
paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm. [Deprecated]
go-porterstemmer - A native Go clean room implementation of the Porter Stemming algorithm. [Deprecated]

#### General-Purpose Machine Learning

Spago - Self-contained Machine Learning and Natural Language Processing library in Go.
birdland - A recommendation library in Go.
eaopt - An evolutionary optimization library.
leaves - A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
gobrain - Neural Networks written in Go.
go-featureprocessing - Fast and convenient feature processing for low latency machine learning in Go.
go-mxnet-predictor - Go binding for MXNet c_predict_api to do inference with a pre-trained model.
go-ml-benchmarks — benchmarks of machine learning inference for Go.
go-ml-transpiler - An open source Go transpiler for machine learning models.
golearn - Machine learning for Go.
goml - Machine learning library written in pure Go.
gorgonia - Deep learning in Go.
goro - A high-level machine learning library in the vein of Keras.
gorse - An offline recommender system backend based on collaborative filtering written in Go.
therfoo - An embedded deep learning library for Go.
neat - Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT). [Deprecated]
go-pr - Pattern recognition package in Go lang. [Deprecated]
go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. [Deprecated]
GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. [Deprecated]
bayesian - Naive Bayesian Classification for Golang. [Deprecated]
go-galib - Genetic Algorithms library written in Go / Golang. [Deprecated]
Cloudforest - Ensembles of decision trees in Go/Golang. [Deprecated]
go-dnn - Deep Neural Networks for Golang (powered by MXNet)

#### Spatial analysis and geometry

go-geom - Go library to handle geometries.
gogeo - Spherical geometry in Go.

#### Data Analysis / Data Visualization

dataframe-go - Dataframes for machine-learning and statistics (similar to pandas).
gota - Dataframes.
gonum/mat - A linear algebra package for Go.
gonum/optimize - Implementations of optimization algorithms.
gonum/plot - A plotting library.
gonum/stat - A statistics library.
SVGo - The Go Language library for SVG generation.
glot - Glot is a plotting library for Golang built on top of gnuplot.
globe - Globe wireframe visualization.
gonum/graph - General-purpose graph library.
go-graph - Graph library for Go/Golang language. [Deprecated]
RF - Random forests implementation in Go. [Deprecated]

#### Computer vision

GoCV - Package for computer vision using OpenCV 4 and beyond.

#### Reinforcement learning

gold - A reinforcement learning library.
stable-baselines3 - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.

## Haskell

#### General-Purpose Machine Learning * haskell-ml - Haskell implementations of various ML algorithms. [Deprecated] * HLearn - a suite of libraries for interpreting machine learning models according to their algebraic structure. [Deprecated] * hnn - Haskell Neural Network library. * hopfield-networks - Hopfield Networks for unsupervised learning in Haskell. [Deprecated] * DNNGraph - A DSL for deep neural networks. [Deprecated] * LambdaNet - Configurable Neural Networks in Haskell. [Deprecated]

## Java

#### Natural Language Processing * Cortical.io - Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc…) as quickly and intuitively as the brain. * IRIS - Cortical.io’s FREE NLP, Retina API Analysis Tool (written in JavaFX!) - See the Tutorial Video. * CoreNLP - Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words. * Stanford Parser - A natural language parser is a program that works out the grammatical structure of sentences. * Stanford POS Tagger - A Part-Of-Speech Tagger (POS Tagger). * Stanford Name Entity Recognizer - Stanford NER is a Java implementation of a Named Entity Recognizer. * Stanford Word Segmenter - Tokenization of raw text is a standard pre-processing step for many NLP tasks. * Tregex, Tsurgeon and Semgrex - Tregex is a utility for matching patterns in trees, based on tree relationships and regular expression matches on nodes (the name is short for “tree regular expressions”). * Stanford Phrasal: A Phrase-Based Translation System * Stanford English Tokenizer - Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. * Stanford Tokens Regex - A tokenizer divides text into a sequence of tokens, which roughly correspond to “words”. * Stanford Temporal Tagger - SUTime is a library for recognizing and normalizing time expressions. * Stanford SPIED - Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion. * Twitter Text Java - A Java implementation of Twitter’s text processing library. * MALLET - A Java-based package for statistical natural language processing, document classification, clustering, topic modelling, information extraction, and other machine learning applications to text. * OpenNLP - A machine learning based toolkit for the processing of natural language text. * LingPipe - A tool kit for processing text using computational linguistics. * ClearTK - ClearTK provides a framework for developing statistical natural language processing (NLP) components in Java and is built on top of Apache UIMA. [Deprecated] * Apache cTAKES - Apache Clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source natural language processing system for information extraction from electronic medical record clinical free-text. * NLP4J - The NLP4J project provides software and resources for natural language processing. The project started at the Center for Computational Language and EducAtion Research, and is currently developed by the Center for Language and Information Research at Emory University. [Deprecated] * CogcompNLP - This project collects a number of core libraries for Natural Language Processing (NLP) developed in the University of Illinois’ Cognitive Computation Group, for example illinois-core-utilities which provides a set of NLP-friendly data structures and a number of NLP-related utilities that support writing NLP applications, running experiments, etc, illinois-edison a library for feature extraction from illinois-core-utilities data structures and many other packages.

#### General-Purpose Machine Learning

aerosolve - A machine learning library by Airbnb designed from the ground up to be human friendly.
AMIDST Toolbox - A Java Toolbox for Scalable Probabilistic Machine Learning.
Chips-n-Salsa - A Java library for genetic algorithms, evolutionary computation, and stochastic local search, with a focus on self-adaptation / self-tuning, as well as parallel execution.
Datumbox - Machine Learning framework for rapid development of Machine Learning and Statistical applications.
ELKI - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)
Encog - An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trainings using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.
FlinkML in Apache Flink - Distributed machine learning library in Flink.
H2O - ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
htm.java - General Machine Learning library using Numenta’s Cortical Learning Algorithm.
liblinear-java - Java version of liblinear.
Mahout - Distributed machine learning.
Meka - An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
MLlib in Apache Spark - Distributed machine learning library in Spark.
Hydrosphere Mist - a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
Neuroph - Neuroph is lightweight Java neural network framework.
ORYX - Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Samoa SAMOA is a framework that includes distributed machine learning for data streams with an interface to plug-in different stream processing platforms.
RankLib - RankLib is a library of learning to rank algorithms. [Deprecated]
rapaio - statistics, data mining and machine learning toolbox in Java.
RapidMiner - RapidMiner integration into Java code.
Stanford Classifier - A classifier is a machine learning tool that will take data items and place them into one of k classes.
Smile - Statistical Machine Intelligence & Learning Engine.
SystemML - flexible, scalable machine learning (ML) language.
Tribou - A machine learning library written in Java by Oracle.
Weka - Weka is a collection of machine learning algorithms for data mining tasks.
LBJava - Learning Based Java is a modelling language for the rapid development of software systems, offers a convenient, declarative syntax for classifier and constraint definition directly in terms of the objects in the programmer’s application.
knn-java-library - Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.

#### Speech Recognition * CMU Sphinx - Open Source Toolkit For Speech Recognition purely based on Java speech recognition library.

#### Data Analysis / Data Visualization

Flink - Open source platform for distributed stream and batch data processing.
Hadoop - Hadoop/HDFS.
Onyx - Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
Spark - Spark is a fast and general engine for large-scale data processing.
Storm - Storm is a distributed realtime computation system.
Impala - Real-time Query for Hadoop.
DataMelt - Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization.
Dr. Michael Thomas Flanagan’s Java Scientific Library. [Deprecated]

#### Deep Learning

Deeplearning4j - Scalable deep learning for industry with parallel GPUs.
Keras Beginner Tutorial - Friendly guide on using Keras to implement a simple Neural Network in Python.
deepjavalibrary/djl - Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning, designed to be easy to get started with and simple to use for Java developers.

## JavaScript

#### Natural Language Processing

Twitter-text - A JavaScript implementation of Twitter’s text processing library.
natural - General natural language facilities for node.
Knwl.js - A Natural Language Processor in JS.
Retext - Extensible system for analyzing and manipulating natural language.
NLP Compromise - Natural Language processing in the browser.
nlp.js - An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.

#### Data Analysis / Data Visualization

D3.js
High Charts
NVD3.js
dc.js
chartjs
dimple
amCharts
D3xter - Straight forward plotting built on D3. [Deprecated]
statkit - Statistics kit for JavaScript. [Deprecated]
datakit - A lightweight framework for data analysis in JavaScript
science.js - Scientific and statistical computing in JavaScript. [Deprecated]
Z3d - Easily make interactive 3d plots built on Three.js [Deprecated]
Sigma.js - JavaScript library dedicated to graph drawing.
C3.js - customizable library based on D3.js for easy chart drawing.
Datamaps - Customizable SVG map/geo visualizations using D3.js. [Deprecated]
ZingChart - library written on Vanilla JS for big data visualization.
cheminfo - Platform for data visualization and analysis, using the visualizer project.
Learn JS Data
AnyChart
FusionCharts
Nivo - built on top of the awesome d3 and Reactjs libraries

#### General-Purpose Machine Learning

Auto ML - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! [Deprecated]
Convnet.js - ConvNetJS is a JavaScript library for training Deep Learning modelsDEEP LEARNING [Deprecated]
Clusterfck - Agglomerative hierarchical clustering implemented in JavaScript for Node.js and the browser. [Deprecated]
Clustering.js - Clustering algorithms implemented in JavaScript for Node.js and the browser. [Deprecated]
Decision Trees - NodeJS Implementation of Decision Tree using ID3 Algorithm. [Deprecated]
DN2A - Digital Neural Networks Architecture. [Deprecated]
figue - K-means, fuzzy c-means and agglomerative clustering.
Gaussian Mixture Model - Unsupervised machine learning with multivariate Gaussian mixture model.
Node-fann - FANN (Fast Artificial Neural Network Library) bindings for Node.js [Deprecated]
Keras.js - Run Keras models in the browser, with GPU support provided by WebGL 2.
Kmeans.js - Simple JavaScript implementation of the k-means algorithm, for node.js and the browser. [Deprecated]
LDA.js - LDA topic modelling for Node.js
Learning.js - JavaScript implementation of logistic regression/c4.5 decision tree [Deprecated]
machinelearn.js - Machine Learning library for the web, Node.js and developers
mil-tokyo - List of several machine learning libraries.
Node-SVM - Support Vector Machine for Node.js
Brain - Neural networks in JavaScript [Deprecated]
Brain.js - Neural networks in JavaScript - continued community fork of Brain.
Bayesian-Bandit - Bayesian bandit implementation for Node and the browser. [Deprecated]
Synaptic - Architecture-free neural network library for Node.js and the browser.
kNear - JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
NeuralN - C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training. [Deprecated]
kalman - Kalman filter for JavaScript. [Deprecated]
shaman - Node.js library with support for both simple and multiple linear regression. [Deprecated]
ml.js - Machine learning and numerical analysis tools for Node.js and the Browser!
ml5 - Friendly machine learning for the web!
Pavlov.js - Reinforcement learning using Markov Decision Processes.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
TensorFlow.js - A WebGL accelerated, browser based JavaScript library for training and deploying ML models.
JSMLT - Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
xgboost-node - Run XGBoost model and make predictions in Node.js.
Netron - Visualizer for machine learning models.
tensor-js - A deep learning library for the browser, accelerated by WebGL and WebAssembly.
WebDNN - Fast Deep Neural Network JavaScript Framework. WebDNN uses next generation JavaScript API, WebGPU for GPU execution, and WebAssembly for CPU execution.
WebNN - A new web standard that allows web apps and frameworks to accelerate deep neural networks with on-device hardware such as GPUs, CPUs, or purpose-built AI accelerators.

#### Misc

stdlib - A standard library for JavaScript and Node.js, with an emphasis on numeric computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
sylvester - Vector and Matrix math for JavaScript. [Deprecated]
simple-statistics - A JavaScript implementation of descriptive, regression, and inference statistics. Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in Node.js.
regression-js - A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
Lyric - Linear Regression library. [Deprecated]
GreatCircle - Library for calculating great circle distance.
MLPleaseHelp - MLPleaseHelp is a simple ML resource search engine. You can use this search engine right now at https://jgreenemi.github.io/MLPleaseHelp/, provided via GitHub Pages.
Pipcook - A JavaScript application framework for machine learning and its engineering.

#### Demos and Scripts * The Bot - Example of how the neural network learns to predict the angle between two points created with Synaptic. * Half Beer - Beer glass classifier created with Synaptic. * NSFWJS - Indecent content checker with TensorFlow.js * Rock Paper Scissors - Rock Paper Scissors trained in the browser with TensorFlow.js * Heroes Wear Masks - A fun TensorFlow.js-based oracle that tells, whether one wears a face mask or not. It can even tell when one wears the mask incorrectly.

## Julia

#### General-Purpose Machine Learning

MachineLearning - Julia Machine Learning library. [Deprecated]
MLBase - A set of functions to support the development of machine learning algorithms.
PGM - A Julia framework for probabilistic graphical models.
DA - Julia package for Regularized Discriminant Analysis.
Regression - Algorithms for regression analysis (e.g. linear regression and logistic regression). [Deprecated]
Local Regression - Local regression, so smooooth!
Naive Bayes - Simple Naive Bayes implementation in Julia. [Deprecated]
Mixed Models - A Julia package for fitting (statistical) mixed-effects models.
Simple MCMC - basic MCMC sampler implemented in Julia. [Deprecated]
Distances - Julia module for Distance evaluation.
Decision Tree - Decision Tree Classifier and Regressor.
Neural - A neural network in Julia.
MCMC - MCMC tools for Julia. [Deprecated]
Mamba - Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
GLM - Generalized linear models in Julia.
Gaussian Processes - Julia package for Gaussian processes.
Online Learning [Deprecated]
GLMNet - Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Clustering - Basic functions for clustering data: k-means, dp-means, etc.
SVM - SVM for Julia. [Deprecated]
Kernel Density - Kernel density estimators for Julia.
MultivariateStats - Methods for dimensionality reduction.
NMF - A Julia package for non-negative matrix factorization.
ANN - Julia artificial neural networks. [Deprecated]
Mocha - Deep Learning framework for Julia inspired by Caffe. [Deprecated]
XGBoost - eXtreme Gradient Boosting Package in Julia.
ManifoldLearning - A Julia package for manifold learning and nonlinear dimensionality reduction.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
Merlin - Flexible Deep Learning Framework in Julia.
ROCAnalysis - Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers.
GaussianMixtures - Large scale Gaussian Mixture Models.
ScikitLearn - Julia implementation of the scikit-learn API.
Knet - Koç University Deep Learning Framework.
Flux - Relax! Flux is the ML library that doesn’t make you tensor
MLJ - A Julia machine learning framework.

#### Natural Language Processing

Topic Models - TopicModels for Julia. [Deprecated]
Text Analysis - Julia package for text analysis.
Word Tokenizers - Tokenizers for Natural Language Processing in Julia
Corpus Loaders - A Julia package providing a variety of loaders for various NLP corpora.
Embeddings - Functions and data dependencies for loading various word embeddings
Languages - Julia package for working with various human languages
WordNet - A Julia package for Princeton’s WordNet

#### Data Analysis / Data Visualization

Graph Layout - Graph layout algorithms in pure Julia.
LightGraphs - Graph modelling and analysis.
Data Frames Meta - Metaprogramming tools for DataFrames.
Julia Data - library for working with tabular data in Julia. [Deprecated]
Data Read - Read files from Stata, SAS, and SPSS.
Hypothesis Tests - Hypothesis tests for Julia.
Gadfly - Crafty statistical graphics for Julia.
Stats - Statistical tests for Julia.
RDataSets - Julia package for loading many of the data sets available in R.
DataFrames - library for working with tabular data in Julia.
Distributions - A Julia package for probability distributions and associated functions.
Data Arrays - Data structures that allow missing values. [Deprecated]
Time Series - Time series toolkit for Julia.
Sampling - Basic sampling algorithms for Julia.

#### Misc Stuff / Presentations

DSP - Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
JuliaCon Presentations - Presentations for JuliaCon.
SignalProcessing - Signal Processing tools for Julia.
Images - An image library for Julia.
DataDeps - Reproducible data setup for reproducible science.

## Kotlin

#### Deep Learning * KotlinDL - Deep learning framework written in Kotlin.

## Lua

#### General-Purpose Machine Learning

Torch7
- cephes - Cephes mathematical functions library, wrapped for Torch. Provides and wraps the 180+ special mathematical functions from the Cephes mathematical library, developed by Stephen L. Moshier. It is used, among many other places, at the heart of SciPy. [Deprecated]
- autograd - Autograd automatically differentiates native Torch code. Inspired by the original Python version.
- graph - Graph package for Torch. [Deprecated]
- randomkit - Numpy’s randomkit, wrapped for Torch. [Deprecated]
- signal - A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stft.
- nn - Neural Network package for Torch.
- torchnet - framework for torch which provides a set of abstractions aiming at encouraging code re-use as well as encouraging modular programming.
- nngraph - This package provides graphical computation for nn library in Torch7.
- nnx - A completely unstable and experimental package that extends Torch’s builtin nn library.
- rnn - A Recurrent Neural Network library that extends Torch’s nn. RNNs, LSTMs, GRUs, BRNNs, BLSTMs, etc.
- dpnn - Many useful features that aren’t part of the main nn package.
- dp - A deep learning library designed for streamlining research and development using the Torch7 distribution. It emphasizes flexibility through the elegant use of object-oriented design patterns. [Deprecated]
- optim - An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
- unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, …), and self-contained algorithms (k-means, PCA). [Deprecated]
- manifold - A package to manipulate manifolds.
- svm - Torch-SVM library. [Deprecated]
- lbfgs - FFI Wrapper for liblbfgs. [Deprecated]
- vowpalwabbit - An old vowpalwabbit interface to torch. [Deprecated]
- OpenGM - OpenGM is a C++ library for graphical modelling, and inference. The Lua bindings provide a simple way of describing graphs, from Lua, and then optimizing them with OpenGM. [Deprecated]
- spaghetti - Spaghetti (sparse linear) module for torch7 by @MichaelMathieu [**Deprecated**]
- LuaSHKit - A Lua wrapper around the Locality sensitive hashing library SHKit [Deprecated]
- kernel smoothing - KNN, kernel-weighted average, local linear regression smoothers. [Deprecated]
- cutorch - Torch CUDA Implementation.
- cunn - Torch CUDA Neural Network Implementation.
- imgraph - An image/graph library for Torch. This package provides routines to construct graphs on images, segment them, build trees out of them, and convert them back to images. [Deprecated]
- videograph - A video/graph library for Torch. This package provides routines to construct graphs on videos, segment them, build trees out of them, and convert them back to videos. [Deprecated]
- saliency - code and tools around integral images. A library for finding interest points based on fast integral histograms. [Deprecated]
- stitch - allows us to use hugin to stitch images and apply same stitching to a video sequence. [Deprecated]
- sfm - A bundle adjustment/structure from motion package. [Deprecated]
- fex - A package for feature extraction in Torch. Provides SIFT and dSIFT modules. [Deprecated]
- OverFeat - A state-of-the-art generic dense feature extractor. [Deprecated]
- wav2letter - a simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research.
Numeric Lua
Lunatic Python
SciLua
Lua - Numerical Algorithms [Deprecated]
Lunum [Deprecated]
Keras GPT Copilot - A python package that integrates an LLM copilot inside the keras model development workflow.

#### Demos and Scripts * Core torch7 demos repository. * linear-regression, logistic-regression * face detector (training and detection as separate demos) * mst-based-segmenter * train-a-digit-classifier * train-autoencoder * optical flow demo * train-on-housenumbers * train-on-cifar * tracking with deep nets * kinect demo * filter-bank visualization * saliency-networks * Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo) * torch-datasets - Scripts to load several popular datasets including: * BSR 500 * CIFAR-10 * COIL * Street View House Numbers * MNIST * NORB * Atari2600 - Scripts to generate a dataset with static frames from the Arcade Learning Environment.

## Matlab

#### Computer Vision

Contourlets - MATLAB source code that implements the contourlet transform and its utility functions.
Shearlets - MATLAB code for shearlet transform.
Curvelets - The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.
Bandlets - MATLAB code for bandlet transform.
mexopencv - Collection and a development kit of MATLAB mex functions for OpenCV library.

#### Natural Language Processing

NLP - A NLP library for Matlab.

#### General-Purpose Machine Learning

Training a deep autoencoder or a classifier on MNIST digits - Training a deep autoencoder or a classifier on MNIST digitsDEEP LEARNING.
Convolutional-Recursive Deep Learning for 3D Object Classification - Convolutional-Recursive Deep Learning for 3D Object ClassificationDEEP LEARNING.
Spider - The spider is intended to be a complete object orientated environment for machine learning in Matlab.
LibSVM - A Library for Support Vector Machines.
ThunderSVM - An Open-Source SVM Library on GPUs and CPUs
LibLinear - A Library for Large Linear Classification.
Machine Learning Module - Class on machine w/ PDF, lectures, code
Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind.
Pattern Recognition Toolbox - A complete object-oriented environment for machine learning in Matlab.
Pattern Recognition and Machine Learning - This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly with MATLAB.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
Machine Learning in MatLab/Octave - Examples of popular machine learning algorithms (neural networks, linear/logistic regressions, K-Means, etc.) with code examples and mathematics behind them being explained.

#### Data Analysis / Data Visualization

ParaMonte - A general-purpose MATLAB library for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.
matlab_bgl - MatlabBGL is a Matlab package for working with graphs.
gaimc - Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL’s mex functions.

## .NET

#### Computer Vision

OpenCVDotNet - A wrapper for the OpenCV project to be used with .NET applications.
Emgu CV - Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
AForge.NET - Open source C# framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence. Development has now shifted to GitHub.
Accord.NET - Together with AForge.NET, this library can provide image processing and computer vision algorithms to Windows, Windows RT and Windows Phone. Some components are also available for Java and Android.

#### Natural Language Processing

Stanford.NLP for .NET - A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.

#### General-Purpose Machine Learning

Accord-Framework -The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications.
Accord.MachineLearning - Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
DiffSharp - An automatic differentiation (AD) library providing exact and efficient derivatives (gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products) for machine learning and optimization applications. Operations can be nested to any level, meaning that you can compute exact higher-order derivatives and differentiate functions that are internally making use of differentiation, for applications such as hyperparameter optimization.
Encog - An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.
GeneticSharp - Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination.
Infer.NET - Infer.NET is a framework for running Bayesian inference in graphical models. One can use Infer.NET to solve many different kinds of machine learning problems, from standard problems like classification, recommendation or clustering through customized solutions to domain-specific problems. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision, and many others.
ML.NET - ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers. ML.NET was originally developed in Microsoft Research and evolved into a significant framework over the last decade and is used across many product groups in Microsoft like Windows, Bing, PowerPoint, Excel and more.
Neural Network Designer - DBMS management system and designer for neural networks. The designer application is developed using WPF, and is a user interface which allows you to design your neural network, query the network, create and configure chat bots that are capable of asking questions and learning from your feedback. The chat bots can even scrape the internet for information to return in their output as well as to use for learning.
Synapses - Neural network library in F#.
Vulpes - Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase.
MxNet.Sharp - .NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

#### Data Analysis / Data Visualization

numl - numl is a machine learning library intended to ease the use of using standard modelling techniques for both prediction and clustering.
Math.NET Numerics - Numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and everyday use. Supports .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5, WindowsPhone/SL 8, WindowsPhone 8.1 and Windows 8 with PCL Portable Profiles 47 and 344; Android/iOS with Xamarin.
Sho - Sho is an interactive environment for data analysis and scientific computing that lets you seamlessly connect scripts (in IronPython) with compiled code (in .NET) to enable fast and flexible prototyping. The environment includes powerful and efficient libraries for linear algebra as well as data visualization that can be used from any .NET language, as well as a feature-rich interactive shell for rapid development.

## Objective C

### General-Purpose Machine Learning

YCML - A Machine Learning framework for Objective-C and Swift (OS X / iOS).
MLPNeuralNet - Fast multilayer perceptron neural network library for iOS and Mac OS X. MLPNeuralNet predicts new examples by trained neural networks. It is built on top of the Apple’s Accelerate Framework, using vectorized operations and hardware acceleration if available. [Deprecated]
MAChineLearning - An Objective-C multilayer perceptron library, with full support for training through backpropagation. Implemented using vDSP and vecLib, it’s 20 times faster than its Java equivalent. Includes sample code for use from Swift.
BPN-NeuralNetwork - It implemented 3 layers of neural networks ( Input Layer, Hidden Layer and Output Layer ) and it was named Back Propagation Neural Networks (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis. [Deprecated]
Multi-Perceptron-NeuralNetwork - It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
KRHebbian-Algorithm - It is a non-supervisory and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. [Deprecated]
KRKmeans-Algorithm - It implemented K-Means clustering and classification algorithm. It could be used in data mining and image compression. [Deprecated]
KRFuzzyCMeans-Algorithm - It implemented Fuzzy C-Means (FCM) the fuzzy clustering / classification algorithm on Machine Learning. It could be used in data mining and image compression. [Deprecated]

## OCaml

### General-Purpose Machine Learning

Oml - A general statistics and machine learning library.
GPR - Efficient Gaussian Process Regression in OCaml.
Libra-Tk - Algorithms for learning and inference with discrete probabilistic models.
TensorFlow - OCaml bindings for TensorFlow.

## OpenCV

### OpenSource-Computer-Vision

OpenCV - A OpenSource Computer Vision Library

## Perl

### Data Analysis / Data Visualization

Perl Data Language, a pluggable architecture for data and image processing, which can be used for machine learning.

### General-Purpose Machine Learning

MXnet for Deep Learning, in Perl, also released in CPAN.
Perl Data Language, using AWS machine learning platform from Perl.
Algorithm::SVMLight, implementation of Support Vector Machines with SVMLight under it. [Deprecated]
Several machine learning and artificial intelligence models are included in the AI namespace. For instance, you can find Naïve Bayes.

## Perl 6

### Data Analysis / Data Visualization

Perl Data Language, a pluggable architecture for data and image processing, which can be used for machine learning.

### General-Purpose Machine Learning

## PHP

### Natural Language Processing

jieba-php - Chinese Words Segmentation Utilities.

### General-Purpose Machine Learning

PHP-ML - Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
PredictionBuilder - A library for machine learning that builds predictions using a linear regression.
Rubix ML - A high-level machine learning (ML) library that lets you build programs that learn from data using the PHP language.
19 Questions - A machine learning / bayesian inference assigning attributes to objects.

## Python

#### Computer Vision

Scikit-Image - A collection of algorithms for image processing in Python.
Scikit-Opt - Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm, Artificial Fish Swarm Algorithm in Python)
SimpleCV - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
Vigranumpy - Python bindings for the VIGRA C++ computer vision library.
OpenFace - Free and open source face recognition with deep neural networks.
PCV - Open source Python module for computer vision. [Deprecated]
face_recognition - Face recognition library that recognizes and manipulates faces from Python or from the command line.
deepface - A lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for Python covering cutting-edge models such as VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, Dlib and ArcFace.
retinaface - deep learning based cutting-edge facial detector for Python coming with facial landmarks
dockerface - Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container. [Deprecated]
Detectron - FAIR’s software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. [Deprecated]
detectron2 - FAIR’s next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.
albumentations - А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops.
pytessarct - Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and “read” the text embedded in images. Python-tesseract is a wrapper for Google’s Tesseract-OCR Engine.
imutils - A library containing Convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
PyTorchCV - A PyTorch-Based Framework for Deep Learning in Computer Vision.
joliGEN - Generative AI Image Toolset with GANs and Diffusion for Real-World Applications.
Self-supervised learning
neural-style-pt - A PyTorch implementation of Justin Johnson’s neural-style (neural style transfer).
Detecto - Train and run a computer vision model with 5-10 lines of code.
neural-dream - A PyTorch implementation of DeepDream.
Openpose - A real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Deep High-Resolution-Net - A PyTorch implementation of CVPR2019 paper “Deep High-Resolution Representation Learning for Human Pose Estimation”
TF-GAN - TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
dream-creator - A PyTorch implementation of DeepDream. Allows individuals to quickly and easily train their own custom GoogleNet models with custom datasets for DeepDream.
Lucent - Tensorflow and OpenAI Clarity’s Lucid adapted for PyTorch.
lightly - Lightly is a computer vision framework for self-supervised learning.
Learnergy - Energy-based machine learning models built upon PyTorch.
OpenVisionAPI - Open source computer vision API based on open source models.
IoT Owl - Light face detection and recognition system with huge possibilities, based on Microsoft Face API and TensorFlow made for small IoT devices like raspberry pi.
Exadel CompreFace - face recognition system that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition and is easily deployed with docker.
computer-vision-in-action - as known as L0CV, is a new generation of computer vision open source online learning media, a cross-platform interactive learning framework integrating graphics, source code and HTML. the L0CV ecosystem — Notebook, Datasets, Source Code, and from Diving-in to Advanced — as well as the L0CV Hub.
timm - PyTorch image models, scripts, pretrained weights – ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more.
segmentation_models.pytorch - A PyTorch-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images.
segmentation_models - A TensorFlow Keras-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images.
MLX- MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.

#### Natural Language Processing

pkuseg-python - A better version of Jieba, developed by Peking University.
NLTK - A leading platform for building Python programs to work with human language data.
Pattern - A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
Quepy - A python framework to transform natural language questions to queries in a database query language.
TextBlob - Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.
YAlign - A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora. [Deprecated]
jieba - Chinese Words Segmentation Utilities.
SnowNLP - A library for processing Chinese text.
spammy - A library for email Spam filtering built on top of NLTK
loso - Another Chinese segmentation library. [Deprecated]
genius - A Chinese segment based on Conditional Random Field.
KoNLPy - A Python package for Korean natural language processing.
nut - Natural language Understanding Toolkit. [Deprecated]
Rosetta - Text processing tools and wrappers (e.g. Vowpal Wabbit)
BLLIP Parser - Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser). [Deprecated]
PyNLPl - Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for FoLiA, but also ARPA language models, Moses phrasetables, GIZA++ alignments.
PySS3 - Python package that implements a novel white-box machine learning model for text classification, called SS3. Since SS3 has the ability to visually explain its rationale, this package also comes with easy-to-use interactive visualizations tools (online demos).
python-ucto - Python binding to ucto (a unicode-aware rule-based tokenizer for various languages).
python-frog - Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)
python-zpar - Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
colibri-core - Python binding to C++ library for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
spaCy - Industrial strength NLP with Python and Cython.
PyStanfordDependencies - Python interface for converting Penn Treebank trees to Stanford Dependencies.
Distance - Levenshtein and Hamming distance computation. [Deprecated]
Fuzzy Wuzzy - Fuzzy String Matching in Python.
Neofuzz - Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.
jellyfish - a python library for doing approximate and phonetic matching of strings.
editdistance - fast implementation of edit distance.
textacy - higher-level NLP built on Spacy.
stanford-corenlp-python - Python wrapper for Stanford CoreNLP [Deprecated]
CLTK - The Classical Language Toolkit.
Rasa - A “machine learning framework to automate text-and voice-based conversations.”
yase - Transcode sentence (or other sequence) to list of word vector .
Polyglot - Multilingual text (NLP) processing toolkit.
DrQA - Reading Wikipedia to answer open-domain questions.
Dedupe - A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
Snips NLU - Natural Language Understanding library for intent classification and entity extraction
NeuroNER - Named-entity recognition using neural networks providing state-of-the-art-results
DeepPavlov - conversational AI library with many pre-trained Russian NLP models.
BigARTM - topic modelling platform.
NALP - A Natural Adversarial Language Processing framework built over Tensorflow.
DL Translate - A deep learning-based translation library between 50 languages, built with transformers.
Haystack - A framework for building industrial-strength applications with Transformer models and LLMs.
CometLLM - Track, log, visualize and evaluate your LLM prompts and prompt chains.
Transformers - A deep learning library containing thousands of pre-trained models on different tasks. The goto place for anything related to Large Language Models.

#### General-Purpose Machine Learning

XAD -> Fast and easy-to-use backpropagation tool.
Aim -> An easy-to-use & supercharged open-source AI metadata tracker.
RexMex -> A general purpose recommender metrics library for fair evaluation.
ChemicalX -> A PyTorch based deep learning library for drug pair scoring
Microsoft ML for Apache Spark -> A distributed machine learning framework Apache Spark
Shapley -> A data-driven framework to quantify the value of classifiers in a machine learning ensemble.
igel -> A delightful machine learning tool that allows you to train/fit, test and use models without writing code
ML Model building -> A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
ML/DL project template
PyTorch Frame -> A Modular Framework for Multi-Modal Tabular Learning.
PyTorch Geometric -> Graph Neural Network Library for PyTorch.
PyTorch Geometric Temporal -> A temporal extension of PyTorch Geometric for dynamic graph representation learning.
Little Ball of Fur -> A graph sampling extension library for NetworkX with a Scikit-Learn like API.
Karate Club -> An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Auto_ViML -> Automatically Build Variant Interpretable ML models fast! Auto_ViML is pronounced “auto vimal”, is a comprehensive and scalable Python AutoML toolkit with imbalanced handling, ensembling, stacking and built-in feature selection. Featured in .

PyOD -> Python Outlier Detection, comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. Featured for Advanced models, including Neural Networks/Deep Learning and Outlier Ensembles.
steppy -> Lightweight, Python library for fast and reproducible machine learning experimentation. Introduces a very simple interface that enables clean machine learning pipeline design.
steppy-toolkit -> Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective.
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. Documentation can be found here.
Couler - Unified interface for constructing and managing machine learning workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
auto_ml - Automated machine learning for production and analytics. Lets you focus on the fun parts of ML, while outputting production-ready code, and detailed analytics of your dataset and results. Includes support for NLP, XGBoost, CatBoost, LightGBM, and soon, deep learning.
dtaidistance - High performance library for time series distances (DTW) and time series clustering.
einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
machine learning - automated build consisting of a web-interface, and set of programmatic-interface API, for support vector machines. Corresponding dataset(s) are stored into a SQL database, then generated model(s) used for prediction(s), are stored into a NoSQL datastore.
XGBoost - Python bindings for eXtreme Gradient Boosting (Tree) Library.
ChefBoost - a lightweight decision tree framework for Python with categorical feature support covering regular decision tree algorithms such as ID3, C4.5, CART, CHAID and regression tree; also some advanved bagging and boosting techniques such as gradient boosting, random forest and adaboost.
Apache SINGA - An Apache Incubating project for developing an open source machine learning library.
Bayesian Methods for Hackers - Book/iPython notebooks on Probabilistic Programming in Python.
Featureforge A set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
MLlib in Apache Spark - Distributed machine learning library in Spark
Hydrosphere Mist - A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
Towhee - A Python module that encode unstructured data into embeddings.
scikit-learn - A Python module for machine learning built on top of SciPy.
metric-learn - A Python module for metric learning.
OpenMetricLearning - A PyTorch-based framework to train and validate the models producing high-quality embeddings.
Intel(R) Extension for Scikit-learn - A seamless way to speed up your Scikit-learn applications with no accuracy loss and code changes.
SimpleAI Python implementation of many of the artificial intelligence algorithms described in the book “Artificial Intelligence, a Modern Approach”. It focuses on providing an easy to use, well documented and tested library.
astroML - Machine Learning and Data Mining for Astronomy.
graphlab-create - A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.
BigML - A library that contacts external servers.
pattern - Web mining module for Python.
NuPIC - Numenta Platform for Intelligent Computing.
Pylearn2 - A Machine Learning library based on Theano. [Deprecated]
keras - High-level neural networks frontend for TensorFlow, CNTK and Theano.
Lasagne - Lightweight library to build and train neural networks in Theano.
hebel - GPU-Accelerated Deep Learning Library in Python. [Deprecated]
Chainer - Flexible neural network framework.
prophet - Fast and automated time series forecasting framework by Facebook.
gensim - Topic Modelling for Humans.
tweetopic - Blazing fast short-text-topic-modelling for Python.
topicwizard - Interactive topic model visualization/interpretation framework.
topik - Topic modelling toolkit. [Deprecated]
PyBrain - Another Python Machine Learning Library.
Brainstorm - Fast, flexible and fun neural networks. This is the successor of PyBrain.
Surprise - A scikit for building and analyzing recommender systems.
implicit - Fast Python Collaborative Filtering for Implicit Datasets.
LightFM - A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
Crab - A flexible, fast recommender engine. [Deprecated]
python-recsys - A Python library for implementing a Recommender System.
thinking bayes - Book on Bayesian Analysis.
Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by isola et al.DEEP LEARNING
Restricted Boltzmann Machines -Restricted Boltzmann Machines in Python. DEEP LEARNING
Bolt - Bolt Online Learning Toolbox. [Deprecated]
CoverTree - Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree [Deprecated]
nilearn - Machine learning for NeuroImaging in Python.
neuropredict - Aimed at novice machine learners and non-expert programmers, this package offers easy (no coding needed) and comprehensive machine learning (evaluation and full report of predictive performance WITHOUT requiring you to code) in Python for NeuroImaging and any other type of features. This is aimed at absorbing much of the ML workflow, unlike other packages like nilearn and pymvpa, which require you to learn their API and code to produce anything useful.
imbalanced-learn - Python module to perform under sampling and oversampling with various techniques.
imbalanced-ensemble - Python toolbox for quick implementation, modification, evaluation, and visualization of ensemble learning algorithms for class-imbalanced data. Supports out-of-the-box multi-class imbalanced (long-tailed) classification.
Shogun - The Shogun Machine Learning Toolbox.
Pyevolve - Genetic algorithm framework. [Deprecated]
Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind.
breze - Theano based library for deep and recurrent neural networks.
Cortex - Open source platform for deploying machine learning models in production.
pyhsmm - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.
SKLL - A wrapper around scikit-learn that makes it simpler to conduct experiments.
neurolab
Spearmint - Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012. [Deprecated]
Pebl - Python Environment for Bayesian Learning. [Deprecated]
Theano - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python.
TensorFlow - Open source software library for numerical computation using data flow graphs.
pomegranate - Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
python-timbl - A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
deap - Evolutionary algorithm framework.
pydeep - Deep Learning In Python. [Deprecated]
mlxtend - A library consisting of useful tools for data science and machine learning tasks.
neon - Nervana’s high-performance Python-based Deep Learning framework DEEP LEARNING. [Deprecated]
Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search.
Neural Networks and Deep Learning - Code samples for my book “Neural Networks and Deep Learning” DEEP LEARNING.
Annoy - Approximate nearest neighbours implementation.
TPOT - Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.
pgmpy A python library for working with Probabilistic Graphical Models.
DIGITS - The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
Orange - Open source data visualization and data analysis for novices and experts.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
milk - Machine learning toolkit focused on supervised classification. [Deprecated]
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
REP - an IPython-based environment for conducting data-driven research in a consistent and reproducible way. REP is not trying to substitute scikit-learn, but extends it and provides better user experience. [Deprecated]
rgf_python - Python bindings for Regularized Greedy Forest (Tree) Library.
skbayes - Python package for Bayesian Machine Learning with scikit-learn API.
fuku-ml - Simple machine learning library, including Perceptron, Regression, Support Vector Machine, Decision Tree and more, it’s easy to use and easy to learn for beginners.
Xcessiv - A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling.
PyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Lightning - The lightweight PyTorch wrapper for high-performance AI research.
PyTorch Lightning Bolts - Toolbox of models, callbacks, and datasets for AI/ML researchers.
skorch - A scikit-learn compatible neural network library that wraps PyTorch.
ML-From-Scratch - Implementations of Machine Learning models from scratch in Python with a focus on transparency. Aims to showcase the nuts and bolts of ML in an accessible way.
Edward - A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow.
xRBM - A library for Restricted Boltzmann Machine (RBM) and its conditional variants in Tensorflow.
CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, well documented and supports CPU and GPU (even multi-GPU) computation.
stacked_generalization - Implementation of machine learning stacking technique as a handy library in Python.
modAL - A modular active learning framework for Python, built on top of scikit-learn.
Cogitare: A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
Parris - Parris, the automated infrastructure setup tool for machine learning algorithms.
neonrvm - neonrvm is an open source machine learning library based on RVM technique. It’s written in C programming language and comes with Python programming language bindings.
Turi Create - Machine learning from Apple. Turi Create simplifies the development of custom machine learning models. You don’t have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app.
xLearn - A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online advertisement and recommender systems.
mlens - A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
Thampi - Machine Learning Prediction System on AWS Lambda
MindsDB - Open Source framework to streamline use of neural networks.
Microsoft Recommenders: Examples and best practices for building recommendation systems, provided as Jupyter notebooks. The repo contains some of the latest state of the art algorithms from Microsoft Research as well as from other companies and institutions.
StellarGraph: Machine Learning on Graphs, a Python library for machine learning on graph-structured (network-structured) data.
BentoML: Toolkit for package and deploy machine learning models for serving in production
MiraiML: An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
numpy-ML: Reference implementations of ML models written in numpy
Neuraxle: A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Cornac - A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
JAX - JAX is Autograd and XLA, brought together for high-performance machine learning research.
Catalyst - High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop.
Fastai - High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
scikit-multiflow - A machine learning framework for multi-output/multi-label and stream data.
Lightwood - A Pytorch based framework that breaks down machine learning problems into smaller blocks that can be glued together seamlessly with objective to build predictive models with one line of code.
bayeso - A simple, but essential Bayesian optimization package, written in Python.
mljar-supervised - An Automated Machine Learning (AutoML) python package for tabular data. It can handle: Binary Classification, MultiClass Classification and Regression. It provides explanations and markdown reports.
evostra - A fast Evolution Strategy implementation in Python.
Determined - Scalable deep learning training platform, including integrated support for distributed training, hyperparameter tuning, experiment tracking, and model management.
PySyft - A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
PyGrid - Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft
sktime - A unified framework for machine learning with time series
OPFython - A Python-inspired implementation of the Optimum-Path Forest classifier.
Opytimizer - Python-based meta-heuristic optimization techniques.
Gradio - A Python library for quickly creating and sharing demos of models. Debug models interactively in your browser, get feedback from collaborators, and generate public links without deploying anything.
Hub - Fastest unstructured dataset management for TensorFlow/PyTorch. Stream & version-control data. Store even petabyte-scale data in a single numpy-like array on the cloud accessible on any machine. Visit activeloop.ai for more info.
Synthia - Multidimensional synthetic data generation in Python.
ByteHub - An easy-to-use, Python-based feature store. Optimized for time-series data.
Backprop - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
River: A framework for general purpose online machine learning.
FEDOT: An AutoML framework for the automated design of composite modelling pipelines. It can handle classification, regression, and time series forecasting tasks on different types of data (including multi-modal datasets).
Sklearn-genetic-opt: An AutoML package for hyperparameters tuning using evolutionary algorithms, with built-in callbacks, plotting, remote logging and more.
Evidently: Interactive reports to analyze machine learning models during validation or production monitoring.
Streamlit: Streamlit is an framework to create beautiful data apps in hours, not weeks.
Optuna: Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Deepchecks: Validation & testing of machine learning models and data during model development, deployment, and production. This includes checks and suites related to various types of issues, such as model performance, data integrity, distribution mismatches, and more.
Shapash : Shapash is a Python library that provides several types of visualization that display explicit labels that everyone can understand.
Eurybia: Eurybia monitors data and model drift over time and securizes model deployment with data validation.
Colossal-AI: An open-source deep learning system for large-scale model training and inference with high efficiency and low cost.
dirty_cat - facilitates machine-learning on dirty, non-curated categories. It provides transformers and encoders robust to morphological variants, such as typos.
Upgini: Free automated data & feature enrichment library for machine learning - automatically searches through thousands of ready-to-use features from public and community shared data sources and enriches your training dataset with only the accuracy improving features.
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics: A tutorial to help machine learning researchers to automatically obtain optimized machine learning models with the optimal learning performance on any specific task.
SKBEL: A Python library for Bayesian Evidential Learning (BEL) in order to estimate the uncertainty of a prediction.
NannyML: Python library capable of fully capturing the impact of data drift on performance. Allows estimation of post-deployment model performance without access to targets.
cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
AutoGluon: AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.
PyBroker - Algorithmic Trading with Machine Learning.
Frouros: Frouros is an open source Python library for drift detection in machine learning systems.
CometML: The best-in-class MLOps platform with experiment tracking, model production monitoring, a model registry, and data lineage from training straight through to production.

#### Data Analysis / Data Visualization * DataComPy - A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy. * DataVisualization - A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level. * Cartopy - Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses. * SciPy - A Python-based ecosystem of open-source software for mathematics, science, and engineering. * NumPy - A fundamental package for scientific computing with Python. * AutoViz AutoViz performs automatic visualization of any dataset with a single line of Python code. Give it any input file (CSV, txt or JSON) of any size and AutoViz will visualize it. See . * Numba - Python JIT (just in time) compiler to LLVM aimed at scientific Python by the developers of Cython and NumPy. * Mars - A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy. * NetworkX - A high-productivity software for complex networks. * igraph - binding to igraph library - General purpose graph library. * Pandas - A library providing high-performance, easy-to-use data structures and data analysis tools. * ParaMonte - A general-purpose Python library for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here. * Vaex - A high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Documentation can be found here. * Open Mining - Business Intelligence (BI) in Python (Pandas web interface) [Deprecated] * PyMC - Markov Chain Monte Carlo sampling toolkit. * zipline - A Pythonic algorithmic trading library. * PyDy - Short for Python Dynamics, used to assist with workflow in the modelling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib. * SymPy - A Python library for symbolic mathematics. * statsmodels - Statistical modelling and econometrics in Python. * astropy - A community Python library for Astronomy. * matplotlib - A Python 2D plotting library. * bokeh - Interactive Web Plotting for Python. * plotly - Collaborative web plotting for Python and matplotlib. * altair - A Python to Vega translator. * d3py - A plotting library for Python, based on D3.js. * PyDexter - Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser. * ggplot - Same API as ggplot2 for R. [Deprecated] * ggfortify - Unified interface to ggplot2 popular R packages. * Kartograph.py - Rendering beautiful SVG maps in Python. * pygal - A Python SVG Charts Creator. * PyQtGraph - A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy. * pycascading [Deprecated] * Petrel - Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python. * Blaze - NumPy and Pandas interface to Big Data. * emcee - The Python ensemble sampling toolkit for affine-invariant MCMC. * windML - A Python Framework for Wind Energy Analysis and Prediction. * vispy - GPU-based high-performance interactive OpenGL 2D/3D data visualization library. * cerebro2 A web-based visualization and debugging platform for NuPIC. [Deprecated] * NuPIC Studio An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool! [Deprecated] * SparklingPandas Pandas on PySpark (POPS). * Seaborn - A python visualization library based on matplotlib. * ipychart - The power of Chart.js in Jupyter Notebook. * bqplot - An API for plotting in Jupyter (IPython). * pastalog - Simple, realtime visualization of neural network training performance. * Superset - A data exploration platform designed to be visual, intuitive, and interactive. * Dora - Tools for exploratory data analysis in Python. * Ruffus - Computation Pipeline library for python. * SOMPY - Self Organizing Map written in Python (Uses neural networks for data analysis). * somoclu Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API. * HDBScan - implementation of the hdbscan algorithm in Python - used for clustering * visualize_ML - A python package for data exploration and data analysis. [Deprecated] * scikit-plot - A visualization library for quick and easy generation of common plots in data analysis and machine learning. * Bowtie - A dashboard library for interactive visualizations using flask socketio and react. * lime - Lime is about explaining what machine learning classifiers (or models) are doing. It is able to explain any black box classifier, with two or more classes. * PyCM - PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters * Dash - A framework for creating analytical web applications built on top of Plotly.js, React, and Flask * Lambdo - A workflow engine for solving machine learning problems by combining in one analysis pipeline (i) feature engineering and machine learning (ii) model training and prediction (iii) table population and column evaluation via user-defined (Python) functions. * TensorWatch - Debugging and visualization tool for machine learning and data science. It extensively leverages Jupyter Notebook to show real-time visualizations of data in running processes such as machine learning training. * dowel - A little logger for machine learning research. Output any object to the terminal, CSV, TensorBoard, text logs on disk, and more with just one call to logger.log().

#### Misc Scripts / iPython Notebooks / Codebases * MiniGrad – A minimal, educational, Pythonic implementation of autograd (~100 loc). * Map/Reduce implementations of common ML algorithms: Jupyter notebooks that cover how to implement from scratch different ML algorithms (ordinary least squares, gradient descent, k-means, alternating least squares), using Python NumPy, and how to then make these implementations scalable using Map/Reduce and Spark. * BioPy - Biologically-Inspired and Machine Learning Algorithms in Python. [Deprecated] * CAEs for Data Assimilation - Convolutional autoencoders for 3D image/field compression applied to reduced order Data Assimilation. * handsonml - Fundamentals of machine learning in python. * SVM Explorer - Interactive SVM Explorer, using Dash and scikit-learn * pattern_classification * thinking stats 2 * hyperopt * numpic * 2012-paper-diginorm * A gallery of interesting IPython notebooks * ipython-notebooks * data-science-ipython-notebooks - Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines. * decision-weights * Sarah Palin LDA - Topic Modelling the Sarah Palin emails. * Diffusion Segmentation - A collection of image segmentation algorithms based on diffusion methods. * Scipy Tutorials - SciPy tutorials. This is outdated, check out scipy-lecture-notes. * Crab - A recommendation engine library for Python. * BayesPy - Bayesian Inference Tools in Python. * scikit-learn tutorials - Series of notebooks for learning scikit-learn. * sentiment-analyzer - Tweets Sentiment Analyzer * sentiment_classifier - Sentiment classifier using word sense disambiguation. * group-lasso - Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model. * jProcessing - Kanji / Hiragana / Katakana to Romaji Converter. Edict Dictionary & parallel sentences Search. Sentence Similarity between two JP Sentences. Sentiment Analysis of Japanese Text. Run Cabocha(ISO–8859-1 configured) in Python. * mne-python-notebooks - IPython notebooks for EEG/MEG data processing using mne-python. * Neon Course - IPython notebooks for a complete course around understanding Nervana’s Neon. * pandas cookbook - Recipes for using Python’s pandas library. * climin - Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others. * Allen Downey’s Data Science Course - Code for Data Science at Olin College, Spring 2014. * Allen Downey’s Think Bayes Code - Code repository for Think Bayes. * Allen Downey’s Think Complexity Code - Code for Allen Downey’s book Think Complexity. * Allen Downey’s Think OS Code - Text and supporting code for Think OS: A Brief Introduction to Operating Systems. * Python Programming for the Humanities - Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP. * GreatCircle - Library for calculating great circle distance. * Optunity examples - Examples demonstrating how to use Optunity in synergy with machine learning libraries. * Dive into Machine Learning with Python Jupyter notebook and scikit-learn - “I learned Python by hacking first, and getting serious later. I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself.” * TDB - TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive, node-by-node debugging and visualization for TensorFlow. * Suiron - Machine Learning for RC Cars. * Introduction to machine learning with scikit-learn - IPython notebooks from Data School’s video tutorials on scikit-learn. * Practical XGBoost in Python - comprehensive online course about using XGBoost in Python. * Introduction to Machine Learning with Python - Notebooks and code for the book “Introduction to Machine Learning with Python” * Pydata book - Materials and IPython notebooks for “Python for Data Analysis” by Wes McKinney, published by O’Reilly Media * Homemade Machine Learning - Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained * Prodmodel - Build tool for data science pipelines. * the-elements-of-statistical-learning - This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook. * Hyperparameter-Optimization-of-Machine-Learning-Algorithms - Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms. * Heart_Disease-Prediction - Given clinical parameters about a patient, can we predict whether or not they have heart disease? * Flight Fare Prediction - This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific. * Keras Tuner - An easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search.

#### Neural Networks

Kinho - Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
nn_builder - nn_builder is a python package that lets you build neural networks in 1 line
NeuralTalk - NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
NeuralTalk - NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences. [Deprecated]
Neuron - Neuron is simple class for time series predictions. It’s utilize LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neural networks learned with Gradient descent or LeLevenberg–Marquardt algorithm. [Deprecated]
Data Driven Code - Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Machine Learning, Data Science and Deep Learning with Python - LiveVideo course that covers machine learning, Tensorflow, artificial intelligence, and neural networks.
TResNet: High Performance GPU-Dedicated Architecture - TResNet models were designed and optimized to give the best speed-accuracy tradeoff out there on GPUs.
TResNet: Simple and powerful neural network library for python - Variety of supported types of Artificial Neural Network and learning algorithms.
Jina AI An easier way to build neural search in the cloud. Compatible with Jupyter Notebooks.
sequitur PyTorch library for creating and training sequence autoencoders in just two lines of code

#### Spiking Neural Networks

Rockpool - A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
Sinabs - A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
Tonic - A library that makes downloading publicly available neuromorphic datasets a breeze and provides event-based data transformation/augmentation pipelines.

#### Python Survival Analysis * lifelines - lifelines is a complete survival analysis library, written in pure Python * Scikit-Survival - scikit-survival is a Python module for survival analysis built on top of scikit-learn. It allows doing survival analysis while utilizing the power of scikit-learn, e.g., for pre-processing or doing cross-validation.

#### Federated Learning * Flower - A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. * PySyft - A Python library for secure and private Deep Learning. * Tensorflow-Federated A federated learning framework for machine learning and other computations on decentralized data.

#### Kaggle Competition Source Code * open-solution-home-credit -> source code and experiments results for Home Credit Default Risk. * open-solution-googleai-object-detection -> source code and experiments results for Google AI Open Images - Object Detection Track. * open-solution-salt-identification -> source code and experiments results for TGS Salt Identification Challenge. * open-solution-ship-detection -> source code and experiments results for Airbus Ship Detection Challenge. * open-solution-data-science-bowl-2018 -> source code and experiments results for 2018 Data Science Bowl. * open-solution-value-prediction -> source code and experiments results for Santander Value Prediction Challenge. * open-solution-toxic-comments -> source code for Toxic Comment Classification Challenge. * wiki challenge - An implementation of Dell Zhang’s solution to Wikipedia’s Participation Challenge on Kaggle. * kaggle insults - Kaggle Submission for “Detecting Insults in Social Commentary”. * kaggle_acquire-valued-shoppers-challenge - Code for the Kaggle acquire valued shoppers challenge. * kaggle-cifar - Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet. * kaggle-blackbox - Deep learning made easy. * kaggle-accelerometer - Code for Accelerometer Biometric Competition at Kaggle. * kaggle-advertised-salaries - Predicting job salaries from ads - a Kaggle competition. * kaggle amazon - Amazon access control challenge. * kaggle-bestbuy_big - Code for the Best Buy competition at Kaggle. * kaggle-bestbuy_small * Kaggle Dogs vs. Cats - Code for Kaggle Dogs vs. Cats competition. * Kaggle Galaxy Challenge - Winning solution for the Galaxy Challenge on Kaggle. * Kaggle Gender - A Kaggle competition: discriminate gender based on handwriting. * Kaggle Merck - Merck challenge at Kaggle. * Kaggle Stackoverflow - Predicting closed questions on Stack Overflow. * kaggle_acquire-valued-shoppers-challenge - Code for the Kaggle acquire valued shoppers challenge. * wine-quality - Predicting wine quality.

#### Reinforcement Learning * DeepMind Lab - DeepMind Lab is a 3D learning environment based on id Software’s Quake III Arena via ioquake3 and other open source software. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning. * Gymnasium - A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym). * Serpent.AI - Serpent.AI is a game agent framework that allows you to turn any video game you own into a sandbox to develop AI and machine learning experiments. For both researchers and hobbyists. * ViZDoom - ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular. * Roboschool - Open-source software for robot simulation, integrated with OpenAI Gym. * Retro - Retro Games in Gym * SLM Lab - Modular Deep Reinforcement Learning framework in PyTorch. * Coach - Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms * garage - A toolkit for reproducible reinforcement learning research * metaworld - An open source robotics benchmark for meta- and multi-task reinforcement learning * acme - An Open Source Distributed Framework for Reinforcement Learning that makes build and train your agents easily. * Spinning Up - An educational resource designed to let anyone learn to become a skilled practitioner in deep reinforcement learning * Maze - Application-oriented deep reinforcement learning framework addressing real-world decision problems. * RLlib - RLlib is an industry level, highly scalable RL library for tf and torch, based on Ray. It’s used by companies like Amazon and Microsoft to solve real-world decision making problems at scale. * DI-engine - DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems.

## Ruby

#### Natural Language Processing

Awesome NLP with Ruby - Curated link list for practical natural language processing in Ruby.
Treat - Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
Stemmer - Expose libstemmer_c to Ruby. [Deprecated]
Raspell - raspell is an interface binding for ruby. [Deprecated]
UEA Stemmer - Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.
Twitter-text-rb - A library that does auto linking and extraction of usernames, lists and hashtags in tweets.

#### General-Purpose Machine Learning

Awesome Machine Learning with Ruby - Curated list of ML related resources for Ruby.
Ruby Machine Learning - Some Machine Learning algorithms, implemented in Ruby. [Deprecated]
Machine Learning Ruby [Deprecated]
jRuby Mahout - JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby. [Deprecated]
CardMagic-Classifier - A general classifier module to allow Bayesian and other types of classifications.
rb-libsvm - Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
Scoruby - Creates Random Forest classifiers from PMML files.
rumale - Rumale is a machine learning library in Ruby

#### Data Analysis / Data Visualization

rsruby - Ruby - R bridge.
data-visualization-ruby - Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby. [Deprecated]
ruby-plot - gnuplot wrapper for Ruby, especially for plotting ROC curves into SVG files. [Deprecated]
plot-rb - A plotting library in Ruby built on top of Vega and D3. [Deprecated]
scruffy - A beautiful graphing toolkit for Ruby.
SciRuby
Glean - A data management tool for humans. [Deprecated]
Bioruby
Arel [Deprecated]

#### Misc

Big Data For Chimps
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash. Demo/Search for a list

## Rust

#### General-Purpose Machine Learning * smartcore - “The Most Advanced Machine Learning Library In Rust.” * linfa - a comprehensive toolkit to build Machine Learning applications with Rust * deeplearn-rs - deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license. * rustlearn - a machine learning framework featuring logistic regression, support vector machines, decision trees and random forests. * rusty-machine - a pure-rust machine learning library. * leaf - open source framework for machine intelligence, sharing concepts from TensorFlow and Caffe. Available under the MIT license. [Deprecated] * RustNN - RustNN is a feedforward neural network library. [Deprecated] * RusticSOM - A Rust library for Self Organising Maps (SOM). * candle - Candle is a minimalist ML framework for Rust with a focus on performance (including GPU support) and ease of use. * linfa - linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust

Deep Learning

tch-rs - Rust bindings for the C++ API of PyTorch
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals

Natural Language Processing

huggingface/tokenizers - Fast State-of-the-Art Tokenizers optimized for Research and Production
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,…)

## R

#### General-Purpose Machine Learning

ahaz - ahaz: Regularization for semiparametric additive hazards regression. [Deprecated]
arules - arules: Mining Association Rules and Frequent Itemsets
biglasso - biglasso: Extending Lasso Model Fitting to Big Data in R.
bmrm - bmrm: Bundle Methods for Regularized Risk Minimization Package.
Boruta - Boruta: A wrapper algorithm for all-relevant feature selection.
bst - bst: Gradient Boosting.
C50 - C50: C5.0 Decision Trees and Rule-Based Models.
caret - Classification and Regression Training: Unified interface to ~150 ML algorithms in R.
caretEnsemble - caretEnsemble: Framework for fitting multiple caret models as well as creating ensembles of such models. [Deprecated]
CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R.
Clever Algorithms For Machine Learning
CORElearn - CORElearn: Classification, regression, feature evaluation and ordinal evaluation. -* CoxBoost - CoxBoost: Cox models by likelihood based boosting for a single survival endpoint or competing risks [Deprecated]
Cubist - Cubist: Rule- and Instance-Based Regression Modelling.
e1071 - e1071: Misc Functions of the Department of Statistics (e1071), TU Wien
earth - earth: Multivariate Adaptive Regression Spline Models
elasticnet - elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA.
ElemStatLearn - ElemStatLearn: Data sets, functions and examples from the book: “The Elements of Statistical Learning, Data Mining, Inference, and Prediction” by Trevor Hastie, Robert Tibshirani and Jerome Friedman Prediction” by Trevor Hastie, Robert Tibshirani and Jerome Friedman.
evtree - evtree: Evolutionary Learning of Globally Optimal Trees.
forecast - forecast: Timeseries forecasting using ARIMA, ETS, STLM, TBATS, and neural network models.
forecastHybrid - forecastHybrid: Automatic ensemble and cross validation of ARIMA, ETS, STLM, TBATS, and neural network models from the “forecast” package.
fpc - fpc: Flexible procedures for clustering.
frbs - frbs: Fuzzy Rule-based Systems for Classification and Regression Tasks. [Deprecated]
GAMBoost - GAMBoost: Generalized linear and additive models by likelihood based boosting. [Deprecated]
gamboostLSS - gamboostLSS: Boosting Methods for GAMLSS.
gbm - gbm: Generalized Boosted Regression Models.
glmnet - glmnet: Lasso and elastic-net regularized generalized linear models.
glmpath - glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model.
GMMBoost - GMMBoost: Likelihood-based Boosting for Generalized mixed models. [Deprecated]
grplasso - grplasso: Fitting user specified models with Group Lasso penalty.
grpreg - grpreg: Regularization paths for regression models with grouped covariates.
h2o - A framework for fast, parallel, and distributed machine learning algorithms at scale – Deeplearning, Random forests, GBM, KMeans, PCA, GLM.
hda - hda: Heteroscedastic Discriminant Analysis. [Deprecated]
Introduction to Statistical Learning
ipred - ipred: Improved Predictors.
kernlab - kernlab: Kernel-based Machine Learning Lab.
klaR - klaR: Classification and visualization.
L0Learn - L0Learn: Fast algorithms for best subset selection.
lars - lars: Least Angle Regression, Lasso and Forward Stagewise. [Deprecated]
lasso2 - lasso2: L1 constrained estimation aka ‘lasso’.
LiblineaR - LiblineaR: Linear Predictive Models Based On The Liblinear C/C++ Library.
LogicReg - LogicReg: Logic Regression.
Machine Learning For Hackers
maptree - maptree: Mapping, pruning, and graphing tree models. [Deprecated]
mboost - mboost: Model-Based Boosting.
medley - medley: Blending regression models, using a greedy stepwise approach.
mlr - mlr: Machine Learning in R.
ncvreg - ncvreg: Regularization paths for SCAD- and MCP-penalized regression models.
nnet - nnet: Feed-forward Neural Networks and Multinomial Log-Linear Models. [Deprecated]
pamr - pamr: Pam: prediction analysis for microarrays. [Deprecated]
party - party: A Laboratory for Recursive Partitioning
partykit - partykit: A Toolkit for Recursive Partitioning.
penalized - penalized: L1 (lasso and fused lasso) and L2 (ridge) penalized estimation in GLMs and in the Cox model.
penalizedLDA - penalizedLDA: Penalized classification using Fisher’s linear discriminant. [Deprecated]
penalizedSVM - penalizedSVM: Feature Selection SVM using penalty functions.
quantregForest - quantregForest: Quantile Regression Forests.
randomForest - randomForest: Breiman and Cutler’s random forests for classification and regression.
randomForestSRC - randomForestSRC: Random Forests for Survival, Regression and Classification (RF-SRC).
rattle - rattle: Graphical user interface for data mining in R.
rda - rda: Shrunken Centroids Regularized Discriminant Analysis.
rdetools - rdetools: Relevant Dimension Estimation (RDE) in Feature Spaces. [Deprecated]
REEMtree - REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data. [Deprecated]
relaxo - relaxo: Relaxed Lasso. [Deprecated]
rgenoud - rgenoud: R version of GENetic Optimization Using Derivatives
Rmalschains - Rmalschains: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R.
rminer - rminer: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression. [Deprecated]
ROCR - ROCR: Visualizing the performance of scoring classifiers. [Deprecated]
RoughSets - RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories. [Deprecated]
rpart - rpart: Recursive Partitioning and Regression Trees.
RPMM - RPMM: Recursively Partitioned Mixture Model.
RSNNS - RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS).
RWeka - RWeka: R/Weka interface.
RXshrink - RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression.
sda - sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection. [Deprecated]
spectralGraphTopology - spectralGraphTopology: Learning Graphs from Data via Spectral Constraints.
SuperLearner - Multi-algorithm ensemble learning packages.
svmpath - svmpath: svmpath: the SVM Path algorithm. [Deprecated]
tgp - tgp: Bayesian treed Gaussian process models. [Deprecated]
tree - tree: Classification and regression trees.
varSelRF - varSelRF: Variable selection using random forests.
XGBoost.R - R binding for eXtreme Gradient Boosting (Tree) Library.
Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly to R.
igraph - binding to igraph library - General purpose graph library.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
TDSP-Utilities - Two data science utilities in R from Microsoft: 1) Interactive Data Exploration, Analysis, and Reporting (IDEAR) ; 2) Automated Modelling and Reporting (AMR).

#### Data Manipulation | Data Analysis | Data Visualization

dplyr - A data manipulation package that helps to solve the most common data manipulation problems.
ggplot2 - A data visualization package based on the grammar of graphics.
tmap for visualizing geospatial data with static maps and leaflet for interactive maps
tm and quanteda are the main packages for managing, analyzing, and visualizing textual data.
shiny is the basis for truly interactive displays and dashboards in R. However, some measure of interactivity can be achieved with htmlwidgets bringing javascript libraries to R. These include, plotly, dygraphs, highcharter, and several others.

## SAS

#### General-Purpose Machine Learning

Visual Data Mining and Machine Learning - Interactive, automated, and programmatic modelling with the latest machine learning algorithms in and end-to-end analytics environment, from data prep to deployment. Free trial available.
Enterprise Miner - Data mining and machine learning that creates deployable models using a GUI or code.
Factory Miner - Automatically creates deployable machine learning models across numerous market or customer segments using a GUI.

#### Data Analysis / Data Visualization

SAS/STAT - For conducting advanced statistical analysis.
University Edition - FREE! Includes all SAS packages necessary for data analysis and visualization, and includes online SAS courses.

#### Natural Language Processing

Contextual Analysis - Add structure to unstructured text using a GUI.
Sentiment Analysis - Extract sentiment from text using a GUI.
Text Miner - Text mining using a GUI or code.

#### Demos and Scripts

ML_Tables - Concise cheat sheets containing machine learning best practices.
enlighten-apply - Example code and materials that illustrate applications of SAS machine learning techniques.
enlighten-integration - Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R.
enlighten-deep - Example code and materials that illustrate using neural networks with several hidden layers in SAS.
dm-flow - Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

## Scala

#### Natural Language Processing

ScalaNLP - ScalaNLP is a suite of machine learning and numerical computing libraries.
Breeze - Breeze is a numerical processing library for Scala.
Chalk - Chalk is a natural language processing library. [Deprecated]
FACTORIE - FACTORIE is a toolkit for deployable probabilistic modelling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
Montague - Montague is a semantic parsing library for Scala with an easy-to-use DSL.
Spark NLP - Natural language processing library built on top of Apache Spark ML to provide simple, performant, and accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.

#### Data Analysis / Data Visualization

NDScala - N-dimensional arrays in Scala 3. Think NumPy ndarray, but with compile-time type-checking/inference over shapes, tensor/axis labels & numeric data types
MLlib in Apache Spark - Distributed machine learning library in Spark
Hydrosphere Mist - a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
Scalding - A Scala API for Cascading.
Summing Bird - Streaming MapReduce with Scalding and Storm.
Algebird - Abstract Algebra for Scala.
xerial - Data management utilities for Scala. [Deprecated]
PredictionIO - PredictionIO, a machine learning server for software developers and data engineers.
BIDMat - CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
Flink - Open source platform for distributed stream and batch data processing.
Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.

#### General-Purpose Machine Learning

Microsoft ML for Apache Spark -> A distributed machine learning framework Apache Spark
ONNX-Scala - An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
DeepLearning.scala - Creating statically typed dynamic neural networks from object-oriented & functional programming constructs.
Conjecture - Scalable Machine Learning in Scalding.
brushfire - Distributed decision tree ensemble learning in Scala.
ganitha - Scalding powered machine learning. [Deprecated]
adam - A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
bioscala - Bioinformatics for the Scala programming language
BIDMach - CPU and GPU-accelerated Machine Learning Library.
Figaro - a Scala library for constructing probabilistic models.
H2O Sparkling Water - H2O and Spark interoperability.
FlinkML in Apache Flink - Distributed machine learning library in Flink.
DynaML - Scala Library/REPL for Machine Learning Research.
Saul - Flexible Declarative Learning-Based Programming.
SwiftLearner - Simply written algorithms to help study ML or write your own implementations.
Smile - Statistical Machine Intelligence and Learning Engine.
doddle-model - An in-memory machine learning library built on top of Breeze. It provides immutable objects and exposes its functionality through a scikit-learn-like API.
TensorFlow Scala - Strongly-typed Scala API for TensorFlow.

## Scheme

#### Neural Networks

layer - Neural network inference from the command line, implemented in CHICKEN Scheme.

## Swift

#### General-Purpose Machine Learning

Bender - Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
Swift AI - Highly optimized artificial intelligence and machine learning library written in Swift.
Swift for Tensorflow - a next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond.
BrainCore - The iOS and OS X neural network framework.
swix - A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development. [Deprecated]
AIToolbox - A toolbox framework of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
MLKit - A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
Swift Brain - The first neural network / machine learning library written in Swift. This is a project for AI algorithms in Swift for iOS and OS X development. This project includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices, etc…
Perfect TensorFlow - Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
PredictionBuilder - A library for machine learning that builds predictions using a linear regression.
Awesome CoreML - A curated list of pretrained CoreML models.
Awesome Core ML Models - A curated list of machine learning models in CoreML format.

## TensorFlow

#### General-Purpose Machine Learning * Awesome Keras - A curated list of awesome Keras projects, libraries and resources. * Awesome TensorFlow - A list of all things related to TensorFlow. * Golden TensorFlow - A page of content on TensorFlow, including academic papers and links to related topics.

## Tools

#### Neural Networks * layer - Neural network inference from the command line

#### Misc

Wallaroo.AI - Production AI plaftorm for deploying, managing, and observing any model at scale across any envirorment from cloud to edge. Let’s you go from python notebook to inferencing in minutes.
Infinity - The AI-native database built for LLM applications, providing incredibly fast vector and full-text search. Developed using C++20
Synthical - AI-powered collaborative research environment. You can use it to get recommendations of articles based on reading history, simplify papers, find out what articles are trending, search articles by meaning (not just keywords), create and share folders of articles, see lists of articles from specific companies and universities, and add highlights.
Humanloop – Humanloop is a platform for prompt experimentation, finetuning models for better performance, cost optimization, and collecting model generated data and user feedback.
Qdrant – Qdrant is open source vector similarity search engine with extended filtering support, written in Rust.
milvus – Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
Weaviate – Weaviate is an open source vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale.
txtai - Build semantic search applications and workflows.
MLReef - MLReef is an end-to-end development platform using the power of git to give structure and deep collaboration possibilities to the ML development process.
Chroma - Chroma - the AI-native open-source embedding database
Pinecone - Vector database for applications that require real-time, scalable vector embedding and similarity search.
CatalyzeX - Browser extension (Chrome and Firefox) that automatically finds and shows code implementations for machine learning papers anywhere: Google, Twitter, Arxiv, Scholar, etc.
ML Workspace - All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
Notebooks - A starter kit for Jupyter notebooks and machine learning. Companion docker images consist of all combinations of python versions, machine learning frameworks (Keras, PyTorch and Tensorflow) and CPU/CUDA versions.
DVC - Data Science Version Control is an open-source version control system for machine learning projects with pipelines support. It makes ML projects reproducible and shareable.
DVClive - Python library for experiment metrics logging into simply formatted local files.
VDP - open source visual data ETL to streamline the end-to-end visual data processing pipeline: extract unstructured visual data from pre-built data sources, transform it into analysable structured insights by Vision AI models imported from various ML platforms, and load the insights into warehouses or applications.
Kedro - Kedro is a data and development workflow framework that implements best practices for data pipelines with an eye towards productionizing machine learning models.
guild.ai - Tool to log, analyze, compare and “optimize” experiments. It’s cross-platform and framework independent, and provided integrated visualizers such as tensorboard.
Sacred - Python tool to help you configure, organize, log and reproduce experiments. Like a notebook lab in the context of Chemistry/Biology. The community has built multiple add-ons leveraging the proposed standard.
Comet - ML platform for tracking experiments, hyper-parameters, artifacts and more. It’s deeply integrated with over 15+ deep learning frameworks and orchestration tools. Users can also use the platform to monitor their models in production.
MLFlow - platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. Framework and language agnostic, take a look at all the built-in integrations.
Weights & Biases - Machine learning experiment tracking, dataset versioning, hyperparameter search, visualization, and collaboration
More tools to improve the ML lifecycle: Catalyst, PachydermIO. The following are GitHub-alike and targeting teams Weights & Biases, Neptune.ai, Comet.ml, Valohai.ai, DAGsHub.
Arize AI - Model validaiton and performance monitoring, drift detection, explainability, visualization across structured and unstructured data
MachineLearningWithTensorFlow2ed - a book on general purpose machine learning techniques regression, classification, unsupervised clustering, reinforcement learning, auto encoders, convolutional neural networks, RNNs, LSTMs, using TensorFlow 1.14.1.
m2cgen - A tool that allows the conversion of ML models into native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart) with zero dependencies.
CML - A library for doing continuous integration with ML projects. Use GitHub Actions & GitLab CI to train and evaluate models in production like environments and automatically generate visual reports with metrics and graphs in pull/merge requests. Framework & language agnostic.
Pythonizr - An online tool to generate boilerplate machine learning code that uses scikit-learn.
Flyte - Flyte makes it easy to create concurrent, scalable, and maintainable workflows for machine learning and data processing.
Chaos Genius - ML powered analytics engine for outlier/anomaly detection and root cause analysis.
MLEM - Version and deploy your ML models following GitOps principles
DockerDL - Ready to use deeplearning docker images.
Aqueduct - Aqueduct enables you to easily define, run, and manage AI & ML tasks on any cloud infrastructure.
Ambrosia - Ambrosia helps you clean up your LLM datasets using other LLMs.

## Books

Distributed Machine Learning Patterns - This book teaches you how to take machine learning models from your personal laptop to large distributed clusters. You’ll explore key concepts and patterns behind successful distributed machine learning systems, and learn technologies like TensorFlow, Kubernetes, Kubeflow, and Argo Workflows directly from a key maintainer and contributor, with real-world scenarios and hands-on projects.
Grokking Machine Learning - Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math.
Machine Learning Bookcamp - Learn the essentials of machine learning by completing a carefully designed set of real-world projects.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

* Netron - An opensource viewer for neural network, deep learning and machine learning models * Teachable Machine - Train Machine Learning models on the fly to recognize your own images, sounds, & poses. * Model Zoo - Discover open source deep learning code and pretrained models.

Credits

Some of the python libraries were cut-and-pasted from vinta
References for Go were mostly cut-and-pasted from gopherdata

Awesome Machine Learning

A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.

If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should be deprecated if:

Repository’s owner explicitly says that “this library is not maintained”.
Not committed for a long time (2~3 years).

Further resources:

For a list of free machine learning books available for download, go here.
For a list of professional machine learning events, go here.
For a list of (mostly) free machine learning courses available online, go here.
For a list of blogs and newsletters on data science and machine learning, go here.
For a list of free-to-attend meetups and local events, go here.

Frameworks and Libraries

Awesome Machine Learning

Tools

Neural Networks
Misc

Credits

## APL

#### General-Purpose Machine Learning * naive-apl - Naive Bayesian Classifier implementation in APL. [Deprecated]

## C

#### Computer Vision

CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
VLFeat - VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox.

## C++

#### Computer Vision

DLib - DLib has C++ and Python interfaces for face detection and training general object detectors.
EBLearn - Eblearn is an object-oriented C++ library that implements various machine learning models [Deprecated]
OpenCV - OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
VIGRA - VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.
Openpose - A real-time multi-person keypoint detection library for body, face, hands, and foot estimation

#### General-Purpose Machine Learning

Speedster -Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware. DEEP LEARNING
BanditLib - A simple Multi-armed Bandit library. [Deprecated]
Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind. DEEP LEARNING
CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.
CNTK - The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.
CUDA - This is a fast C++/CUDA implementation of convolutional DEEP LEARNING
DeepDetect - A machine learning API and server written in C++11. It makes state of the art machine learning easy to work with and integrate into existing applications.
Distributed Machine learning Tool Kit (DMTK) - A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding.
DLib - A suite of ML tools designed to be easy to imbed in other applications.
DSSTNE - A software library created by Amazon for training and deploying deep neural networks using GPUs which emphasizes speed and scale over experimental flexibility.
DyNet - A dynamic neural network library working well with networks that have dynamic structures that change for every training instance. Written in C++ with bindings in Python.
Fido - A highly-modular C++ machine learning library for embedded electronics and robotics.
igraph - General purpose graph library.
Intel® oneAPI Data Analytics Library - A high performance software library developed by Intel and optimized for Intel’s architectures. Library provides algorithmic building blocks for all stages of data analytics and allows to process data in batch, online and distributed modes.
LightGBM - Microsoft’s fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
libfm - A generic approach that allows to mimic most factorization models by feature engineering.
MLDB - The Machine Learning Database is a database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs.
mlpack - A scalable C++ machine learning library.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
N2D2 - CEA-List’s CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms
oneDNN - An open-source cross-platform performance library for deep learning applications.
ParaMonte - A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.
proNet-core - A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
PyCaret - An open-source, low-code machine learning library in Python that automates machine learning workflows.
PyCUDA - Python interface to CUDA
ROOT - A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage.
shark - A fast, modular, feature-rich open-source C++ machine learning library.
Shogun - The Shogun Machine Learning Toolbox.
sofia-ml - Suite of fast incremental algorithms.
Stan - A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling.
Timbl - A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP.
Vowpal Wabbit (VW) - A fast out-of-core learning system.
Warp-CTC - A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.
XGBoost - A parallelized optimized general purpose gradient boosting library.
ThunderGBM - A fast library for GBDTs and Random Forests on GPUs.
ThunderSVM - A fast SVM library on GPUs and CPUs.
LKYDeepNN - A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
xLearn - A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online advertising and recommender systems.
Featuretools - A library for automated feature engineering. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering “primitives”.
skynet - A library for learning neural networks, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#.
Feast - A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.
Hopsworks - A data-intensive platform for AI with the industry’s first open-source feature store. The Hopsworks Feature Store provides both a feature warehouse for training and batch based on Apache Hive and a feature serving database, based on MySQL Cluster, for online applications.
Polyaxon - A platform for reproducible and scalable machine learning and deep learning.
QuestDB - A relational column-oriented database designed for real-time analytics on time series and event data.
Phoenix - Uncover insights, surface problems, monitor and fine tune your generative LLM, CV and tabular models.
XAD - Comprehensive backpropagation tool for C++.
Truss - An open source framework for packaging and serving ML models.

#### Natural Language Processing

BLLIP Parser - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser).
colibri-core - C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
CRF++ - Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks. [Deprecated]
CRFsuite - CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. [Deprecated]
frog - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
libfolia - C++ library for the FoLiA format
MeTA - MeTA : ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
MIT Information Extraction Toolkit - C, C++, and Python tools for named entity recognition and relation extraction
ucto - Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.

#### Speech Recognition * Kaldi - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.

#### Sequence Analysis * ToPS - This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet. [Deprecated]

#### Gesture Detection * grt - The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.

## Common Lisp

#### General-Purpose Machine Learning

mgl - Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
mgl-gpr - Evolutionary algorithms. [Deprecated]
cl-libsvm - Wrapper for the libsvm support vector machine library. [Deprecated]
cl-online-learning - Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
cl-random-forest - Implementation of Random Forest in Common Lisp.

## Clojure

#### Natural Language Processing

Clojure-openNLP - Natural Language Processing in Clojure (opennlp).
Infections-clj - Rails-like inflection library for Clojure and ClojureScript.

#### General-Purpose Machine Learning

scicloj.ml - A idiomatic Clojure machine learning library based on tech.ml.dataset with a unique approach for immutable data processing pipelines.
clj-ml - A machine learning library for Clojure built on top of Weka and friends.
clj-boost - Wrapper for XGBoost
Touchstone - Clojure A/B testing library.
Clojush - The Push programming language and the PushGP genetic programming system implemented in Clojure.
lambda-ml - Simple, concise implementations of machine learning techniques and utilities in Clojure.
Infer - Inference and machine learning in Clojure. [Deprecated]
Encog - Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets). [Deprecated]
Fungp - A genetic programming library for Clojure. [Deprecated]
Statistiker - Basic Machine Learning algorithms in Clojure. [Deprecated]
clortex - General Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]
comportex - Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]

#### Interop

Java Interop - Clojure has Native Java Interop from which Java’s ML ecosystem can be accessed
JavaScript Interop - ClojureScript has Native JavaScript Interop from which JavaScript’s ML ecosystem can be accessed
Libpython-clj - Interop with Python
ClojisR - Interop with R and Renjin (R on the JVM)

#### Extra * Scicloj - Curated list of ML related resources for Clojure.

## Crystal

#### General-Purpose Machine Learning

machine - Simple machine learning algorithm.
crystal-fann - FANN (Fast Artificial Neural Network) binding.

## Elixir

#### General-Purpose Machine Learning

Simple Bayes - A Simple Bayes / Naive Bayes implementation in Elixir.
emel - A simple and functional machine learning library written in Elixir.
Tensorflex - Tensorflow bindings for the Elixir programming language.

#### Natural Language Processing

Stemmer - An English (Porter2) stemming implementation in Elixir.

## Erlang

#### General-Purpose Machine Learning

Disco - Map Reduce in Erlang. [Deprecated]

## Fortran

#### General-Purpose Machine Learning

neural-fortran - A parallel neural net microframework. Read the paper here.

#### Data Analysis / Data Visualization

ParaMonte - A general-purpose Fortran library for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.

## Go

#### Natural Language Processing

Cybertron - Cybertron: the home planet of the Transformers in Go.
snowball - Snowball Stemmer for Go.
word-embedding - Word Embeddings: the full implementation of word2vec, GloVe in Go.
sentences - Golang implementation of Punkt sentence tokenizer.
go-ngram - In-memory n-gram index with compression. [Deprecated]
paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm. [Deprecated]
go-porterstemmer - A native Go clean room implementation of the Porter Stemming algorithm. [Deprecated]

#### General-Purpose Machine Learning

Spago - Self-contained Machine Learning and Natural Language Processing library in Go.
birdland - A recommendation library in Go.
eaopt - An evolutionary optimization library.
leaves - A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
gobrain - Neural Networks written in Go.
go-featureprocessing - Fast and convenient feature processing for low latency machine learning in Go.
go-mxnet-predictor - Go binding for MXNet c_predict_api to do inference with a pre-trained model.
go-ml-benchmarks — benchmarks of machine learning inference for Go.
go-ml-transpiler - An open source Go transpiler for machine learning models.
golearn - Machine learning for Go.
goml - Machine learning library written in pure Go.
gorgonia - Deep learning in Go.
goro - A high-level machine learning library in the vein of Keras.
gorse - An offline recommender system backend based on collaborative filtering written in Go.
therfoo - An embedded deep learning library for Go.
neat - Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT). [Deprecated]
go-pr - Pattern recognition package in Go lang. [Deprecated]
go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. [Deprecated]
GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. [Deprecated]
bayesian - Naive Bayesian Classification for Golang. [Deprecated]
go-galib - Genetic Algorithms library written in Go / Golang. [Deprecated]
Cloudforest - Ensembles of decision trees in Go/Golang. [Deprecated]
go-dnn - Deep Neural Networks for Golang (powered by MXNet)

#### Spatial analysis and geometry

go-geom - Go library to handle geometries.
gogeo - Spherical geometry in Go.

#### Data Analysis / Data Visualization

dataframe-go - Dataframes for machine-learning and statistics (similar to pandas).
gota - Dataframes.
gonum/mat - A linear algebra package for Go.
gonum/optimize - Implementations of optimization algorithms.
gonum/plot - A plotting library.
gonum/stat - A statistics library.
SVGo - The Go Language library for SVG generation.
glot - Glot is a plotting library for Golang built on top of gnuplot.
globe - Globe wireframe visualization.
gonum/graph - General-purpose graph library.
go-graph - Graph library for Go/Golang language. [Deprecated]
RF - Random forests implementation in Go. [Deprecated]

#### Computer vision

GoCV - Package for computer vision using OpenCV 4 and beyond.

#### Reinforcement learning

gold - A reinforcement learning library.
stable-baselines3 - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.

## Haskell

## Java

#### General-Purpose Machine Learning

aerosolve - A machine learning library by Airbnb designed from the ground up to be human friendly.
AMIDST Toolbox - A Java Toolbox for Scalable Probabilistic Machine Learning.
Chips-n-Salsa - A Java library for genetic algorithms, evolutionary computation, and stochastic local search, with a focus on self-adaptation / self-tuning, as well as parallel execution.
Datumbox - Machine Learning framework for rapid development of Machine Learning and Statistical applications.
ELKI - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)
Encog - An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trainings using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.
FlinkML in Apache Flink - Distributed machine learning library in Flink.
H2O - ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
htm.java - General Machine Learning library using Numenta’s Cortical Learning Algorithm.
liblinear-java - Java version of liblinear.
Mahout - Distributed machine learning.
Meka - An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
MLlib in Apache Spark - Distributed machine learning library in Spark.
Hydrosphere Mist - a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
Neuroph - Neuroph is lightweight Java neural network framework.
ORYX - Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Samoa SAMOA is a framework that includes distributed machine learning for data streams with an interface to plug-in different stream processing platforms.
RankLib - RankLib is a library of learning to rank algorithms. [Deprecated]
rapaio - statistics, data mining and machine learning toolbox in Java.
RapidMiner - RapidMiner integration into Java code.
Stanford Classifier - A classifier is a machine learning tool that will take data items and place them into one of k classes.
Smile - Statistical Machine Intelligence & Learning Engine.
SystemML - flexible, scalable machine learning (ML) language.
Tribou - A machine learning library written in Java by Oracle.
Weka - Weka is a collection of machine learning algorithms for data mining tasks.
LBJava - Learning Based Java is a modelling language for the rapid development of software systems, offers a convenient, declarative syntax for classifier and constraint definition directly in terms of the objects in the programmer’s application.
knn-java-library - Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.

#### Speech Recognition * CMU Sphinx - Open Source Toolkit For Speech Recognition purely based on Java speech recognition library.

#### Data Analysis / Data Visualization

Flink - Open source platform for distributed stream and batch data processing.
Hadoop - Hadoop/HDFS.
Onyx - Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
Spark - Spark is a fast and general engine for large-scale data processing.
Storm - Storm is a distributed realtime computation system.
Impala - Real-time Query for Hadoop.
DataMelt - Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization.
Dr. Michael Thomas Flanagan’s Java Scientific Library. [Deprecated]

#### Deep Learning

Deeplearning4j - Scalable deep learning for industry with parallel GPUs.
Keras Beginner Tutorial - Friendly guide on using Keras to implement a simple Neural Network in Python.
deepjavalibrary/djl - Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning, designed to be easy to get started with and simple to use for Java developers.

## JavaScript

#### Natural Language Processing

Twitter-text - A JavaScript implementation of Twitter’s text processing library.
natural - General natural language facilities for node.
Knwl.js - A Natural Language Processor in JS.
Retext - Extensible system for analyzing and manipulating natural language.
NLP Compromise - Natural Language processing in the browser.
nlp.js - An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.

#### Data Analysis / Data Visualization

D3.js
High Charts
NVD3.js
dc.js
chartjs
dimple
amCharts
D3xter - Straight forward plotting built on D3. [Deprecated]
statkit - Statistics kit for JavaScript. [Deprecated]
datakit - A lightweight framework for data analysis in JavaScript
science.js - Scientific and statistical computing in JavaScript. [Deprecated]
Z3d - Easily make interactive 3d plots built on Three.js [Deprecated]
Sigma.js - JavaScript library dedicated to graph drawing.
C3.js - customizable library based on D3.js for easy chart drawing.
Datamaps - Customizable SVG map/geo visualizations using D3.js. [Deprecated]
ZingChart - library written on Vanilla JS for big data visualization.
cheminfo - Platform for data visualization and analysis, using the visualizer project.
Learn JS Data
AnyChart
FusionCharts
Nivo - built on top of the awesome d3 and Reactjs libraries

#### General-Purpose Machine Learning

Auto ML - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! [Deprecated]
Convnet.js - ConvNetJS is a JavaScript library for training Deep Learning modelsDEEP LEARNING [Deprecated]
Clusterfck - Agglomerative hierarchical clustering implemented in JavaScript for Node.js and the browser. [Deprecated]
Clustering.js - Clustering algorithms implemented in JavaScript for Node.js and the browser. [Deprecated]
Decision Trees - NodeJS Implementation of Decision Tree using ID3 Algorithm. [Deprecated]
DN2A - Digital Neural Networks Architecture. [Deprecated]
figue - K-means, fuzzy c-means and agglomerative clustering.
Gaussian Mixture Model - Unsupervised machine learning with multivariate Gaussian mixture model.
Node-fann - FANN (Fast Artificial Neural Network Library) bindings for Node.js [Deprecated]
Keras.js - Run Keras models in the browser, with GPU support provided by WebGL 2.
Kmeans.js - Simple JavaScript implementation of the k-means algorithm, for node.js and the browser. [Deprecated]
LDA.js - LDA topic modelling for Node.js
Learning.js - JavaScript implementation of logistic regression/c4.5 decision tree [Deprecated]
machinelearn.js - Machine Learning library for the web, Node.js and developers
mil-tokyo - List of several machine learning libraries.
Node-SVM - Support Vector Machine for Node.js
Brain - Neural networks in JavaScript [Deprecated]
Brain.js - Neural networks in JavaScript - continued community fork of Brain.
Bayesian-Bandit - Bayesian bandit implementation for Node and the browser. [Deprecated]
Synaptic - Architecture-free neural network library for Node.js and the browser.
kNear - JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
NeuralN - C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training. [Deprecated]
kalman - Kalman filter for JavaScript. [Deprecated]
shaman - Node.js library with support for both simple and multiple linear regression. [Deprecated]
ml.js - Machine learning and numerical analysis tools for Node.js and the Browser!
ml5 - Friendly machine learning for the web!
Pavlov.js - Reinforcement learning using Markov Decision Processes.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
TensorFlow.js - A WebGL accelerated, browser based JavaScript library for training and deploying ML models.
JSMLT - Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
xgboost-node - Run XGBoost model and make predictions in Node.js.
Netron - Visualizer for machine learning models.
tensor-js - A deep learning library for the browser, accelerated by WebGL and WebAssembly.
WebDNN - Fast Deep Neural Network JavaScript Framework. WebDNN uses next generation JavaScript API, WebGPU for GPU execution, and WebAssembly for CPU execution.
WebNN - A new web standard that allows web apps and frameworks to accelerate deep neural networks with on-device hardware such as GPUs, CPUs, or purpose-built AI accelerators.

#### Misc

stdlib - A standard library for JavaScript and Node.js, with an emphasis on numeric computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
sylvester - Vector and Matrix math for JavaScript. [Deprecated]
simple-statistics - A JavaScript implementation of descriptive, regression, and inference statistics. Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in Node.js.
regression-js - A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
Lyric - Linear Regression library. [Deprecated]
GreatCircle - Library for calculating great circle distance.
MLPleaseHelp - MLPleaseHelp is a simple ML resource search engine. You can use this search engine right now at https://jgreenemi.github.io/MLPleaseHelp/, provided via GitHub Pages.
Pipcook - A JavaScript application framework for machine learning and its engineering.

## Julia

#### General-Purpose Machine Learning

MachineLearning - Julia Machine Learning library. [Deprecated]
MLBase - A set of functions to support the development of machine learning algorithms.
PGM - A Julia framework for probabilistic graphical models.
DA - Julia package for Regularized Discriminant Analysis.
Regression - Algorithms for regression analysis (e.g. linear regression and logistic regression). [Deprecated]
Local Regression - Local regression, so smooooth!
Naive Bayes - Simple Naive Bayes implementation in Julia. [Deprecated]
Mixed Models - A Julia package for fitting (statistical) mixed-effects models.
Simple MCMC - basic MCMC sampler implemented in Julia. [Deprecated]
Distances - Julia module for Distance evaluation.
Decision Tree - Decision Tree Classifier and Regressor.
Neural - A neural network in Julia.
MCMC - MCMC tools for Julia. [Deprecated]
Mamba - Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
GLM - Generalized linear models in Julia.
Gaussian Processes - Julia package for Gaussian processes.
Online Learning [Deprecated]
GLMNet - Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Clustering - Basic functions for clustering data: k-means, dp-means, etc.
SVM - SVM for Julia. [Deprecated]
Kernel Density - Kernel density estimators for Julia.
MultivariateStats - Methods for dimensionality reduction.
NMF - A Julia package for non-negative matrix factorization.
ANN - Julia artificial neural networks. [Deprecated]
Mocha - Deep Learning framework for Julia inspired by Caffe. [Deprecated]
XGBoost - eXtreme Gradient Boosting Package in Julia.
ManifoldLearning - A Julia package for manifold learning and nonlinear dimensionality reduction.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
Merlin - Flexible Deep Learning Framework in Julia.
ROCAnalysis - Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers.
GaussianMixtures - Large scale Gaussian Mixture Models.
ScikitLearn - Julia implementation of the scikit-learn API.
Knet - Koç University Deep Learning Framework.
Flux - Relax! Flux is the ML library that doesn’t make you tensor
MLJ - A Julia machine learning framework.

#### Natural Language Processing

Topic Models - TopicModels for Julia. [Deprecated]
Text Analysis - Julia package for text analysis.
Word Tokenizers - Tokenizers for Natural Language Processing in Julia
Corpus Loaders - A Julia package providing a variety of loaders for various NLP corpora.
Embeddings - Functions and data dependencies for loading various word embeddings
Languages - Julia package for working with various human languages
WordNet - A Julia package for Princeton’s WordNet

#### Data Analysis / Data Visualization

Graph Layout - Graph layout algorithms in pure Julia.
LightGraphs - Graph modelling and analysis.
Data Frames Meta - Metaprogramming tools for DataFrames.
Julia Data - library for working with tabular data in Julia. [Deprecated]
Data Read - Read files from Stata, SAS, and SPSS.
Hypothesis Tests - Hypothesis tests for Julia.
Gadfly - Crafty statistical graphics for Julia.
Stats - Statistical tests for Julia.
RDataSets - Julia package for loading many of the data sets available in R.
DataFrames - library for working with tabular data in Julia.
Distributions - A Julia package for probability distributions and associated functions.
Data Arrays - Data structures that allow missing values. [Deprecated]
Time Series - Time series toolkit for Julia.
Sampling - Basic sampling algorithms for Julia.

#### Misc Stuff / Presentations

DSP - Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
JuliaCon Presentations - Presentations for JuliaCon.
SignalProcessing - Signal Processing tools for Julia.
Images - An image library for Julia.
DataDeps - Reproducible data setup for reproducible science.

## Kotlin

#### Deep Learning * KotlinDL - Deep learning framework written in Kotlin.

## Lua

#### General-Purpose Machine Learning

Torch7
- cephes - Cephes mathematical functions library, wrapped for Torch. Provides and wraps the 180+ special mathematical functions from the Cephes mathematical library, developed by Stephen L. Moshier. It is used, among many other places, at the heart of SciPy. [Deprecated]
- autograd - Autograd automatically differentiates native Torch code. Inspired by the original Python version.
- graph - Graph package for Torch. [Deprecated]
- randomkit - Numpy’s randomkit, wrapped for Torch. [Deprecated]
- signal - A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stft.
- nn - Neural Network package for Torch.
- torchnet - framework for torch which provides a set of abstractions aiming at encouraging code re-use as well as encouraging modular programming.
- nngraph - This package provides graphical computation for nn library in Torch7.
- nnx - A completely unstable and experimental package that extends Torch’s builtin nn library.
- rnn - A Recurrent Neural Network library that extends Torch’s nn. RNNs, LSTMs, GRUs, BRNNs, BLSTMs, etc.
- dpnn - Many useful features that aren’t part of the main nn package.
- dp - A deep learning library designed for streamlining research and development using the Torch7 distribution. It emphasizes flexibility through the elegant use of object-oriented design patterns. [Deprecated]
- optim - An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
- unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, …), and self-contained algorithms (k-means, PCA). [Deprecated]
- manifold - A package to manipulate manifolds.
- svm - Torch-SVM library. [Deprecated]
- lbfgs - FFI Wrapper for liblbfgs. [Deprecated]
- vowpalwabbit - An old vowpalwabbit interface to torch. [Deprecated]
- OpenGM - OpenGM is a C++ library for graphical modelling, and inference. The Lua bindings provide a simple way of describing graphs, from Lua, and then optimizing them with OpenGM. [Deprecated]
- spaghetti - Spaghetti (sparse linear) module for torch7 by @MichaelMathieu [**Deprecated**]
- LuaSHKit - A Lua wrapper around the Locality sensitive hashing library SHKit [Deprecated]
- kernel smoothing - KNN, kernel-weighted average, local linear regression smoothers. [Deprecated]
- cutorch - Torch CUDA Implementation.
- cunn - Torch CUDA Neural Network Implementation.
- imgraph - An image/graph library for Torch. This package provides routines to construct graphs on images, segment them, build trees out of them, and convert them back to images. [Deprecated]
- videograph - A video/graph library for Torch. This package provides routines to construct graphs on videos, segment them, build trees out of them, and convert them back to videos. [Deprecated]
- saliency - code and tools around integral images. A library for finding interest points based on fast integral histograms. [Deprecated]
- stitch - allows us to use hugin to stitch images and apply same stitching to a video sequence. [Deprecated]
- sfm - A bundle adjustment/structure from motion package. [Deprecated]
- fex - A package for feature extraction in Torch. Provides SIFT and dSIFT modules. [Deprecated]
- OverFeat - A state-of-the-art generic dense feature extractor. [Deprecated]
- wav2letter - a simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research.
Numeric Lua
Lunatic Python
SciLua
Lua - Numerical Algorithms [Deprecated]
Lunum [Deprecated]
Keras GPT Copilot - A python package that integrates an LLM copilot inside the keras model development workflow.

## Matlab

#### Computer Vision

Contourlets - MATLAB source code that implements the contourlet transform and its utility functions.
Shearlets - MATLAB code for shearlet transform.
Curvelets - The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.
Bandlets - MATLAB code for bandlet transform.
mexopencv - Collection and a development kit of MATLAB mex functions for OpenCV library.

#### Natural Language Processing

NLP - A NLP library for Matlab.

#### General-Purpose Machine Learning

Training a deep autoencoder or a classifier on MNIST digits - Training a deep autoencoder or a classifier on MNIST digitsDEEP LEARNING.
Convolutional-Recursive Deep Learning for 3D Object Classification - Convolutional-Recursive Deep Learning for 3D Object ClassificationDEEP LEARNING.
Spider - The spider is intended to be a complete object orientated environment for machine learning in Matlab.
LibSVM - A Library for Support Vector Machines.
ThunderSVM - An Open-Source SVM Library on GPUs and CPUs
LibLinear - A Library for Large Linear Classification.
Machine Learning Module - Class on machine w/ PDF, lectures, code
Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind.
Pattern Recognition Toolbox - A complete object-oriented environment for machine learning in Matlab.
Pattern Recognition and Machine Learning - This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly with MATLAB.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
Machine Learning in MatLab/Octave - Examples of popular machine learning algorithms (neural networks, linear/logistic regressions, K-Means, etc.) with code examples and mathematics behind them being explained.

#### Data Analysis / Data Visualization

ParaMonte - A general-purpose MATLAB library for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.
matlab_bgl - MatlabBGL is a Matlab package for working with graphs.
gaimc - Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL’s mex functions.

## .NET

#### Computer Vision

OpenCVDotNet - A wrapper for the OpenCV project to be used with .NET applications.
Emgu CV - Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
AForge.NET - Open source C# framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence. Development has now shifted to GitHub.
Accord.NET - Together with AForge.NET, this library can provide image processing and computer vision algorithms to Windows, Windows RT and Windows Phone. Some components are also available for Java and Android.

#### Natural Language Processing

Stanford.NLP for .NET - A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.

#### General-Purpose Machine Learning

Accord-Framework -The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications.
Accord.MachineLearning - Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
DiffSharp - An automatic differentiation (AD) library providing exact and efficient derivatives (gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products) for machine learning and optimization applications. Operations can be nested to any level, meaning that you can compute exact higher-order derivatives and differentiate functions that are internally making use of differentiation, for applications such as hyperparameter optimization.
Encog - An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.
GeneticSharp - Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination.
Infer.NET - Infer.NET is a framework for running Bayesian inference in graphical models. One can use Infer.NET to solve many different kinds of machine learning problems, from standard problems like classification, recommendation or clustering through customized solutions to domain-specific problems. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision, and many others.
ML.NET - ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers. ML.NET was originally developed in Microsoft Research and evolved into a significant framework over the last decade and is used across many product groups in Microsoft like Windows, Bing, PowerPoint, Excel and more.
Neural Network Designer - DBMS management system and designer for neural networks. The designer application is developed using WPF, and is a user interface which allows you to design your neural network, query the network, create and configure chat bots that are capable of asking questions and learning from your feedback. The chat bots can even scrape the internet for information to return in their output as well as to use for learning.
Synapses - Neural network library in F#.
Vulpes - Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase.
MxNet.Sharp - .NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

#### Data Analysis / Data Visualization

numl - numl is a machine learning library intended to ease the use of using standard modelling techniques for both prediction and clustering.
Math.NET Numerics - Numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and everyday use. Supports .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5, WindowsPhone/SL 8, WindowsPhone 8.1 and Windows 8 with PCL Portable Profiles 47 and 344; Android/iOS with Xamarin.
Sho - Sho is an interactive environment for data analysis and scientific computing that lets you seamlessly connect scripts (in IronPython) with compiled code (in .NET) to enable fast and flexible prototyping. The environment includes powerful and efficient libraries for linear algebra as well as data visualization that can be used from any .NET language, as well as a feature-rich interactive shell for rapid development.

## Objective C

### General-Purpose Machine Learning

YCML - A Machine Learning framework for Objective-C and Swift (OS X / iOS).
MLPNeuralNet - Fast multilayer perceptron neural network library for iOS and Mac OS X. MLPNeuralNet predicts new examples by trained neural networks. It is built on top of the Apple’s Accelerate Framework, using vectorized operations and hardware acceleration if available. [Deprecated]
MAChineLearning - An Objective-C multilayer perceptron library, with full support for training through backpropagation. Implemented using vDSP and vecLib, it’s 20 times faster than its Java equivalent. Includes sample code for use from Swift.
BPN-NeuralNetwork - It implemented 3 layers of neural networks ( Input Layer, Hidden Layer and Output Layer ) and it was named Back Propagation Neural Networks (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis. [Deprecated]
Multi-Perceptron-NeuralNetwork - It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
KRHebbian-Algorithm - It is a non-supervisory and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. [Deprecated]
KRKmeans-Algorithm - It implemented K-Means clustering and classification algorithm. It could be used in data mining and image compression. [Deprecated]
KRFuzzyCMeans-Algorithm - It implemented Fuzzy C-Means (FCM) the fuzzy clustering / classification algorithm on Machine Learning. It could be used in data mining and image compression. [Deprecated]

## OCaml

### General-Purpose Machine Learning

Oml - A general statistics and machine learning library.
GPR - Efficient Gaussian Process Regression in OCaml.
Libra-Tk - Algorithms for learning and inference with discrete probabilistic models.
TensorFlow - OCaml bindings for TensorFlow.

## OpenCV

### OpenSource-Computer-Vision

OpenCV - A OpenSource Computer Vision Library

## Perl

### Data Analysis / Data Visualization

Perl Data Language, a pluggable architecture for data and image processing, which can be used for machine learning.

### General-Purpose Machine Learning

MXnet for Deep Learning, in Perl, also released in CPAN.
Perl Data Language, using AWS machine learning platform from Perl.
Algorithm::SVMLight, implementation of Support Vector Machines with SVMLight under it. [Deprecated]
Several machine learning and artificial intelligence models are included in the AI namespace. For instance, you can find Naïve Bayes.

## Perl 6

### Data Analysis / Data Visualization

Perl Data Language, a pluggable architecture for data and image processing, which can be used for machine learning.

### General-Purpose Machine Learning

## PHP

### Natural Language Processing

jieba-php - Chinese Words Segmentation Utilities.

### General-Purpose Machine Learning

PHP-ML - Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
PredictionBuilder - A library for machine learning that builds predictions using a linear regression.
Rubix ML - A high-level machine learning (ML) library that lets you build programs that learn from data using the PHP language.
19 Questions - A machine learning / bayesian inference assigning attributes to objects.

## Python

#### Computer Vision

Scikit-Image - A collection of algorithms for image processing in Python.
Scikit-Opt - Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm, Artificial Fish Swarm Algorithm in Python)
SimpleCV - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
Vigranumpy - Python bindings for the VIGRA C++ computer vision library.
OpenFace - Free and open source face recognition with deep neural networks.
PCV - Open source Python module for computer vision. [Deprecated]
face_recognition - Face recognition library that recognizes and manipulates faces from Python or from the command line.
deepface - A lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for Python covering cutting-edge models such as VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, Dlib and ArcFace.
retinaface - deep learning based cutting-edge facial detector for Python coming with facial landmarks
dockerface - Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container. [Deprecated]
Detectron - FAIR’s software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. [Deprecated]
detectron2 - FAIR’s next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.
albumentations - А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops.
pytessarct - Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and “read” the text embedded in images. Python-tesseract is a wrapper for Google’s Tesseract-OCR Engine.
imutils - A library containing Convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
PyTorchCV - A PyTorch-Based Framework for Deep Learning in Computer Vision.
joliGEN - Generative AI Image Toolset with GANs and Diffusion for Real-World Applications.
Self-supervised learning
neural-style-pt - A PyTorch implementation of Justin Johnson’s neural-style (neural style transfer).
Detecto - Train and run a computer vision model with 5-10 lines of code.
neural-dream - A PyTorch implementation of DeepDream.
Openpose - A real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Deep High-Resolution-Net - A PyTorch implementation of CVPR2019 paper “Deep High-Resolution Representation Learning for Human Pose Estimation”
TF-GAN - TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
dream-creator - A PyTorch implementation of DeepDream. Allows individuals to quickly and easily train their own custom GoogleNet models with custom datasets for DeepDream.
Lucent - Tensorflow and OpenAI Clarity’s Lucid adapted for PyTorch.
lightly - Lightly is a computer vision framework for self-supervised learning.
Learnergy - Energy-based machine learning models built upon PyTorch.
OpenVisionAPI - Open source computer vision API based on open source models.
IoT Owl - Light face detection and recognition system with huge possibilities, based on Microsoft Face API and TensorFlow made for small IoT devices like raspberry pi.
Exadel CompreFace - face recognition system that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition and is easily deployed with docker.
computer-vision-in-action - as known as L0CV, is a new generation of computer vision open source online learning media, a cross-platform interactive learning framework integrating graphics, source code and HTML. the L0CV ecosystem — Notebook, Datasets, Source Code, and from Diving-in to Advanced — as well as the L0CV Hub.
timm - PyTorch image models, scripts, pretrained weights – ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more.
segmentation_models.pytorch - A PyTorch-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images.
segmentation_models - A TensorFlow Keras-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images.
MLX- MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.

#### Natural Language Processing

pkuseg-python - A better version of Jieba, developed by Peking University.
NLTK - A leading platform for building Python programs to work with human language data.
Pattern - A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
Quepy - A python framework to transform natural language questions to queries in a database query language.
TextBlob - Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.
YAlign - A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora. [Deprecated]
jieba - Chinese Words Segmentation Utilities.
SnowNLP - A library for processing Chinese text.
spammy - A library for email Spam filtering built on top of NLTK
loso - Another Chinese segmentation library. [Deprecated]
genius - A Chinese segment based on Conditional Random Field.
KoNLPy - A Python package for Korean natural language processing.
nut - Natural language Understanding Toolkit. [Deprecated]
Rosetta - Text processing tools and wrappers (e.g. Vowpal Wabbit)
BLLIP Parser - Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser). [Deprecated]
PyNLPl - Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for FoLiA, but also ARPA language models, Moses phrasetables, GIZA++ alignments.
PySS3 - Python package that implements a novel white-box machine learning model for text classification, called SS3. Since SS3 has the ability to visually explain its rationale, this package also comes with easy-to-use interactive visualizations tools (online demos).
python-ucto - Python binding to ucto (a unicode-aware rule-based tokenizer for various languages).
python-frog - Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)
python-zpar - Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
colibri-core - Python binding to C++ library for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
spaCy - Industrial strength NLP with Python and Cython.
PyStanfordDependencies - Python interface for converting Penn Treebank trees to Stanford Dependencies.
Distance - Levenshtein and Hamming distance computation. [Deprecated]
Fuzzy Wuzzy - Fuzzy String Matching in Python.
Neofuzz - Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.
jellyfish - a python library for doing approximate and phonetic matching of strings.
editdistance - fast implementation of edit distance.
textacy - higher-level NLP built on Spacy.
stanford-corenlp-python - Python wrapper for Stanford CoreNLP [Deprecated]
CLTK - The Classical Language Toolkit.
Rasa - A “machine learning framework to automate text-and voice-based conversations.”
yase - Transcode sentence (or other sequence) to list of word vector .
Polyglot - Multilingual text (NLP) processing toolkit.
DrQA - Reading Wikipedia to answer open-domain questions.
Dedupe - A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
Snips NLU - Natural Language Understanding library for intent classification and entity extraction
NeuroNER - Named-entity recognition using neural networks providing state-of-the-art-results
DeepPavlov - conversational AI library with many pre-trained Russian NLP models.
BigARTM - topic modelling platform.
NALP - A Natural Adversarial Language Processing framework built over Tensorflow.
DL Translate - A deep learning-based translation library between 50 languages, built with transformers.
Haystack - A framework for building industrial-strength applications with Transformer models and LLMs.
CometLLM - Track, log, visualize and evaluate your LLM prompts and prompt chains.
Transformers - A deep learning library containing thousands of pre-trained models on different tasks. The goto place for anything related to Large Language Models.

#### General-Purpose Machine Learning

XAD -> Fast and easy-to-use backpropagation tool.
Aim -> An easy-to-use & supercharged open-source AI metadata tracker.
RexMex -> A general purpose recommender metrics library for fair evaluation.
ChemicalX -> A PyTorch based deep learning library for drug pair scoring
Microsoft ML for Apache Spark -> A distributed machine learning framework Apache Spark
Shapley -> A data-driven framework to quantify the value of classifiers in a machine learning ensemble.
igel -> A delightful machine learning tool that allows you to train/fit, test and use models without writing code
ML Model building -> A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
ML/DL project template
PyTorch Frame -> A Modular Framework for Multi-Modal Tabular Learning.
PyTorch Geometric -> Graph Neural Network Library for PyTorch.
PyTorch Geometric Temporal -> A temporal extension of PyTorch Geometric for dynamic graph representation learning.
Little Ball of Fur -> A graph sampling extension library for NetworkX with a Scikit-Learn like API.
Karate Club -> An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Auto_ViML -> Automatically Build Variant Interpretable ML models fast! Auto_ViML is pronounced “auto vimal”, is a comprehensive and scalable Python AutoML toolkit with imbalanced handling, ensembling, stacking and built-in feature selection. Featured in .

PyOD -> Python Outlier Detection, comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. Featured for Advanced models, including Neural Networks/Deep Learning and Outlier Ensembles.
steppy -> Lightweight, Python library for fast and reproducible machine learning experimentation. Introduces a very simple interface that enables clean machine learning pipeline design.
steppy-toolkit -> Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective.
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. Documentation can be found here.
Couler - Unified interface for constructing and managing machine learning workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
auto_ml - Automated machine learning for production and analytics. Lets you focus on the fun parts of ML, while outputting production-ready code, and detailed analytics of your dataset and results. Includes support for NLP, XGBoost, CatBoost, LightGBM, and soon, deep learning.
dtaidistance - High performance library for time series distances (DTW) and time series clustering.
einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
machine learning - automated build consisting of a web-interface, and set of programmatic-interface API, for support vector machines. Corresponding dataset(s) are stored into a SQL database, then generated model(s) used for prediction(s), are stored into a NoSQL datastore.
XGBoost - Python bindings for eXtreme Gradient Boosting (Tree) Library.
ChefBoost - a lightweight decision tree framework for Python with categorical feature support covering regular decision tree algorithms such as ID3, C4.5, CART, CHAID and regression tree; also some advanved bagging and boosting techniques such as gradient boosting, random forest and adaboost.
Apache SINGA - An Apache Incubating project for developing an open source machine learning library.
Bayesian Methods for Hackers - Book/iPython notebooks on Probabilistic Programming in Python.
Featureforge A set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
MLlib in Apache Spark - Distributed machine learning library in Spark
Hydrosphere Mist - A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
Towhee - A Python module that encode unstructured data into embeddings.
scikit-learn - A Python module for machine learning built on top of SciPy.
metric-learn - A Python module for metric learning.
OpenMetricLearning - A PyTorch-based framework to train and validate the models producing high-quality embeddings.
Intel(R) Extension for Scikit-learn - A seamless way to speed up your Scikit-learn applications with no accuracy loss and code changes.
SimpleAI Python implementation of many of the artificial intelligence algorithms described in the book “Artificial Intelligence, a Modern Approach”. It focuses on providing an easy to use, well documented and tested library.
astroML - Machine Learning and Data Mining for Astronomy.
graphlab-create - A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.
BigML - A library that contacts external servers.
pattern - Web mining module for Python.
NuPIC - Numenta Platform for Intelligent Computing.
Pylearn2 - A Machine Learning library based on Theano. [Deprecated]
keras - High-level neural networks frontend for TensorFlow, CNTK and Theano.
Lasagne - Lightweight library to build and train neural networks in Theano.
hebel - GPU-Accelerated Deep Learning Library in Python. [Deprecated]
Chainer - Flexible neural network framework.
prophet - Fast and automated time series forecasting framework by Facebook.
gensim - Topic Modelling for Humans.
tweetopic - Blazing fast short-text-topic-modelling for Python.
topicwizard - Interactive topic model visualization/interpretation framework.
topik - Topic modelling toolkit. [Deprecated]
PyBrain - Another Python Machine Learning Library.
Brainstorm - Fast, flexible and fun neural networks. This is the successor of PyBrain.
Surprise - A scikit for building and analyzing recommender systems.
implicit - Fast Python Collaborative Filtering for Implicit Datasets.
LightFM - A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
Crab - A flexible, fast recommender engine. [Deprecated]
python-recsys - A Python library for implementing a Recommender System.
thinking bayes - Book on Bayesian Analysis.
Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by isola et al.DEEP LEARNING
Restricted Boltzmann Machines -Restricted Boltzmann Machines in Python. DEEP LEARNING
Bolt - Bolt Online Learning Toolbox. [Deprecated]
CoverTree - Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree [Deprecated]
nilearn - Machine learning for NeuroImaging in Python.
neuropredict - Aimed at novice machine learners and non-expert programmers, this package offers easy (no coding needed) and comprehensive machine learning (evaluation and full report of predictive performance WITHOUT requiring you to code) in Python for NeuroImaging and any other type of features. This is aimed at absorbing much of the ML workflow, unlike other packages like nilearn and pymvpa, which require you to learn their API and code to produce anything useful.
imbalanced-learn - Python module to perform under sampling and oversampling with various techniques.
imbalanced-ensemble - Python toolbox for quick implementation, modification, evaluation, and visualization of ensemble learning algorithms for class-imbalanced data. Supports out-of-the-box multi-class imbalanced (long-tailed) classification.
Shogun - The Shogun Machine Learning Toolbox.
Pyevolve - Genetic algorithm framework. [Deprecated]
Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind.
breze - Theano based library for deep and recurrent neural networks.
Cortex - Open source platform for deploying machine learning models in production.
pyhsmm - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.
SKLL - A wrapper around scikit-learn that makes it simpler to conduct experiments.
neurolab
Spearmint - Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012. [Deprecated]
Pebl - Python Environment for Bayesian Learning. [Deprecated]
Theano - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python.
TensorFlow - Open source software library for numerical computation using data flow graphs.
pomegranate - Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
python-timbl - A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
deap - Evolutionary algorithm framework.
pydeep - Deep Learning In Python. [Deprecated]
mlxtend - A library consisting of useful tools for data science and machine learning tasks.
neon - Nervana’s high-performance Python-based Deep Learning framework DEEP LEARNING. [Deprecated]
Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search.
Neural Networks and Deep Learning - Code samples for my book “Neural Networks and Deep Learning” DEEP LEARNING.
Annoy - Approximate nearest neighbours implementation.
TPOT - Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.
pgmpy A python library for working with Probabilistic Graphical Models.
DIGITS - The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
Orange - Open source data visualization and data analysis for novices and experts.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
milk - Machine learning toolkit focused on supervised classification. [Deprecated]
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
REP - an IPython-based environment for conducting data-driven research in a consistent and reproducible way. REP is not trying to substitute scikit-learn, but extends it and provides better user experience. [Deprecated]
rgf_python - Python bindings for Regularized Greedy Forest (Tree) Library.
skbayes - Python package for Bayesian Machine Learning with scikit-learn API.
fuku-ml - Simple machine learning library, including Perceptron, Regression, Support Vector Machine, Decision Tree and more, it’s easy to use and easy to learn for beginners.
Xcessiv - A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling.
PyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Lightning - The lightweight PyTorch wrapper for high-performance AI research.
PyTorch Lightning Bolts - Toolbox of models, callbacks, and datasets for AI/ML researchers.
skorch - A scikit-learn compatible neural network library that wraps PyTorch.
ML-From-Scratch - Implementations of Machine Learning models from scratch in Python with a focus on transparency. Aims to showcase the nuts and bolts of ML in an accessible way.
Edward - A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow.
xRBM - A library for Restricted Boltzmann Machine (RBM) and its conditional variants in Tensorflow.
CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, well documented and supports CPU and GPU (even multi-GPU) computation.
stacked_generalization - Implementation of machine learning stacking technique as a handy library in Python.
modAL - A modular active learning framework for Python, built on top of scikit-learn.
Cogitare: A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
Parris - Parris, the automated infrastructure setup tool for machine learning algorithms.
neonrvm - neonrvm is an open source machine learning library based on RVM technique. It’s written in C programming language and comes with Python programming language bindings.
Turi Create - Machine learning from Apple. Turi Create simplifies the development of custom machine learning models. You don’t have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app.
xLearn - A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online advertisement and recommender systems.
mlens - A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
Thampi - Machine Learning Prediction System on AWS Lambda
MindsDB - Open Source framework to streamline use of neural networks.
Microsoft Recommenders: Examples and best practices for building recommendation systems, provided as Jupyter notebooks. The repo contains some of the latest state of the art algorithms from Microsoft Research as well as from other companies and institutions.
StellarGraph: Machine Learning on Graphs, a Python library for machine learning on graph-structured (network-structured) data.
BentoML: Toolkit for package and deploy machine learning models for serving in production
MiraiML: An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
numpy-ML: Reference implementations of ML models written in numpy
Neuraxle: A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Cornac - A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
JAX - JAX is Autograd and XLA, brought together for high-performance machine learning research.
Catalyst - High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop.
Fastai - High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
scikit-multiflow - A machine learning framework for multi-output/multi-label and stream data.
Lightwood - A Pytorch based framework that breaks down machine learning problems into smaller blocks that can be glued together seamlessly with objective to build predictive models with one line of code.
bayeso - A simple, but essential Bayesian optimization package, written in Python.
mljar-supervised - An Automated Machine Learning (AutoML) python package for tabular data. It can handle: Binary Classification, MultiClass Classification and Regression. It provides explanations and markdown reports.
evostra - A fast Evolution Strategy implementation in Python.
Determined - Scalable deep learning training platform, including integrated support for distributed training, hyperparameter tuning, experiment tracking, and model management.
PySyft - A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
PyGrid - Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft
sktime - A unified framework for machine learning with time series
OPFython - A Python-inspired implementation of the Optimum-Path Forest classifier.
Opytimizer - Python-based meta-heuristic optimization techniques.
Gradio - A Python library for quickly creating and sharing demos of models. Debug models interactively in your browser, get feedback from collaborators, and generate public links without deploying anything.
Hub - Fastest unstructured dataset management for TensorFlow/PyTorch. Stream & version-control data. Store even petabyte-scale data in a single numpy-like array on the cloud accessible on any machine. Visit activeloop.ai for more info.
Synthia - Multidimensional synthetic data generation in Python.
ByteHub - An easy-to-use, Python-based feature store. Optimized for time-series data.
Backprop - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
River: A framework for general purpose online machine learning.
FEDOT: An AutoML framework for the automated design of composite modelling pipelines. It can handle classification, regression, and time series forecasting tasks on different types of data (including multi-modal datasets).
Sklearn-genetic-opt: An AutoML package for hyperparameters tuning using evolutionary algorithms, with built-in callbacks, plotting, remote logging and more.
Evidently: Interactive reports to analyze machine learning models during validation or production monitoring.
Streamlit: Streamlit is an framework to create beautiful data apps in hours, not weeks.
Optuna: Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Deepchecks: Validation & testing of machine learning models and data during model development, deployment, and production. This includes checks and suites related to various types of issues, such as model performance, data integrity, distribution mismatches, and more.
Shapash : Shapash is a Python library that provides several types of visualization that display explicit labels that everyone can understand.
Eurybia: Eurybia monitors data and model drift over time and securizes model deployment with data validation.
Colossal-AI: An open-source deep learning system for large-scale model training and inference with high efficiency and low cost.
dirty_cat - facilitates machine-learning on dirty, non-curated categories. It provides transformers and encoders robust to morphological variants, such as typos.
Upgini: Free automated data & feature enrichment library for machine learning - automatically searches through thousands of ready-to-use features from public and community shared data sources and enriches your training dataset with only the accuracy improving features.
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics: A tutorial to help machine learning researchers to automatically obtain optimized machine learning models with the optimal learning performance on any specific task.
SKBEL: A Python library for Bayesian Evidential Learning (BEL) in order to estimate the uncertainty of a prediction.
NannyML: Python library capable of fully capturing the impact of data drift on performance. Allows estimation of post-deployment model performance without access to targets.
cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
AutoGluon: AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.
PyBroker - Algorithmic Trading with Machine Learning.
Frouros: Frouros is an open source Python library for drift detection in machine learning systems.
CometML: The best-in-class MLOps platform with experiment tracking, model production monitoring, a model registry, and data lineage from training straight through to production.

#### Neural Networks

Kinho - Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
nn_builder - nn_builder is a python package that lets you build neural networks in 1 line
NeuralTalk - NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
NeuralTalk - NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences. [Deprecated]
Neuron - Neuron is simple class for time series predictions. It’s utilize LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neural networks learned with Gradient descent or LeLevenberg–Marquardt algorithm. [Deprecated]
Data Driven Code - Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Machine Learning, Data Science and Deep Learning with Python - LiveVideo course that covers machine learning, Tensorflow, artificial intelligence, and neural networks.
TResNet: High Performance GPU-Dedicated Architecture - TResNet models were designed and optimized to give the best speed-accuracy tradeoff out there on GPUs.
TResNet: Simple and powerful neural network library for python - Variety of supported types of Artificial Neural Network and learning algorithms.
Jina AI An easier way to build neural search in the cloud. Compatible with Jupyter Notebooks.
sequitur PyTorch library for creating and training sequence autoencoders in just two lines of code

#### Spiking Neural Networks

Rockpool - A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
Sinabs - A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
Tonic - A library that makes downloading publicly available neuromorphic datasets a breeze and provides event-based data transformation/augmentation pipelines.

## Ruby

#### Natural Language Processing

Awesome NLP with Ruby - Curated link list for practical natural language processing in Ruby.
Treat - Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
Stemmer - Expose libstemmer_c to Ruby. [Deprecated]
Raspell - raspell is an interface binding for ruby. [Deprecated]
UEA Stemmer - Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.
Twitter-text-rb - A library that does auto linking and extraction of usernames, lists and hashtags in tweets.

#### General-Purpose Machine Learning

Awesome Machine Learning with Ruby - Curated list of ML related resources for Ruby.
Ruby Machine Learning - Some Machine Learning algorithms, implemented in Ruby. [Deprecated]
Machine Learning Ruby [Deprecated]
jRuby Mahout - JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby. [Deprecated]
CardMagic-Classifier - A general classifier module to allow Bayesian and other types of classifications.
rb-libsvm - Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
Scoruby - Creates Random Forest classifiers from PMML files.
rumale - Rumale is a machine learning library in Ruby

#### Data Analysis / Data Visualization

rsruby - Ruby - R bridge.
data-visualization-ruby - Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby. [Deprecated]
ruby-plot - gnuplot wrapper for Ruby, especially for plotting ROC curves into SVG files. [Deprecated]
plot-rb - A plotting library in Ruby built on top of Vega and D3. [Deprecated]
scruffy - A beautiful graphing toolkit for Ruby.
SciRuby
Glean - A data management tool for humans. [Deprecated]
Bioruby
Arel [Deprecated]

#### Misc

Big Data For Chimps
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash. Demo/Search for a list

## Rust

Deep Learning

tch-rs - Rust bindings for the C++ API of PyTorch
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals

Natural Language Processing

huggingface/tokenizers - Fast State-of-the-Art Tokenizers optimized for Research and Production
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,…)

## R

#### General-Purpose Machine Learning

ahaz - ahaz: Regularization for semiparametric additive hazards regression. [Deprecated]
arules - arules: Mining Association Rules and Frequent Itemsets
biglasso - biglasso: Extending Lasso Model Fitting to Big Data in R.
bmrm - bmrm: Bundle Methods for Regularized Risk Minimization Package.
Boruta - Boruta: A wrapper algorithm for all-relevant feature selection.
bst - bst: Gradient Boosting.
C50 - C50: C5.0 Decision Trees and Rule-Based Models.
caret - Classification and Regression Training: Unified interface to ~150 ML algorithms in R.
caretEnsemble - caretEnsemble: Framework for fitting multiple caret models as well as creating ensembles of such models. [Deprecated]
CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R.
Clever Algorithms For Machine Learning
CORElearn - CORElearn: Classification, regression, feature evaluation and ordinal evaluation. -* CoxBoost - CoxBoost: Cox models by likelihood based boosting for a single survival endpoint or competing risks [Deprecated]
Cubist - Cubist: Rule- and Instance-Based Regression Modelling.
e1071 - e1071: Misc Functions of the Department of Statistics (e1071), TU Wien
earth - earth: Multivariate Adaptive Regression Spline Models
elasticnet - elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA.
ElemStatLearn - ElemStatLearn: Data sets, functions and examples from the book: “The Elements of Statistical Learning, Data Mining, Inference, and Prediction” by Trevor Hastie, Robert Tibshirani and Jerome Friedman Prediction” by Trevor Hastie, Robert Tibshirani and Jerome Friedman.
evtree - evtree: Evolutionary Learning of Globally Optimal Trees.
forecast - forecast: Timeseries forecasting using ARIMA, ETS, STLM, TBATS, and neural network models.
forecastHybrid - forecastHybrid: Automatic ensemble and cross validation of ARIMA, ETS, STLM, TBATS, and neural network models from the “forecast” package.
fpc - fpc: Flexible procedures for clustering.
frbs - frbs: Fuzzy Rule-based Systems for Classification and Regression Tasks. [Deprecated]
GAMBoost - GAMBoost: Generalized linear and additive models by likelihood based boosting. [Deprecated]
gamboostLSS - gamboostLSS: Boosting Methods for GAMLSS.
gbm - gbm: Generalized Boosted Regression Models.
glmnet - glmnet: Lasso and elastic-net regularized generalized linear models.
glmpath - glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model.
GMMBoost - GMMBoost: Likelihood-based Boosting for Generalized mixed models. [Deprecated]
grplasso - grplasso: Fitting user specified models with Group Lasso penalty.
grpreg - grpreg: Regularization paths for regression models with grouped covariates.
h2o - A framework for fast, parallel, and distributed machine learning algorithms at scale – Deeplearning, Random forests, GBM, KMeans, PCA, GLM.
hda - hda: Heteroscedastic Discriminant Analysis. [Deprecated]
Introduction to Statistical Learning
ipred - ipred: Improved Predictors.
kernlab - kernlab: Kernel-based Machine Learning Lab.
klaR - klaR: Classification and visualization.
L0Learn - L0Learn: Fast algorithms for best subset selection.
lars - lars: Least Angle Regression, Lasso and Forward Stagewise. [Deprecated]
lasso2 - lasso2: L1 constrained estimation aka ‘lasso’.
LiblineaR - LiblineaR: Linear Predictive Models Based On The Liblinear C/C++ Library.
LogicReg - LogicReg: Logic Regression.
Machine Learning For Hackers
maptree - maptree: Mapping, pruning, and graphing tree models. [Deprecated]
mboost - mboost: Model-Based Boosting.
medley - medley: Blending regression models, using a greedy stepwise approach.
mlr - mlr: Machine Learning in R.
ncvreg - ncvreg: Regularization paths for SCAD- and MCP-penalized regression models.
nnet - nnet: Feed-forward Neural Networks and Multinomial Log-Linear Models. [Deprecated]
pamr - pamr: Pam: prediction analysis for microarrays. [Deprecated]
party - party: A Laboratory for Recursive Partitioning
partykit - partykit: A Toolkit for Recursive Partitioning.
penalized - penalized: L1 (lasso and fused lasso) and L2 (ridge) penalized estimation in GLMs and in the Cox model.
penalizedLDA - penalizedLDA: Penalized classification using Fisher’s linear discriminant. [Deprecated]
penalizedSVM - penalizedSVM: Feature Selection SVM using penalty functions.
quantregForest - quantregForest: Quantile Regression Forests.
randomForest - randomForest: Breiman and Cutler’s random forests for classification and regression.
randomForestSRC - randomForestSRC: Random Forests for Survival, Regression and Classification (RF-SRC).
rattle - rattle: Graphical user interface for data mining in R.
rda - rda: Shrunken Centroids Regularized Discriminant Analysis.
rdetools - rdetools: Relevant Dimension Estimation (RDE) in Feature Spaces. [Deprecated]
REEMtree - REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data. [Deprecated]
relaxo - relaxo: Relaxed Lasso. [Deprecated]
rgenoud - rgenoud: R version of GENetic Optimization Using Derivatives
Rmalschains - Rmalschains: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R.
rminer - rminer: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression. [Deprecated]
ROCR - ROCR: Visualizing the performance of scoring classifiers. [Deprecated]
RoughSets - RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories. [Deprecated]
rpart - rpart: Recursive Partitioning and Regression Trees.
RPMM - RPMM: Recursively Partitioned Mixture Model.
RSNNS - RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS).
RWeka - RWeka: R/Weka interface.
RXshrink - RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression.
sda - sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection. [Deprecated]
spectralGraphTopology - spectralGraphTopology: Learning Graphs from Data via Spectral Constraints.
SuperLearner - Multi-algorithm ensemble learning packages.
svmpath - svmpath: svmpath: the SVM Path algorithm. [Deprecated]
tgp - tgp: Bayesian treed Gaussian process models. [Deprecated]
tree - tree: Classification and regression trees.
varSelRF - varSelRF: Variable selection using random forests.
XGBoost.R - R binding for eXtreme Gradient Boosting (Tree) Library.
Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly to R.
igraph - binding to igraph library - General purpose graph library.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
TDSP-Utilities - Two data science utilities in R from Microsoft: 1) Interactive Data Exploration, Analysis, and Reporting (IDEAR) ; 2) Automated Modelling and Reporting (AMR).

#### Data Manipulation | Data Analysis | Data Visualization

dplyr - A data manipulation package that helps to solve the most common data manipulation problems.
ggplot2 - A data visualization package based on the grammar of graphics.
tmap for visualizing geospatial data with static maps and leaflet for interactive maps
tm and quanteda are the main packages for managing, analyzing, and visualizing textual data.
shiny is the basis for truly interactive displays and dashboards in R. However, some measure of interactivity can be achieved with htmlwidgets bringing javascript libraries to R. These include, plotly, dygraphs, highcharter, and several others.

## SAS

#### General-Purpose Machine Learning

Visual Data Mining and Machine Learning - Interactive, automated, and programmatic modelling with the latest machine learning algorithms in and end-to-end analytics environment, from data prep to deployment. Free trial available.
Enterprise Miner - Data mining and machine learning that creates deployable models using a GUI or code.
Factory Miner - Automatically creates deployable machine learning models across numerous market or customer segments using a GUI.

#### Data Analysis / Data Visualization

SAS/STAT - For conducting advanced statistical analysis.
University Edition - FREE! Includes all SAS packages necessary for data analysis and visualization, and includes online SAS courses.

#### Natural Language Processing

Contextual Analysis - Add structure to unstructured text using a GUI.
Sentiment Analysis - Extract sentiment from text using a GUI.
Text Miner - Text mining using a GUI or code.

#### Demos and Scripts

ML_Tables - Concise cheat sheets containing machine learning best practices.
enlighten-apply - Example code and materials that illustrate applications of SAS machine learning techniques.
enlighten-integration - Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R.
enlighten-deep - Example code and materials that illustrate using neural networks with several hidden layers in SAS.
dm-flow - Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

## Scala

#### Natural Language Processing

ScalaNLP - ScalaNLP is a suite of machine learning and numerical computing libraries.
Breeze - Breeze is a numerical processing library for Scala.
Chalk - Chalk is a natural language processing library. [Deprecated]
FACTORIE - FACTORIE is a toolkit for deployable probabilistic modelling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
Montague - Montague is a semantic parsing library for Scala with an easy-to-use DSL.
Spark NLP - Natural language processing library built on top of Apache Spark ML to provide simple, performant, and accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.

#### Data Analysis / Data Visualization

NDScala - N-dimensional arrays in Scala 3. Think NumPy ndarray, but with compile-time type-checking/inference over shapes, tensor/axis labels & numeric data types
MLlib in Apache Spark - Distributed machine learning library in Spark
Hydrosphere Mist - a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
Scalding - A Scala API for Cascading.
Summing Bird - Streaming MapReduce with Scalding and Storm.
Algebird - Abstract Algebra for Scala.
xerial - Data management utilities for Scala. [Deprecated]
PredictionIO - PredictionIO, a machine learning server for software developers and data engineers.
BIDMat - CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
Flink - Open source platform for distributed stream and batch data processing.
Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.

#### General-Purpose Machine Learning

Microsoft ML for Apache Spark -> A distributed machine learning framework Apache Spark
ONNX-Scala - An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
DeepLearning.scala - Creating statically typed dynamic neural networks from object-oriented & functional programming constructs.
Conjecture - Scalable Machine Learning in Scalding.
brushfire - Distributed decision tree ensemble learning in Scala.
ganitha - Scalding powered machine learning. [Deprecated]
adam - A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
bioscala - Bioinformatics for the Scala programming language
BIDMach - CPU and GPU-accelerated Machine Learning Library.
Figaro - a Scala library for constructing probabilistic models.
H2O Sparkling Water - H2O and Spark interoperability.
FlinkML in Apache Flink - Distributed machine learning library in Flink.
DynaML - Scala Library/REPL for Machine Learning Research.
Saul - Flexible Declarative Learning-Based Programming.
SwiftLearner - Simply written algorithms to help study ML or write your own implementations.
Smile - Statistical Machine Intelligence and Learning Engine.
doddle-model - An in-memory machine learning library built on top of Breeze. It provides immutable objects and exposes its functionality through a scikit-learn-like API.
TensorFlow Scala - Strongly-typed Scala API for TensorFlow.

## Scheme

#### Neural Networks

layer - Neural network inference from the command line, implemented in CHICKEN Scheme.

## Swift

#### General-Purpose Machine Learning

Bender - Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
Swift AI - Highly optimized artificial intelligence and machine learning library written in Swift.
Swift for Tensorflow - a next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond.
BrainCore - The iOS and OS X neural network framework.
swix - A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development. [Deprecated]
AIToolbox - A toolbox framework of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
MLKit - A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
Swift Brain - The first neural network / machine learning library written in Swift. This is a project for AI algorithms in Swift for iOS and OS X development. This project includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices, etc…
Perfect TensorFlow - Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
PredictionBuilder - A library for machine learning that builds predictions using a linear regression.
Awesome CoreML - A curated list of pretrained CoreML models.
Awesome Core ML Models - A curated list of machine learning models in CoreML format.

## TensorFlow

## Tools

#### Neural Networks * layer - Neural network inference from the command line

#### Misc

Wallaroo.AI - Production AI plaftorm for deploying, managing, and observing any model at scale across any envirorment from cloud to edge. Let’s you go from python notebook to inferencing in minutes.
Infinity - The AI-native database built for LLM applications, providing incredibly fast vector and full-text search. Developed using C++20
Synthical - AI-powered collaborative research environment. You can use it to get recommendations of articles based on reading history, simplify papers, find out what articles are trending, search articles by meaning (not just keywords), create and share folders of articles, see lists of articles from specific companies and universities, and add highlights.
Humanloop – Humanloop is a platform for prompt experimentation, finetuning models for better performance, cost optimization, and collecting model generated data and user feedback.
Qdrant – Qdrant is open source vector similarity search engine with extended filtering support, written in Rust.
milvus – Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
Weaviate – Weaviate is an open source vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale.
txtai - Build semantic search applications and workflows.
MLReef - MLReef is an end-to-end development platform using the power of git to give structure and deep collaboration possibilities to the ML development process.
Chroma - Chroma - the AI-native open-source embedding database
Pinecone - Vector database for applications that require real-time, scalable vector embedding and similarity search.
CatalyzeX - Browser extension (Chrome and Firefox) that automatically finds and shows code implementations for machine learning papers anywhere: Google, Twitter, Arxiv, Scholar, etc.
ML Workspace - All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
Notebooks - A starter kit for Jupyter notebooks and machine learning. Companion docker images consist of all combinations of python versions, machine learning frameworks (Keras, PyTorch and Tensorflow) and CPU/CUDA versions.
DVC - Data Science Version Control is an open-source version control system for machine learning projects with pipelines support. It makes ML projects reproducible and shareable.
DVClive - Python library for experiment metrics logging into simply formatted local files.
VDP - open source visual data ETL to streamline the end-to-end visual data processing pipeline: extract unstructured visual data from pre-built data sources, transform it into analysable structured insights by Vision AI models imported from various ML platforms, and load the insights into warehouses or applications.
Kedro - Kedro is a data and development workflow framework that implements best practices for data pipelines with an eye towards productionizing machine learning models.
guild.ai - Tool to log, analyze, compare and “optimize” experiments. It’s cross-platform and framework independent, and provided integrated visualizers such as tensorboard.
Sacred - Python tool to help you configure, organize, log and reproduce experiments. Like a notebook lab in the context of Chemistry/Biology. The community has built multiple add-ons leveraging the proposed standard.
Comet - ML platform for tracking experiments, hyper-parameters, artifacts and more. It’s deeply integrated with over 15+ deep learning frameworks and orchestration tools. Users can also use the platform to monitor their models in production.
MLFlow - platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. Framework and language agnostic, take a look at all the built-in integrations.
Weights & Biases - Machine learning experiment tracking, dataset versioning, hyperparameter search, visualization, and collaboration
More tools to improve the ML lifecycle: Catalyst, PachydermIO. The following are GitHub-alike and targeting teams Weights & Biases, Neptune.ai, Comet.ml, Valohai.ai, DAGsHub.
Arize AI - Model validaiton and performance monitoring, drift detection, explainability, visualization across structured and unstructured data
MachineLearningWithTensorFlow2ed - a book on general purpose machine learning techniques regression, classification, unsupervised clustering, reinforcement learning, auto encoders, convolutional neural networks, RNNs, LSTMs, using TensorFlow 1.14.1.
m2cgen - A tool that allows the conversion of ML models into native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart) with zero dependencies.
CML - A library for doing continuous integration with ML projects. Use GitHub Actions & GitLab CI to train and evaluate models in production like environments and automatically generate visual reports with metrics and graphs in pull/merge requests. Framework & language agnostic.
Pythonizr - An online tool to generate boilerplate machine learning code that uses scikit-learn.
Flyte - Flyte makes it easy to create concurrent, scalable, and maintainable workflows for machine learning and data processing.
Chaos Genius - ML powered analytics engine for outlier/anomaly detection and root cause analysis.
MLEM - Version and deploy your ML models following GitOps principles
DockerDL - Ready to use deeplearning docker images.
Aqueduct - Aqueduct enables you to easily define, run, and manage AI & ML tasks on any cloud infrastructure.
Ambrosia - Ambrosia helps you clean up your LLM datasets using other LLMs.

## Books

Distributed Machine Learning Patterns - This book teaches you how to take machine learning models from your personal laptop to large distributed clusters. You’ll explore key concepts and patterns behind successful distributed machine learning systems, and learn technologies like TensorFlow, Kubernetes, Kubeflow, and Argo Workflows directly from a key maintainer and contributor, with real-world scenarios and hands-on projects.
Grokking Machine Learning - Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math.
Machine Learning Bookcamp - Learn the essentials of machine learning by completing a carefully designed set of real-world projects.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

Credits

Some of the python libraries were cut-and-pasted from vinta
References for Go were mostly cut-and-pasted from gopherdata

2. Machine Learning with Python – Part II

This curated list contains 920 awesome open-source projects with a total of 4.5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers.

🧙‍♂️ Discover other or create .
📫 Subscribe to our for updates and trending projects.

Machine Learning Frameworks 62 projects
Data Visualization 54 projects
Text Data & NLP 102 projects
Image Data 64 projects
Graph Data 36 projects
Audio Data 29 projects
Geospatial Data 22 projects
Financial Data 25 projects
Time Series Data 30 projects
Medical Data 19 projects
Tabular Data 5 projects
Optical Character Recognition 12 projects
Data Containers & Structures 1 projects
Data Loading & Extraction 1 projects
Web Scraping & Crawling 1 projects
Data Pipelines & Streaming 1 projects
Distributed Machine Learning 36 projects
Hyperparameter Optimization & AutoML 52 projects
Reinforcement Learning 23 projects
Recommender Systems 17 projects
Privacy Machine Learning 7 projects
Workflow & Experiment Tracking 40 projects
Model Serialization & Deployment 20 projects
Model Interpretability 54 projects
Vector Similarity Search (ANN) 13 projects
Probabilistics & Statistics 23 projects
Adversarial Robustness 9 projects
GPU & Accelerator Utilities 20 projects
Tensorflow Utilities 16 projects
Jax Utilities 3 projects
Sklearn Utilities 19 projects
Pytorch Utilities 32 projects
Database Clients 1 projects
Others 66 projects

Explanation

🥇🥈🥉 Combined project-quality score
⭐️ Star count from GitHub
🐣 New project (less than 6 months old)
💤 Inactive project (6 months no activity)
💀 Dead project (12 months no activity)
📈📉 Project is trending up or down
➕ Project was recently added
❗️ Warning (e.g. missing/risky license)
👨‍💻 Contributors count from GitHub
🔀 Fork count from GitHub
📋 Issue count from GitHub
⏱️ Last update timestamp on package manager
📥 Download count from package manager
📦 Number of dependent projects
Tensorflow related project
Sklearn related project
PyTorch related project
MxNet related project
Apache Spark related project
Jupyter related project
PaddlePaddle related project
Pandas related project
Jax related project

Machine Learning Frameworks

General-purpose machine learning and deep learning frameworks.

(🥇56 · ⭐ 190K) - An Open Source Machine Learning Framework for Everyone.

GitHub (👨‍💻 4.6K · 🔀 74K · 📦 380K · 📋 40K - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/tensorflow/tensorflow
```
PyPi (📥 21M / month · 📦 7.4K · ⏱️ 09.03.2024): pip install tensorflow
Conda (📥 4.7M · ⏱️ 24.05.2024): conda install -c conda-forge tensorflow
Docker Hub (📥 77M · ⭐ 2.4K · ⏱️ 06.06.2024): docker pull tensorflow/tensorflow

(🥇55 · ⭐ 79K) - Tensors and Dynamic neural networks in Python with strong GPU..

GitHub (👨‍💻 4.9K · 🔀 21K · 📥 43K · 📦 460K · 📋 44K - 32% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/pytorch
```
PyPi (📥 29M / month · 📦 17K · ⏱️ 05.06.2024): pip install torch
Conda (📥 22M · ⏱️ 04.06.2024): conda install -c pytorch pytorch

(🥇52 · ⭐ 59K) - scikit-learn: machine learning in Python.

GitHub (👨‍💻 3.1K · 🔀 25K · 📥 960 · 📦 790K · 📋 11K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/scikit-learn/scikit-learn
```
PyPi (📥 68M / month · 📦 22K · ⏱️ 21.05.2024): pip install scikit-learn
Conda (📥 29M · ⏱️ 23.05.2024): conda install -c conda-forge scikit-learn

(🥇48 · ⭐ 61K) - Deep Learning for humans.

GitHub (👨‍💻 1.3K · 🔀 19K · 📋 12K - 1% open · ⏱️ 05.06.2024):
```
git clone https://github.com/keras-team/keras
```
PyPi (📥 17M / month · 📦 1.4K · ⏱️ 22.04.2024): pip install keras
Conda (📥 3.5M · ⏱️ 27.04.2024): conda install -c conda-forge keras

(🥇45 · ⭐ 39K) - Apache Spark Python API.

GitHub (👨‍💻 3.1K · 🔀 28K · ⏱️ 06.06.2024):
```
git clone https://github.com/apache/spark
```
PyPi (📥 29M / month · 📦 1.4K · ⏱️ 03.06.2024): pip install pyspark
Conda (📥 3.2M · ⏱️ 03.03.2024): conda install -c conda-forge pyspark

(🥇45 · ⭐ 29K) - Composable transformations of Python+NumPy programs: differentiate,..

GitHub (👨‍💻 700 · 🔀 2.6K · 📦 26K · 📋 5.5K - 29% open · ⏱️ 06.06.2024):
```
git clone https://github.com/google/jax
```
PyPi (📥 5.9M / month · 📦 1.5K · ⏱️ 09.05.2024): pip install jax
Conda (📥 1.3M · ⏱️ 22.05.2024): conda install -c conda-forge jaxlib

(🥇45 · ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning..

GitHub (👨‍💻 1.2K · 🔀 5.4K · 📥 15K · 📦 5.2K · 📋 19K - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/PaddlePaddle/Paddle
```
PyPi (📥 210K / month · 📦 110 · ⏱️ 19.03.2024): pip install paddlepaddle

(🥇45 · ⭐ 9.7K) - Statsmodels: statistical modeling and econometrics in Python.

GitHub (👨‍💻 430 · 🔀 2.8K · 📥 31 · 📦 130K · 📋 5.5K - 50% open · ⏱️ 01.06.2024):
```
git clone https://github.com/statsmodels/statsmodels
```
PyPi (📥 17M / month · 📦 4K · ⏱️ 17.04.2024): pip install statsmodels
Conda (📥 13M · ⏱️ 17.05.2024): conda install -c conda-forge statsmodels

(🥈44 · ⭐ 27K) - Pretrain, finetune and deploy AI models on multiple..

GitHub (👨‍💻 950 · 🔀 3.3K · 📥 7.6K · 📦 33K · 📋 6.9K - 10% open · ⏱️ 06.06.2024):
```
git clone https://github.com/Lightning-AI/lightning
```
PyPi (📥 5.4M / month · 📦 1.4K · ⏱️ 22.05.2024): pip install pytorch-lightning
Conda (📥 1.2M · ⏱️ 12.04.2024): conda install -c conda-forge pytorch-lightning

(🥈44 · ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or..

GitHub (👨‍💻 640 · 🔀 8.7K · 📥 8.6K · 📦 94K · 📋 5.2K - 8% open · ⏱️ 05.06.2024):
```
git clone https://github.com/dmlc/xgboost
```
PyPi (📥 20M / month · 📦 1.8K · ⏱️ 31.05.2024): pip install xgboost
Conda (📥 4.9M · ⏱️ 18.04.2024): conda install -c conda-forge xgboost

(🥈43 · ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,..

GitHub (👨‍💻 300 · 🔀 3.8K · 📥 220K · 📦 34K · 📋 3.4K - 11% open · ⏱️ 05.06.2024):
```
git clone https://github.com/microsoft/LightGBM
```
PyPi (📥 7.6M / month · 📦 1K · ⏱️ 26.01.2024): pip install lightgbm
Conda (📥 2.3M · ⏱️ 26.01.2024): conda install -c conda-forge lightgbm

(🥈41 · ⭐ 7.8K) - A fast, scalable, high performance Gradient Boosting on Decision..

GitHub (👨‍💻 1.2K · 🔀 1.1K · 📥 260K · 📦 14 · 📋 2.3K - 22% open · ⏱️ 06.06.2024):
```
git clone https://github.com/catboost/catboost
```
PyPi (📥 2.2M / month · 📦 390 · ⏱️ 18.04.2024): pip install catboost
Conda (📥 1.5M · ⏱️ 18.04.2024): conda install -c conda-forge catboost

(🥈40 · ⭐ 26K) - The fastai deep learning library.

GitHub (👨‍💻 670 · 🔀 7.5K · 📦 17K · 📋 1.8K - 11% open · ⏱️ 25.05.2024):
```
git clone https://github.com/fastai/fastai
```
PyPi (📥 370K / month · 📦 290 · ⏱️ 27.04.2024): pip install fastai

(🥈39 · ⭐ 20K) - Build multimodal AI applications with cloud-native stack.

GitHub (👨‍💻 180 · 🔀 2.2K · 📦 1.7K · 📋 2K - 1% open · ⏱️ 16.05.2024):
```
git clone https://github.com/jina-ai/jina
```
PyPi (📥 40K / month · 📦 27 · ⏱️ 10.04.2024): pip install jina
Conda (📥 65K · ⏱️ 16.06.2023): conda install -c conda-forge jina-core
Docker Hub (📥 1.3M · ⭐ 8 · ⏱️ 16.05.2024): docker pull jinaai/jina

(🥈39 · ⭐ 5.7K) - Flax is a neural network library for JAX that is designed for..

GitHub (👨‍💻 220 · 🔀 600 · 📥 51 · 📦 7.7K · 📋 930 - 24% open · ⏱️ 06.06.2024):
```
git clone https://github.com/google/flax
```
PyPi (📥 3.4M / month · 📦 400 · ⏱️ 24.05.2024): pip install flax
Conda (📥 52K · ⏱️ 30.04.2024): conda install -c conda-forge flax

(🥈38 · ⭐ 23K) - Apache Flink Python API.

GitHub (👨‍💻 1.9K · 🔀 13K · 📦 21 · ⏱️ 06.06.2024):
```
git clone https://github.com/apache/flink
```
PyPi (📥 80K / month · 📦 24 · ⏱️ 15.03.2024): pip install apache-flink

(🥈37 · ⭐ 9.9K) - Theano was a Python library that allows you to define, optimize, and..

GitHub (👨‍💻 390 · 🔀 2.5K · 📦 15K · 📋 2.8K - 24% open · ⏱️ 15.01.2024):
```
git clone https://github.com/Theano/Theano
```
PyPi (📥 300K / month · 📦 170 · ⏱️ 27.07.2020): pip install theano
Conda (📥 2.4M · ⏱️ 16.06.2023): conda install -c conda-forge theano

(🥈36 · ⭐ 14K · 📈) - The Unified AI Framework.

GitHub (👨‍💻 1.5K · 🔀 5.8K · 📋 17K - 5% open · ⏱️ 06.06.2024):
```
git clone https://github.com/unifyai/ivy
```
PyPi (📥 1.5K / month · 📦 12 · ⏱️ 05.06.2024): pip install ivy

(🥈36 · ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite..

GitHub (👨‍💻 63 · 🔀 280 · 📦 48K · 📋 140 - 13% open · ⏱️ 03.06.2024):
```
git clone https://github.com/explosion/thinc
```
PyPi (📥 9.9M / month · 📦 120 · ⏱️ 04.06.2024): pip install thinc
Conda (📥 2.8M · ⏱️ 11.05.2024): conda install -c conda-forge thinc

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GitHub (👨‍💻 160 · 🔀 1.2K · 📦 260 · 📋 1.1K - 32% open · ⏱️ 01.06.2024):
```
git clone https://github.com/ludwig-ai/ludwig
```
PyPi (📥 4.7K / month · 📦 6 · ⏱️ 08.04.2024): pip install ludwig

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GitHub (👨‍💻 340 · 🔀 1.9K · 📋 1.3K - 10% open · ⏱️ 23.05.2024):
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
PyPi (📥 62K / month · 📦 40 · ⏱️ 19.07.2023): pip install vowpalwabbit
Conda (📥 160K · ⏱️ 26.04.2024): conda install -c conda-forge vowpalwabbit

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GitHub (👨‍💻 27 · 🔀 340 · 📦 36K · 📋 170 - 19% open · ⏱️ 26.05.2024):
```
git clone https://github.com/arogozhnikov/einops
```
PyPi (📥 7.3M / month · 📦 1.7K · ⏱️ 28.04.2024): pip install einops
Conda (📥 220K · ⏱️ 28.04.2024): conda install -c conda-forge einops

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GitHub (👨‍💻 530 · 🔀 600 · 📦 2.9K · 📋 1.4K - 10% open · ⏱️ 04.06.2024):
```
git clone https://github.com/pytorch/ignite
```
PyPi (📥 260K / month · 📦 84 · ⏱️ 06.06.2024): pip install pytorch-ignite
Conda (📥 180K · ⏱️ 01.04.2024): conda install -c pytorch ignite

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GitHub (👨‍💻 320 · 🔀 1.6K · 📋 1.6K - 1% open · ⏱️ 03.06.2024):
```
git clone https://github.com/mlpack/mlpack
```
PyPi (📥 2.3K / month · 📦 2 · ⏱️ 28.05.2024): pip install mlpack
Conda (📥 190K · ⏱️ 29.05.2024): conda install -c conda-forge mlpack

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GitHub (👨‍💻 59 · 🔀 1.3K · 📦 1.3K · 📋 190 - 16% open · ⏱️ 08.04.2024):
```
git clone https://github.com/deepmind/sonnet
```
PyPi (📥 18K / month · 📦 18 · ⏱️ 02.01.2024): pip install dm-sonnet
Conda (📥 29K · ⏱️ 16.06.2023): conda install -c conda-forge sonnet

(🥉32 · ⭐ 6.3K · 💤) - A Neural Net Training Interface on TensorFlow, with..

GitHub (👨‍💻 58 · 🔀 1.8K · 📥 170 · 📦 1.6K · 📋 1.4K - 0% open · ⏱️ 06.08.2023):
```
git clone https://github.com/tensorpack/tensorpack
```
PyPi (📥 14K / month · 📦 18 · ⏱️ 22.01.2021): pip install tensorpack
Conda (📥 11K · ⏱️ 16.06.2023): conda install -c conda-forge tensorpack

(🥉31 · ⭐ 5.7K) - A scikit-learn compatible neural network library that wraps..

GitHub (👨‍💻 62 · 🔀 380 · 📦 1.3K · 📋 520 - 11% open · ⏱️ 30.05.2024):
```
git clone https://github.com/skorch-dev/skorch
```
PyPi (📥 170K / month · 📦 80 · ⏱️ 27.05.2024): pip install skorch
Conda (📥 780K · ⏱️ 30.05.2024): conda install -c conda-forge skorch

(🥉31 · ⭐ 3.4K · 💤) - DyNet: The Dynamic Neural Network Toolkit.

GitHub (👨‍💻 160 · 🔀 700 · 📥 16K · 📦 260 · 📋 940 - 29% open · ⏱️ 08.11.2023):
```
git clone https://github.com/clab/dynet
```
PyPi (📥 290K / month · 📦 18 · ⏱️ 21.10.2020): pip install dyNET

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GitHub (👨‍💻 81 · 🔀 230 · 📦 1.9K · 📋 250 - 28% open · ⏱️ 22.05.2024):
```
git clone https://github.com/deepmind/dm-haiku
```
PyPi (📥 290K / month · 📦 160 · ⏱️ 28.02.2024): pip install dm-haiku
Conda (📥 17K · ⏱️ 28.02.2024): conda install -c conda-forge dm-haiku

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GitHub (👨‍💻 4.6K · 🔀 91 · 📥 21 · 📋 370 - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
PyPi (📥 4.1K / month · 📦 6 · ⏱️ 10.01.2024): pip install tensorflow-rocm

(🥉30 · ⭐ 2.9K) - Determined is an open-source machine learning platform..

GitHub (👨‍💻 120 · 🔀 340 · 📥 8.1K · 📋 460 - 26% open · ⏱️ 06.06.2024):
```
git clone https://github.com/determined-ai/determined
```
PyPi (📥 47K / month · 📦 4 · ⏱️ 29.05.2024): pip install determined

(🥉30 · ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more..

GitHub (👨‍💻 16 · 🔀 270 · 📦 520 · 📋 490 - 0% open · ⏱️ 05.04.2024):
```
git clone https://github.com/amaiya/ktrain
```
PyPi (📥 10K / month · 📦 3 · ⏱️ 05.04.2024): pip install ktrain

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GitHub (👨‍💻 92 · 🔀 230 · 📦 110 · 📋 560 - 37% open · ⏱️ 21.05.2024):
```
git clone https://github.com/geomstats/geomstats
```
PyPi (📥 3.4K / month · 📦 3 · ⏱️ 30.08.2023): pip install geomstats
Conda (📥 2.6K · ⏱️ 30.08.2023): conda install -c conda-forge geomstats

(🥉29 · ⭐ 2.7K) - Neural Network Libraries.

GitHub (👨‍💻 76 · 🔀 330 · 📥 920 · 📋 95 - 36% open · ⏱️ 06.06.2024):
```
git clone https://github.com/sony/nnabla
```
PyPi (📥 4.2K / month · 📦 44 · ⏱️ 29.05.2024): pip install nnabla

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GitHub (👨‍💻 73 · 🔀 250 · 📥 410K · 📦 140 · 📋 300 - 25% open · ⏱️ 03.12.2023):
```
git clone https://github.com/georgia-tech-db/eva
```
PyPi (📥 460 / month · ⏱️ 19.11.2023): pip install evadb

(🥉27 · ⭐ 600) - Machine learning for multivariate data through the Riemannian..

GitHub (👨‍💻 33 · 🔀 160 · 📦 350 · 📋 100 - 3% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pyRiemann/pyRiemann
```
PyPi (📥 34K / month · 📦 26 · ⏱️ 10.04.2024): pip install pyriemann
Conda (📥 6K · ⏱️ 10.04.2024): conda install -c conda-forge pyriemann

(🥉26 · ⭐ 3K) - Unified and efficient Machine Learning.

GitHub (👨‍💻 250 · 🔀 1K · 📋 1.5K - 27% open · ⏱️ 19.12.2023):
```
git clone https://github.com/shogun-toolbox/shogun
```
Conda (📥 130K · ⏱️ 16.06.2023): conda install -c conda-forge shogun
Docker Hub (📥 1.5K · ⭐ 1 · ⏱️ 31.01.2019): docker pull shogun/shogun

(🥉24 · ⭐ 3K) - Towhee is a framework that is dedicated to making neural data..

GitHub (👨‍💻 35 · 🔀 250 · 📥 2.6K · 📋 660 - 0% open · ⏱️ 20.01.2024):
```
git clone https://github.com/towhee-io/towhee
```
PyPi (📥 18K / month · ⏱️ 04.12.2023): pip install towhee

(🥉24 · ⭐ 2.2K · 📉) - Fast and Easy Infinite Neural Networks in Python.

GitHub (👨‍💻 29 · 🔀 240 · 📥 380 · 📦 100 · 📋 160 - 38% open · ⏱️ 01.03.2024):
```
git clone https://github.com/google/neural-tangents
```
PyPi (📥 2.3K / month · 📦 1 · ⏱️ 11.12.2023): pip install neural-tangents

(🥉24 · ⭐ 1.5K · 💤) - fklearn: Functional Machine Learning.

GitHub (👨‍💻 55 · 🔀 160 · 📦 13 · 📋 63 - 60% open · ⏱️ 08.11.2023):
```
git clone https://github.com/nubank/fklearn
```
PyPi (📥 1.1K / month · ⏱️ 23.05.2024): pip install fklearn

(🥉23 · ⭐ 4.9K) - MACE is a deep learning inference framework optimized for mobile..

GitHub (👨‍💻 69 · 🔀 820 · 📥 1.5K · 📋 680 - 8% open · ⏱️ 11.03.2024):
```
git clone https://github.com/XiaoMi/mace
```

(🥉22 · ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs.

GitHub (👨‍💻 37 · 🔀 210 · 📥 2.8K · 📋 230 - 34% open · ⏱️ 01.04.2024):
```
git clone https://github.com/Xtra-Computing/thundersvm
```
PyPi (📥 840 / month · ⏱️ 13.03.2020): pip install thundersvm

(🥉21 · ⭐ 760) - Objax is a machine learning framework that provides an Object..

GitHub (👨‍💻 26 · 🔀 78 · 📦 54 · 📋 110 - 45% open · ⏱️ 27.01.2024):
```
git clone https://github.com/google/objax
```
PyPi (📥 630 / month · 📦 4 · ⏱️ 06.11.2023): pip install objax

(🥉21 · ⭐ 760) - Machine learning framework for both deep learning and traditional..

GitHub (👨‍💻 37 · 🔀 120 · 📋 87 - 42% open · ⏱️ 29.05.2024):
```
git clone https://github.com/neoml-lib/neoml
```
PyPi (📥 130 / month · ⏱️ 26.12.2023): pip install neoml

(🥉21 · ⭐ 630) - torchbearer: A model fitting library for PyTorch.

GitHub (👨‍💻 14 · 🔀 68 · 📦 88 · 📋 250 - 4% open · ⏱️ 04.12.2023):
```
git clone https://github.com/pytorchbearer/torchbearer
```
PyPi (📥 390 / month · 📦 4 · ⏱️ 01.12.2023): pip install torchbearer

(🥉20 · ⭐ 440) - A Lightweight Decision Tree Framework supporting regular algorithms:..

GitHub (👨‍💻 7 · 🔀 100 · 📦 53 · 📋 49 - 14% open · ⏱️ 26.12.2023):
```
git clone https://github.com/serengil/chefboost
```
PyPi (📥 2.6K / month · ⏱️ 16.02.2022): pip install chefboost

(🥉17 · ⭐ 690) - ThunderGBM: Fast GBDTs and Random Forests on GPUs.

GitHub (👨‍💻 12 · 🔀 87 · 📦 2 · 📋 81 - 48% open · ⏱️ 29.01.2024):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
PyPi (📥 220 / month · ⏱️ 19.09.2022): pip install thundergbm

Show 15 hidden projects…

(🥈41 · ⭐ 13K) - A toolkit for making real world machine learning and data analysis..

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Data Visualization

General-purpose and task-specific data visualization libraries.

(🥇48 · ⭐ 20K) - matplotlib: plotting with Python. ❗Unlicensed

GitHub (👨‍💻 1.7K · 🔀 7.4K · 📦 1.2M · 📋 11K - 14% open · ⏱️ 05.06.2024):
```
git clone https://github.com/matplotlib/matplotlib
```
PyPi (📥 66M / month · 📦 45K · ⏱️ 15.05.2024): pip install matplotlib
Conda (📥 24M · ⏱️ 17.05.2024): conda install -c conda-forge matplotlib

(🥇45 · ⭐ 19K) - Interactive Data Visualization in the browser, from Python.

GitHub (👨‍💻 690 · 🔀 4.2K · 📦 89K · 📋 7.7K - 10% open · ⏱️ 05.06.2024):
```
git clone https://github.com/bokeh/bokeh
```
PyPi (📥 4M / month · 📦 1.6K · ⏱️ 04.06.2024): pip install bokeh
Conda (📥 14M · ⏱️ 12.04.2024): conda install -c conda-forge bokeh

(🥇44 · ⭐ 15K) - The interactive graphing library for Python This project now includes..

GitHub (👨‍💻 260 · 🔀 2.5K · 📦 270K · 📋 2.9K - 51% open · ⏱️ 03.06.2024):
```
git clone https://github.com/plotly/plotly.py
```
PyPi (📥 16M / month · 📦 5.6K · ⏱️ 01.05.2024): pip install plotly
Conda (📥 6M · ⏱️ 04.05.2024): conda install -c conda-forge plotly
npm (📥 14K / month · 📦 9 · ⏱️ 12.01.2021): npm install plotlywidget

(🥇43 · ⭐ 12K) - Statistical data visualization in Python.

GitHub (👨‍💻 210 · 🔀 1.9K · 📥 390 · 📦 420K · 📋 2.5K - 5% open · ⏱️ 25.04.2024):
```
git clone https://github.com/mwaskom/seaborn
```
PyPi (📥 17M / month · 📦 9.7K · ⏱️ 25.01.2024): pip install seaborn
Conda (📥 8.9M · ⏱️ 30.04.2024): conda install -c conda-forge seaborn

(🥇41 · ⭐ 21K) - Data Apps & Dashboards for Python. No JavaScript Required.

GitHub (👨‍💻 160 · 🔀 2K · 📥 72 · 📦 64K · 📋 1.8K - 46% open · ⏱️ 03.06.2024):
```
git clone https://github.com/plotly/dash
```
PyPi (📥 2.9M / month · 📦 1.2K · ⏱️ 03.05.2024): pip install dash
Conda (📥 1.3M · ⏱️ 04.05.2024): conda install -c conda-forge dash

(🥇41 · ⭐ 9K) - Declarative statistical visualization library for Python.

GitHub (👨‍💻 160 · 🔀 760 · 📥 120 · 📦 140K · 📋 2K - 8% open · ⏱️ 23.05.2024):
```
git clone https://github.com/altair-viz/altair
```
PyPi (📥 24M / month · 📦 770 · ⏱️ 30.03.2024): pip install altair
Conda (📥 2.3M · ⏱️ 30.03.2024): conda install -c conda-forge altair

(🥈38 · ⭐ 12K) - 1 Line of code data quality profiling & exploratory..

GitHub (👨‍💻 120 · 🔀 1.6K · 📥 100 · 📦 3.3K · 📋 780 - 28% open · ⏱️ 31.05.2024):
```
git clone https://github.com/ydataai/pandas-profiling
```
PyPi (📥 820K / month · 📦 180 · ⏱️ 03.02.2023): pip install pandas-profiling
Conda (📥 430K · ⏱️ 16.06.2023): conda install -c conda-forge pandas-profiling

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GitHub (👨‍💻 140 · 🔀 390 · 📦 11K · 📋 3.3K - 33% open · ⏱️ 06.06.2024):
```
git clone https://github.com/holoviz/holoviews
```
PyPi (📥 490K / month · 📦 360 · ⏱️ 23.05.2024): pip install holoviews
Conda (📥 1.6M · ⏱️ 12.02.2024): conda install -c conda-forge holoviews
npm (📥 200 / month · 📦 5 · ⏱️ 22.03.2024): npm install @pyviz/jupyterlab_pyviz

(🥈37 · ⭐ 3.9K · 📈) - A Grammar of Graphics for Python.

GitHub (👨‍💻 110 · 🔀 200 · 📦 7.8K · 📋 640 - 11% open · ⏱️ 30.05.2024):
```
git clone https://github.com/has2k1/plotnine
```
PyPi (📥 3.3M / month · 📦 260 · ⏱️ 09.05.2024): pip install plotnine
Conda (📥 370K · ⏱️ 10.05.2024): conda install -c conda-forge plotnine

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GitHub (👨‍💻 280 · 🔀 1.1K · 📦 9.6K · 📋 1.3K - 30% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
PyPi (📥 230K / month · 📦 940 · ⏱️ 29.04.2024): pip install pyqtgraph
Conda (📥 540K · ⏱️ 02.05.2024): conda install -c conda-forge pyqtgraph

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GitHub (👨‍💻 23 · 🔀 210 · 📦 67K · 📋 180 - 7% open · ⏱️ 13.05.2024):
```
git clone https://github.com/xflr6/graphviz
```
PyPi (📥 12M / month · 📦 2.4K · ⏱️ 21.03.2024): pip install graphviz
Conda (📥 46K · ⏱️ 08.04.2024): conda install -c anaconda python-graphviz

(🥈36 · ⭐ 15K) - Python Echarts Plotting Library.

GitHub (👨‍💻 43 · 🔀 2.8K · 📥 58 · 📦 4.2K · 📋 1.9K - 0% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pyecharts/pyecharts
```
PyPi (📥 210K / month · 📦 190 · ⏱️ 03.03.2024): pip install pyecharts

(🥈36 · ⭐ 2.4K) - 3D plotting and mesh analysis through a streamlined interface for..

GitHub (👨‍💻 160 · 🔀 440 · 📥 800 · 📦 3K · 📋 1.6K - 34% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pyvista/pyvista
```
PyPi (📥 280K / month · 📦 490 · ⏱️ 06.06.2024): pip install pyvista
Conda (📥 490K · ⏱️ 06.06.2024): conda install -c conda-forge pyvista

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GitHub (👨‍💻 120 · 🔀 510 · 📦 590 · 📋 1.5K - 32% open · ⏱️ 06.06.2024):
```
git clone https://github.com/voxel51/fiftyone
```
PyPi (📥 51K / month · 📦 18 · ⏱️ 29.05.2024): pip install fiftyone

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GitHub (👨‍💻 200 · 🔀 620 · 📦 1.5K · 📋 1.5K - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/vispy/vispy
```
PyPi (📥 90K / month · 📦 150 · ⏱️ 14.03.2024): pip install vispy
Conda (📥 500K · ⏱️ 17.05.2024): conda install -c conda-forge vispy
npm (📥 13 / month · 📦 3 · ⏱️ 15.03.2020): npm install vispy

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GitHub (👨‍💻 130 · 🔀 360 · 📦 5K · 📋 1.3K - 24% open · ⏱️ 21.05.2024):
```
git clone https://github.com/SciTools/cartopy
```
PyPi (📥 220K / month · 📦 590 · ⏱️ 10.04.2024): pip install cartopy
Conda (📥 3.6M · ⏱️ 16.05.2024): conda install -c conda-forge cartopy

(🥈34 · ⭐ 3.2K) - Quickly and accurately render even the largest data.

GitHub (👨‍💻 55 · 🔀 360 · 📦 4.2K · 📋 580 - 23% open · ⏱️ 31.05.2024):
```
git clone https://github.com/holoviz/datashader
```
PyPi (📥 120K / month · 📦 180 · ⏱️ 31.05.2024): pip install datashader
Conda (📥 910K · ⏱️ 31.05.2024): conda install -c conda-forge datashader

(🥈33 · ⭐ 7.1K) - Uniform Manifold Approximation and Projection.

GitHub (👨‍💻 130 · 🔀 760 · 📦 1 · 📋 790 - 57% open · ⏱️ 25.04.2024):
```
git clone https://github.com/lmcinnes/umap
```
PyPi (📥 1.4M / month · 📦 830 · ⏱️ 03.04.2024): pip install umap-learn
Conda (📥 2.4M · ⏱️ 04.02.2024): conda install -c conda-forge umap-learn

(🥈32 · ⭐ 10K · 📉) - A little word cloud generator in Python.

GitHub (👨‍💻 72 · 🔀 2.3K · 📦 21 · 📋 540 - 22% open · ⏱️ 09.12.2023):
```
git clone https://github.com/amueller/word_cloud
```
PyPi (📥 2M / month · 📦 500 · ⏱️ 09.12.2023): pip install wordcloud
Conda (📥 490K · ⏱️ 19.03.2024): conda install -c conda-forge wordcloud

(🥈31 · ⭐ 7.7K) - A data visualization and analytics component, especially..

GitHub (👨‍💻 93 · 🔀 1K · 📥 2.9K · 📦 120 · 📋 760 - 13% open · ⏱️ 29.05.2024):
```
git clone https://github.com/finos/perspective
```
PyPi (📥 5.9K / month · 📦 22 · ⏱️ 23.05.2024): pip install perspective-python
Conda (📥 650K · ⏱️ 23.05.2024): conda install -c conda-forge perspective
npm (📥 3.8K / month · 📦 6 · ⏱️ 23.05.2024): npm install @finos/perspective-jupyterlab

(🥈31 · ⭐ 1.5K) - Multiplatform plotting library based on the Grammar of Graphics.

GitHub (👨‍💻 20 · 🔀 47 · 📥 720 · 📦 79 · 📋 560 - 24% open · ⏱️ 06.06.2024):
```
git clone https://github.com/JetBrains/lets-plot
```
PyPi (📥 19K / month · 📦 13 · ⏱️ 29.05.2024): pip install lets-plot

(🥈31 · ⭐ 980) - A high-level plotting API for pandas, dask, xarray, and networkx built on..

GitHub (👨‍💻 46 · 🔀 99 · 📦 5.1K · 📋 760 - 44% open · ⏱️ 06.05.2024):
```
git clone https://github.com/holoviz/hvplot
```
PyPi (📥 240K / month · 📦 170 · ⏱️ 06.05.2024): pip install hvplot
Conda (📥 580K · ⏱️ 07.05.2024): conda install -c conda-forge hvplot

(🥉30 · ⭐ 4.6K) - Visualizer for pandas data structures.

GitHub (👨‍💻 30 · 🔀 380 · 📦 1.1K · 📋 580 - 10% open · ⏱️ 30.04.2024):
```
git clone https://github.com/man-group/dtale
```
PyPi (📥 73K / month · 📦 39 · ⏱️ 30.04.2024): pip install dtale
Conda (📥 290K · ⏱️ 30.04.2024): conda install -c conda-forge dtale

(🥉30 · ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks.

GitHub (👨‍💻 64 · 🔀 460 · 📦 55 · 📋 620 - 41% open · ⏱️ 21.05.2024):
```
git clone https://github.com/bqplot/bqplot
```
PyPi (📥 120K / month · 📦 92 · ⏱️ 25.03.2024): pip install bqplot
Conda (📥 1.3M · ⏱️ 19.02.2024): conda install -c conda-forge bqplot
npm (📥 3K / month · 📦 21 · ⏱️ 25.03.2024): npm install bqplot

(🥉30 · ⭐ 2.3K) - An interactive data visualization tool which brings matplotlib graphics to..

GitHub (👨‍💻 52 · 🔀 360 · 📦 6.1K · 📋 360 - 59% open · ⏱️ 23.12.2023):
```
git clone https://github.com/mpld3/mpld3
```
PyPi (📥 530K / month · 📦 130 · ⏱️ 23.12.2023): pip install mpld3
Conda (📥 200K · ⏱️ 23.12.2023): conda install -c conda-forge mpld3
npm (📥 790 / month · 📦 9 · ⏱️ 23.12.2023): npm install mpld3

(🥉30 · ⭐ 750) - Library for exploring and validating machine learning..

GitHub (👨‍💻 26 · 🔀 170 · 📥 650 · 📦 900 · 📋 180 - 20% open · ⏱️ 03.06.2024):
```
git clone https://github.com/tensorflow/data-validation
```
PyPi (📥 200K / month · 📦 31 · ⏱️ 24.04.2024): pip install tensorflow-data-validation

(🥉28 · ⭐ 1.7K) - Automatically Visualize any dataset, any size with a single line of..

GitHub (👨‍💻 17 · 🔀 200 · 📦 690 · 📋 92 - 2% open · ⏱️ 29.04.2024):
```
git clone https://github.com/AutoViML/AutoViz
```
PyPi (📥 40K / month · 📦 7 · ⏱️ 29.04.2024): pip install autoviz
Conda (📥 52K · ⏱️ 26.04.2024): conda install -c conda-forge autoviz

(🥉26 · ⭐ 2.8K · 💤) - Visualize and compare datasets, target values and associations, with..

GitHub (👨‍💻 11 · 🔀 260 · 📦 2.3K · 📋 130 - 27% open · ⏱️ 29.11.2023):
```
git clone https://github.com/fbdesignpro/sweetviz
```
PyPi (📥 67K / month · 📦 29 · ⏱️ 29.11.2023): pip install sweetviz
Conda (📥 30K · ⏱️ 04.12.2023): conda install -c conda-forge sweetviz

(🥉26 · ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional..

GitHub (👨‍💻 22 · 🔀 160 · 📥 36 · 📦 420 · 📋 200 - 33% open · ⏱️ 19.03.2024):
```
git clone https://github.com/ContextLab/hypertools
```
PyPi (📥 760 / month · 📦 2 · ⏱️ 12.02.2022): pip install hypertools

(🥉26 · ⭐ 1.4K) - Extensible, parallel implementations of t-SNE.

GitHub (👨‍💻 12 · 🔀 160 · 📦 810 · 📋 130 - 3% open · ⏱️ 23.05.2024):
```
git clone https://github.com/pavlin-policar/openTSNE
```
PyPi (📥 39K / month · 📦 43 · ⏱️ 29.11.2023): pip install opentsne
Conda (📥 260K · ⏱️ 19.05.2024): conda install -c conda-forge opentsne

(🥉26 · ⭐ 970) - Visualize large time series data with plotly.py.

GitHub (👨‍💻 12 · 🔀 63 · 📦 1.1K · 📋 160 - 28% open · ⏱️ 27.03.2024):
```
git clone https://github.com/predict-idlab/plotly-resampler
```
PyPi (📥 400K / month · 📦 22 · ⏱️ 27.03.2024): pip install plotly-resampler
Conda (📥 43K · ⏱️ 29.03.2024): conda install -c conda-forge plotly-resampler

(🥉25 · ⭐ 3.5K · 💤) - Python library that makes it easy for data scientists to create..

GitHub (👨‍💻 25 · 🔀 310 · 📦 76 · 📋 80 - 60% open · ⏱️ 12.10.2023):
```
git clone https://github.com/spotify/chartify
```
PyPi (📥 26K / month · 📦 9 · ⏱️ 12.10.2023): pip install chartify
Conda (📥 31K · ⏱️ 16.06.2023): conda install -c conda-forge chartify

(🥉24 · ⭐ 2.7K · 💤) - HiPlot makes understanding high dimensional data easy.

GitHub (👨‍💻 9 · 🔀 140 · 📦 410 · 📋 93 - 21% open · ⏱️ 19.07.2023):
```
git clone https://github.com/facebookresearch/hiplot
```
PyPi (📥 19K / month · 📦 26 · ⏱️ 05.07.2022): pip install hiplot
Conda (📥 190K · ⏱️ 16.06.2023): conda install -c conda-forge hiplot

(🥉24 · ⭐ 710) - Ternary plotting library for python with matplotlib.

GitHub (👨‍💻 27 · 🔀 160 · 📥 25 · 📦 170 · 📋 140 - 24% open · ⏱️ 07.03.2024):
```
git clone https://github.com/marcharper/python-ternary
```
PyPi (📥 35K / month · 📦 30 · ⏱️ 17.02.2021): pip install python-ternary
Conda (📥 82K · ⏱️ 16.06.2023): conda install -c conda-forge python-ternary

(🥉23 · ⭐ 1.9K) - Parallel t-SNE implementation with Python and Torch..

GitHub (👨‍💻 18 · 🔀 230 · 📦 450 · 📋 69 - 65% open · ⏱️ 06.02.2024):
```
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
PyPi (📥 2.6K / month · 📦 22 · ⏱️ 09.01.2019): pip install MulticoreTSNE
Conda (📥 37K · ⏱️ 11.10.2023): conda install -c conda-forge multicore-tsne

(🥉21 · ⭐ 370) - IPython/Jupyter notebook module for Vega and Vega-Lite.

GitHub (👨‍💻 15 · 🔀 65 · 📦 4 · 📋 110 - 19% open · ⏱️ 01.05.2024):
```
git clone https://github.com/vega/ipyvega
```
PyPi (📥 21K / month · 📦 14 · ⏱️ 12.04.2023): pip install vega
Conda (📥 600K · ⏱️ 18.05.2024): conda install -c conda-forge vega

(🥉20 · ⭐ 830 · 💤) - python partial dependence plot toolbox.

GitHub (👨‍💻 7 · 🔀 130 · 📋 67 - 41% open · ⏱️ 05.06.2023):
```
git clone https://github.com/SauceCat/PDPbox
```
PyPi (📥 21K / month · 📦 26 · ⏱️ 14.03.2021): pip install pdpbox
Conda (📥 21K · ⏱️ 10.06.2023): conda install -c conda-forge pdpbox

(🥉20 · ⭐ 490 · 💤) - Monitor the stability of a Pandas or Spark dataframe.

GitHub (👨‍💻 17 · 🔀 35 · 📥 150 · 📦 20 · 📋 55 - 27% open · ⏱️ 18.07.2023):
```
git clone https://github.com/ing-bank/popmon
```
PyPi (📥 10K / month · 📦 2 · ⏱️ 18.07.2023): pip install popmon

(🥉18 · ⭐ 320 · 💤) - Dimensionality reduction in very large datasets using Siamese..

GitHub (👨‍💻 10 · 🔀 43 · 📦 32 · 📋 60 - 6% open · ⏱️ 09.11.2023):
```
git clone https://github.com/beringresearch/ivis
```
PyPi (📥 1.1K / month · 📦 2 · ⏱️ 10.03.2022): pip install ivis

Show 15 hidden projects…

(🥉29 · ⭐ 3.8K · 💀) - Missing data visualization module for Python.

(🥉29 · ⭐ 3K · 💀) - Productivity Tools for Plotly + Pandas.

(🥉28 · ⭐ 7.3K · 💀) - Visualizations for machine learning datasets.

(🥉27 · ⭐ 930 · 💀) - A Jupyter - Three.js bridge.

(🥉24 · ⭐ 880 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas.

(🥉23 · ⭐ 3.1K) - A GUI for Pandas DataFrames.

(🥉22 · ⭐ 680 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython..

(🥉21 · ⭐ 540 · 💀) - Joyplots in Python with matplotlib & pandas.

(🥉21 · ⭐ 300) - Serverside scaling for Vega and Altair visualizations.

(🥉20 · ⭐ 570 · 💀) - Make Waffle Charts in Python.

(🥉18 · ⭐ 400 · 💀) - A python package for animating plots build on matplotlib.

(🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite.

(🥉15 · ⭐ 290 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science.

(🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair.

(🥉12 · ⭐ 32 · 💀) - nptsne is a numpy compatible python binary package that offers a..

Text Data & NLP

Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation.

(🥇52 · ⭐ 130K) - Transformers: State-of-the-art Machine Learning for..

GitHub (👨‍💻 2.6K · 🔀 25K · 📦 180K · 📋 15K - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/transformers
```
PyPi (📥 29M / month · 📦 5.2K · ⏱️ 30.05.2024): pip install transformers
Conda (📥 1.7M · ⏱️ 31.05.2024): conda install -c conda-forge transformers

(🥇44 · ⭐ 29K) - Industrial-strength Natural Language Processing (NLP) in Python.

GitHub (👨‍💻 750 · 🔀 4.3K · 📦 90K · 📋 5.6K - 2% open · ⏱️ 31.05.2024):
```
git clone https://github.com/explosion/spaCy
```
PyPi (📥 13M / month · 📦 2.4K · ⏱️ 05.06.2024): pip install spacy
Conda (📥 3.5M · ⏱️ 05.06.2024): conda install -c conda-forge spacy

(🥇42 · ⭐ 9.5K) - Call all LLM APIs using the OpenAI format. Use.. o t h e r s

GitHub (👨‍💻 250 · 🔀 1K · 📥 250 · 📦 2K · 📋 2.5K - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/BerriAI/litellm
```
PyPi (📥 610K / month · 📦 220 · ⏱️ 06.06.2024): pip install litellm

(🥇41 · ⭐ 14K) - Multilingual Sentence & Image Embeddings with BERT.

GitHub (👨‍💻 170 · 🔀 2.4K · 📦 35K · 📋 2K - 53% open · ⏱️ 06.06.2024):
```
git clone https://github.com/UKPLab/sentence-transformers
```
PyPi (📥 4.3M / month · 📦 1.3K · ⏱️ 28.05.2024): pip install sentence-transformers
Conda (📥 260K · ⏱️ 28.05.2024): conda install -c conda-forge sentence-transformers

(🥇41 · ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural..

GitHub (👨‍💻 450 · 🔀 2.8K · 📦 280K · 📋 1.8K - 15% open · ⏱️ 05.04.2024):
```
git clone https://github.com/nltk/nltk
```
PyPi (📥 20M / month · 📦 4.3K · ⏱️ 20.07.2023): pip install nltk
Conda (📥 2.6M · ⏱️ 16.06.2023): conda install -c conda-forge nltk

(🥇40 · ⭐ 8.6K) - Fast State-of-the-Art Tokenizers optimized for Research and..

GitHub (👨‍💻 88 · 🔀 740 · 📥 47 · 📦 81K · 📋 960 - 6% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/tokenizers
```
PyPi (📥 26M / month · 📦 750 · ⏱️ 17.04.2024): pip install tokenizers
Conda (📥 1.7M · ⏱️ 18.04.2024): conda install -c conda-forge tokenizers

(🥇39 · ⭐ 15K) - Topic Modelling for Humans.

GitHub (👨‍💻 450 · 🔀 4.3K · 📥 4.6K · 📦 60K · 📋 1.8K - 20% open · ⏱️ 02.06.2024):
```
git clone https://github.com/RaRe-Technologies/gensim
```
PyPi (📥 4.7M / month · 📦 1.3K · ⏱️ 24.08.2023): pip install gensim
Conda (📥 1.3M · ⏱️ 08.02.2024): conda install -c conda-forge gensim

(🥇38 · ⭐ 18K) - Open source machine learning framework to automate text- and voice-..

GitHub (👨‍💻 590 · 🔀 4.5K · 📦 4.2K · 📋 6.8K - 1% open · ⏱️ 21.03.2024):
```
git clone https://github.com/RasaHQ/rasa
```
PyPi (📥 120K / month · 📦 59 · ⏱️ 18.04.2024): pip install rasa

(🥇38 · ⭐ 9.7K) - Unsupervised text tokenizer for Neural Network-based text..

GitHub (👨‍💻 88 · 🔀 1.1K · 📥 38K · 📦 67K · 📋 720 - 3% open · ⏱️ 04.06.2024):
```
git clone https://github.com/google/sentencepiece
```
PyPi (📥 21M / month · 📦 1.5K · ⏱️ 19.02.2024): pip install sentencepiece
Conda (📥 820K · ⏱️ 27.05.2024): conda install -c conda-forge sentencepiece

(🥇37 · ⭐ 14K · 📉) - A very simple framework for state-of-the-art Natural Language..

GitHub (👨‍💻 260 · 🔀 2.1K · 📦 3.3K · 📋 2.3K - 3% open · ⏱️ 24.05.2024):
```
git clone https://github.com/flairNLP/flair
```
PyPi (📥 290K / month · 📦 130 · ⏱️ 18.12.2023): pip install flair
Conda (📥 25K · ⏱️ 05.01.2024): conda install -c conda-forge python-flair

(🥇37 · ⭐ 9K) - Simple, Pythonic, text processing–Sentiment analysis, part-of-speech..

GitHub (👨‍💻 37 · 🔀 1.1K · 📥 120 · 📦 39K · 📋 280 - 39% open · ⏱️ 05.06.2024):
```
git clone https://github.com/sloria/TextBlob
```
PyPi (📥 1.1M / month · 📦 340 · ⏱️ 22.10.2021): pip install textblob
Conda (📥 250K · ⏱️ 16.06.2023): conda install -c conda-forge textblob

(🥈36 · ⭐ 14K) - LLM orchestration framework to build customizable, production-ready..

GitHub (👨‍💻 240 · 🔀 1.7K · 📥 24 · 📦 290 · 📋 3.3K - 3% open · ⏱️ 06.06.2024):
```
git clone https://github.com/deepset-ai/haystack
```
PyPi (📥 4.6K / month · 📦 5 · ⏱️ 15.12.2021): pip install haystack

(🥈35 · ⭐ 30K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

GitHub (👨‍💻 420 · 🔀 6.3K · 📥 330 · 📦 3.2K · 📋 4.3K - 29% open · ⏱️ 30.05.2024):
```
git clone https://github.com/facebookresearch/fairseq
```
PyPi (📥 270K / month · 📦 110 · ⏱️ 27.06.2022): pip install fairseq
Conda (📥 69K · ⏱️ 17.05.2024): conda install -c conda-forge fairseq

(🥈35 · ⭐ 10K) - A scalable generative AI framework built for researchers and..

GitHub (👨‍💻 320 · 🔀 2.2K · 📥 180K · 📦 21 · 📋 2.2K - 6% open · ⏱️ 06.06.2024):
```
git clone https://github.com/NVIDIA/NeMo
```
PyPi (📥 49K / month · 📦 13 · ⏱️ 06.06.2024): pip install nemo-toolkit

(🥈35 · ⭐ 6.6K) - Open Source Neural Machine Translation and (Large) Language Models..

GitHub (👨‍💻 190 · 🔀 2.2K · 📦 280 · 📋 1.4K - 1% open · ⏱️ 15.05.2024):
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
PyPi (📥 11K / month · 📦 18 · ⏱️ 18.03.2024): pip install OpenNMT-py

(🥈35 · ⭐ 3.7K) - State of the Art Natural Language Processing.

GitHub (👨‍💻 110 · 🔀 700 · 📦 440 · 📋 880 - 5% open · ⏱️ 27.05.2024):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
PyPi (📥 4.2M / month · 📦 37 · ⏱️ 05.06.2024): pip install spark-nlp

(🥈34 · ⭐ 26K) - Library for fast text representation and classification.

GitHub (👨‍💻 68 · 🔀 4.7K · 📦 6K · 📋 1.2K - 47% open · ⏱️ 13.03.2024):
```
git clone https://github.com/facebookresearch/fastText
```
PyPi (📥 1.3M / month · 📦 230 · ⏱️ 28.04.2020): pip install fasttext
Conda (📥 83K · ⏱️ 19.05.2024): conda install -c conda-forge fasttext

(🥈34 · ⭐ 7.1K) - Stanford NLP Python library for tokenization, sentence segmentation,..

GitHub (👨‍💻 68 · 🔀 870 · 📦 2.8K · 📋 880 - 10% open · ⏱️ 20.04.2024):
```
git clone https://github.com/stanfordnlp/stanza
```
PyPi (📥 310K / month · 📦 170 · ⏱️ 20.04.2024): pip install stanza
Conda (📥 7.4K · ⏱️ 16.06.2023): conda install -c stanfordnlp stanza

(🥈34 · ⭐ 3.5K) - Models, data loaders and abstractions for language processing,..

GitHub (👨‍💻 160 · 🔀 810 · 📋 840 - 38% open · ⏱️ 24.04.2024):
```
git clone https://github.com/pytorch/text
```
PyPi (📥 680K / month · 📦 260 · ⏱️ 24.04.2024): pip install torchtext

(🥈34 · ⭐ 2K) - a python library for doing approximate and phonetic matching of strings.

GitHub (👨‍💻 31 · 🔀 160 · 📦 9.1K · 📋 130 - 3% open · ⏱️ 28.05.2024):
```
git clone https://github.com/jamesturk/jellyfish
```
PyPi (📥 4.2M / month · 📦 240 · ⏱️ 28.05.2024): pip install jellyfish
Conda (📥 880K · ⏱️ 29.05.2024): conda install -c conda-forge jellyfish

(🥈34 · ⭐ 1.2K) - Making text a first-class citizen in TensorFlow.

GitHub (👨‍💻 120 · 🔀 330 · 📦 6.9K · 📋 340 - 49% open · ⏱️ 04.06.2024):
```
git clone https://github.com/tensorflow/text
```
PyPi (📥 7M / month · 📦 200 · ⏱️ 11.03.2024): pip install tensorflow-text

(🥈33 · ⭐ 18K) - Qdrant - High-performance, massive-scale Vector Database for the next..

GitHub (👨‍💻 110 · 🔀 1.2K · 📥 43K · 📦 110 · 📋 1.1K - 20% open · ⏱️ 28.05.2024):
```
git clone https://github.com/qdrant/qdrant
```

(🥈33 · ⭐ 3.2K) - Argilla is a collaboration platform for AI engineers and domain..

GitHub (👨‍💻 89 · 🔀 310 · 📦 2.5K · 📋 2K - 8% open · ⏱️ 03.06.2024):
```
git clone https://github.com/recognai/rubrix
```
PyPi (📥 500 / month · ⏱️ 24.10.2022): pip install rubrix
Conda (📥 31K · ⏱️ 16.06.2023): conda install -c conda-forge rubrix

(🥈32 · ⭐ 10K · 💤) - A framework for training and evaluating AI models on a variety of..

GitHub (👨‍💻 220 · 🔀 2.1K · 📦 240 · 📋 1.5K - 3% open · ⏱️ 03.11.2023):
```
git clone https://github.com/facebookresearch/ParlAI
```
PyPi (📥 2.5K / month · 📦 5 · ⏱️ 20.09.2022): pip install parlai

(🥈32 · ⭐ 3.7K) - Fixes mojibake and other glitches in Unicode text, after the fact.

GitHub (👨‍💻 18 · 🔀 120 · 📦 20K · 📋 140 - 13% open · ⏱️ 15.03.2024):
```
git clone https://github.com/rspeer/python-ftfy
```
PyPi (📥 5.1M / month · 📦 500 · ⏱️ 15.03.2024): pip install ftfy
Conda (📥 290K · ⏱️ 22.11.2023): conda install -c conda-forge ftfy

(🥈31 · ⭐ 6.6K) - An open source library for deep learning end-to-end dialog..

GitHub (👨‍💻 77 · 🔀 1.1K · 📦 390 · 📋 640 - 3% open · ⏱️ 13.03.2024):
```
git clone https://github.com/deepmipt/DeepPavlov
```
PyPi (📥 10K / month · 📦 4 · ⏱️ 13.03.2024): pip install deeppavlov

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GitHub (👨‍💻 15 · 🔀 240 · 📥 1K · 📦 6.4K · ⏱️ 24.04.2024):
```
git clone https://github.com/life4/textdistance
```
PyPi (📥 810K / month · 📦 93 · ⏱️ 24.04.2024): pip install textdistance
Conda (📥 560K · ⏱️ 25.04.2024): conda install -c conda-forge textdistance

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GitHub (👨‍💻 22 · 🔀 160 · 📦 1.7K · ⏱️ 05.06.2024):
```
git clone https://github.com/explosion/spacy-transformers
```
PyPi (📥 280K / month · 📦 51 · ⏱️ 25.04.2024): pip install spacy-transformers
Conda (📥 37K · ⏱️ 19.12.2023): conda install -c conda-forge spacy-transformers

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GitHub (👨‍💻 34 · 🔀 170 · 📦 5 · 📋 88 - 30% open · ⏱️ 02.05.2024):
```
git clone https://github.com/snowballstem/snowball
```
PyPi (📥 15M / month · 📦 410 · ⏱️ 16.11.2021): pip install snowballstemmer
Conda (📥 8.1M · ⏱️ 16.06.2023): conda install -c conda-forge snowballstemmer

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GitHub (👨‍💻 70 · 🔀 540 · 📦 330 · 📋 810 - 9% open · ⏱️ 19.12.2023):
```
git clone https://github.com/dedupeio/dedupe
```
PyPi (📥 67K / month · 📦 18 · ⏱️ 17.02.2023): pip install dedupe
Conda (📥 52K · ⏱️ 16.06.2023): conda install -c conda-forge dedupe

(🥈29 · ⭐ 3.4K) - Module for automatic summarization of text documents and HTML pages.

GitHub (👨‍💻 32 · 🔀 520 · 📦 2.8K · 📋 120 - 17% open · ⏱️ 16.05.2024):
```
git clone https://github.com/miso-belica/sumy
```
PyPi (📥 530K / month · 📦 27 · ⏱️ 23.10.2022): pip install sumy
Conda (📥 8.1K · ⏱️ 16.06.2023): conda install -c conda-forge sumy

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GitHub (👨‍💻 33 · 🔀 220 · 📦 910 · 📋 310 - 10% open · ⏱️ 30.03.2024):
```
git clone https://github.com/allenai/scispacy
```
PyPi (📥 26K / month · 📦 34 · ⏱️ 08.03.2024): pip install scispacy

(🥈28 · ⭐ 820) - The Classical Language Toolkit.

GitHub (👨‍💻 120 · 🔀 320 · 📥 64 · 📦 260 · 📋 570 - 6% open · ⏱️ 12.05.2024):
```
git clone https://github.com/cltk/cltk
```
PyPi (📥 1.9K / month · 📦 15 · ⏱️ 12.05.2024): pip install cltk

(🥉27 · ⭐ 3.1K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and..

GitHub (👨‍💻 31 · 🔀 640 · 📦 21 · 📋 490 - 0% open · ⏱️ 03.06.2024):
```
git clone https://github.com/zjunlp/deepke
```
PyPi (📥 440 / month · ⏱️ 21.09.2023): pip install deepke

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GitHub (👨‍💻 48 · 🔀 1.1K · 📋 330 - 20% open · ⏱️ 12.10.2023):
```
git clone https://github.com/Ciphey/Ciphey
```
PyPi (📥 41K / month · ⏱️ 06.06.2021): pip install ciphey
Docker Hub (📥 24K · ⭐ 17 · ⏱️ 14.10.2023): docker pull remnux/ciphey

(🥉26 · ⭐ 2.2K) - Beautiful visualizations of how language differs among document..

GitHub (👨‍💻 14 · 🔀 280 · 📦 560 · 📋 100 - 21% open · ⏱️ 06.03.2024):
```
git clone https://github.com/JasonKessler/scattertext
```
PyPi (📥 12K / month · 📦 5 · ⏱️ 06.03.2024): pip install scattertext
Conda (📥 90K · ⏱️ 16.06.2023): conda install -c conda-forge scattertext

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GitHub (👨‍💻 19 · 🔀 340 · 📦 660 · 📋 100 - 8% open · ⏱️ 21.05.2024):
```
git clone https://github.com/DerwenAI/pytextrank
```
PyPi (📥 42K / month · 📦 18 · ⏱️ 21.02.2024): pip install pytextrank

(🥉24 · ⭐ 2.5K · 💤) - Toolkit for creating, sharing and using natural language..

GitHub (👨‍💻 65 · 🔀 340 · 📦 96 · 📋 190 - 22% open · ⏱️ 23.10.2023):
```
git clone https://github.com/bigscience-workshop/promptsource
```
PyPi (📥 640 / month · 📦 4 · ⏱️ 18.04.2022): pip install promptsource

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GitHub (👨‍💻 18 · 🔀 250 · 📦 690 · 📋 69 - 27% open · ⏱️ 04.07.2023):
```
git clone https://github.com/PetrochukM/PyTorch-NLP
```
PyPi (📥 5.2K / month · 📦 19 · ⏱️ 04.11.2019): pip install pytorch-nlp

(🥉24 · ⭐ 870) - Trained models & code to predict toxic comments on all 3 Jigsaw..

GitHub (👨‍💻 12 · 🔀 110 · 📥 500K · 📦 600 · 📋 62 - 56% open · ⏱️ 16.05.2024):
```
git clone https://github.com/unitaryai/detoxify
```
PyPi (📥 30K / month · 📦 15 · ⏱️ 01.02.2024): pip install detoxify

(🥉23 · ⭐ 6K) - Code for the paper Exploring the Limits of Transfer Learning with a..

GitHub (👨‍💻 59 · 🔀 740 · 📋 450 - 23% open · ⏱️ 23.01.2024):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
PyPi (📥 38K / month · 📦 2 · ⏱️ 18.10.2021): pip install t5

(🥉23 · ⭐ 2.9K · 💤) - Text preprocessing, representation and visualization from zero to..

GitHub (👨‍💻 21 · 🔀 240 · 📥 120 · 📋 140 - 55% open · ⏱️ 29.08.2023):
```
git clone https://github.com/jbesomi/texthero
```
PyPi (📥 8.8K / month · 📦 6 · ⏱️ 01.07.2021): pip install texthero

(🥉22 · ⭐ 510) - Happy Transformer makes it easy to fine-tune and.. huggingface

GitHub (👨‍💻 14 · 🔀 67 · 📦 260 · 📋 130 - 14% open · ⏱️ 19.03.2024):
```
git clone https://github.com/EricFillion/happy-transformer
```
PyPi (📥 2.5K / month · 📦 5 · ⏱️ 05.08.2023): pip install happytransformer

(🥉21 · ⭐ 1.8K) - Super easy library for BERT based NLP models.

GitHub (👨‍💻 36 · 🔀 340 · 📋 260 - 63% open · ⏱️ 30.01.2024):
```
git clone https://github.com/utterworks/fast-bert
```
PyPi (📥 790 / month · ⏱️ 30.01.2024): pip install fast-bert

(🥉21 · ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine..

GitHub (👨‍💻 60 · 🔀 330 · 📥 18 · 📋 310 - 3% open · ⏱️ 22.05.2024):
```
git clone https://github.com/awslabs/sockeye
```
PyPi (📥 1K / month · ⏱️ 03.03.2023): pip install sockeye

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GitHub (👨‍💻 23 · 🔀 80 · 📦 11 · 📋 140 - 15% open · ⏱️ 27.03.2024):
```
git clone https://github.com/IndicoDataSolutions/finetune
```
PyPi (📥 150 / month · 📦 2 · ⏱️ 29.09.2023): pip install finetune

(🥉20 · ⭐ 930) - Pocket-Sized Multimodal AI for content understanding and..

GitHub (👨‍💻 14 · 🔀 56 · 📥 290 · 📦 6 · 📋 24 - 20% open · ⏱️ 25.04.2024):
```
git clone https://github.com/unum-cloud/uform
```
PyPi (📥 730 / month · 📦 1 · ⏱️ 25.04.2024): pip install uform

(🥉20 · ⭐ 520) - Active Learning for Text Classification in Python.

GitHub (👨‍💻 6 · 🔀 57 · 📦 28 · 📋 54 - 29% open · ⏱️ 29.12.2023):
```
git clone https://github.com/webis-de/small-text
```
PyPi (📥 720 / month · ⏱️ 29.12.2023): pip install small-text
Conda (📥 6.3K · ⏱️ 29.12.2023): conda install -c conda-forge small-text

(🥉18 · ⭐ 380 · 💤) - TextAugment: Text Augmentation Library.

GitHub (👨‍💻 8 · 🔀 59 · 📥 69 · 📦 99 · 📋 29 - 37% open · ⏱️ 17.11.2023):
```
git clone https://github.com/dsfsi/textaugment
```
PyPi (📥 5K / month · 📦 4 · ⏱️ 16.11.2023): pip install textaugment

(🥉17 · ⭐ 4.3K) - An Open-Source Package for Neural Relation Extraction (NRE).

GitHub (👨‍💻 13 · 🔀 1.1K · 📦 3 · 📋 370 - 4% open · ⏱️ 10.01.2024):
```
git clone https://github.com/thunlp/OpenNRE
```

(🥉15 · ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,..

GitHub (👨‍💻 4 · 🔀 61 · 📦 9 · 📋 16 - 43% open · ⏱️ 21.04.2024):
```
git clone https://github.com/facebookresearch/vizseq
```
PyPi (📥 130 / month · ⏱️ 07.08.2020): pip install vizseq

Show 51 hidden projects…

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Image Data

Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification.

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GitHub (👨‍💻 470 · 🔀 2.1K · 📦 1.7M · 📋 3.1K - 3% open · ⏱️ 06.06.2024):
```
git clone https://github.com/python-pillow/Pillow
```
PyPi (📥 99M / month · 📦 4.2K · ⏱️ 01.04.2024): pip install Pillow
Conda (📥 40M · ⏱️ 03.04.2024): conda install -c conda-forge pillow

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GitHub (👨‍💻 600 · 🔀 6.9K · 📥 38K · 📦 21 · 📋 3.4K - 29% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/vision
```
PyPi (📥 13M / month · 📦 5K · ⏱️ 05.06.2024): pip install torchvision
Conda (📥 1.2M · ⏱️ 16.05.2024): conda install -c conda-forge torchvision

(🥇41 · ⭐ 30K) - The largest collection of PyTorch image encoders /..

GitHub (👨‍💻 140 · 🔀 4.6K · 📥 6.6M · 📦 30K · 📋 880 - 6% open · ⏱️ 27.05.2024):
```
git clone https://github.com/rwightman/pytorch-image-models
```
PyPi (📥 5.1M / month · 📦 760 · ⏱️ 15.05.2024): pip install timm
Conda (📥 160K · ⏱️ 16.05.2024): conda install -c conda-forge timm

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GitHub (👨‍💻 480 · 🔀 9.2K · 📦 2.6K · 📋 8.3K - 19% open · ⏱️ 05.02.2024):
```
git clone https://github.com/open-mmlab/mmdetection
```
PyPi (📥 260K / month · 📦 64 · ⏱️ 05.01.2024): pip install mmdet

(🥇38 · ⭐ 14K) - Fast and flexible image augmentation library. Paper about..

GitHub (👨‍💻 140 · 🔀 1.6K · 📦 24K · 📋 960 - 44% open · ⏱️ 06.06.2024):
```
git clone https://github.com/albumentations-team/albumentations
```
PyPi (📥 2.1M / month · 📦 510 · ⏱️ 28.05.2024): pip install albumentations
Conda (📥 170K · ⏱️ 05.03.2024): conda install -c conda-forge albumentations

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GitHub (👨‍💻 160 · 🔀 1.5K · 📦 40K · 📋 1.5K - 28% open · ⏱️ 27.05.2024):
```
git clone https://github.com/Zulko/moviepy
```
PyPi (📥 1.2M / month · 📦 820 · ⏱️ 15.12.2021): pip install moviepy
Conda (📥 250K · ⏱️ 16.06.2023): conda install -c conda-forge moviepy

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GitHub (👨‍💻 260 · 🔀 940 · 📥 1.1K · 📦 10K · 📋 910 - 29% open · ⏱️ 28.05.2024):
```
git clone https://github.com/kornia/kornia
```
PyPi (📥 1.4M / month · 📦 240 · ⏱️ 14.03.2024): pip install kornia
Conda (📥 130K · ⏱️ 20.02.2024): conda install -c conda-forge kornia

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GitHub (👨‍💻 110 · 🔀 290 · 📥 1.1K · 📦 130K · 📋 600 - 17% open · ⏱️ 03.06.2024):
```
git clone https://github.com/imageio/imageio
```
PyPi (📥 22M / month · 📦 2.2K · ⏱️ 22.04.2024): pip install imageio
Conda (📥 6.4M · ⏱️ 22.04.2024): conda install -c conda-forge imageio

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GitHub (👨‍💻 62 · 🔀 1.9K · 📦 3.3K · 📋 1K - 0% open · ⏱️ 06.06.2024):
```
git clone https://github.com/serengil/deepface
```
PyPi (📥 66K / month · 📦 36 · ⏱️ 02.05.2024): pip install deepface

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```
git clone https://github.com/deepinsight/insightface
```
PyPi (📥 360K / month · 📦 22 · ⏱️ 17.12.2022): pip install insightface

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GitHub (👨‍💻 48 · 🔀 800 · 📦 400K · 📋 780 - 14% open · ⏱️ 03.06.2024):
```
git clone https://github.com/opencv/opencv-python
```
PyPi (📥 15M / month · 📦 9.5K · ⏱️ 03.06.2024): pip install opencv-python

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GitHub (👨‍💻 270 · 🔀 7.3K · 📦 1.8K · 📋 3.5K - 13% open · ⏱️ 06.06.2024):
```
git clone https://github.com/facebookresearch/detectron2
```
PyPi (📦 11 · ⏱️ 06.02.2020): pip install detectron2
Conda (📥 280K · ⏱️ 19.05.2024): conda install -c conda-forge detectron2

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GitHub (👨‍💻 100 · 🔀 200 · 📥 47K · 📦 19K · 📋 420 - 6% open · ⏱️ 11.02.2024):
```
git clone https://github.com/emcconville/wand
```
PyPi (📥 870K / month · 📦 240 · ⏱️ 03.11.2023): pip install wand
Conda (📥 49K · ⏱️ 16.06.2023): conda install -c conda-forge wand

(🥈31 · ⭐ 8.5K) - A python library built to empower developers to build applications and..

GitHub (👨‍💻 19 · 🔀 2.2K · 📥 930K · 📦 1.6K · 📋 760 - 40% open · ⏱️ 20.02.2024):
```
git clone https://github.com/OlafenwaMoses/ImageAI
```
PyPi (📥 11K / month · 📦 19 · ⏱️ 02.01.2023): pip install imageai
Conda (📥 7.2K · ⏱️ 16.06.2023): conda install -c conda-forge imageai

(🥈31 · ⭐ 8.4K) - Easy-to-use image segmentation library with awesome pre-..

GitHub (👨‍💻 120 · 🔀 1.6K · 📦 1.2K · 📋 2.1K - 10% open · ⏱️ 20.05.2024):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
PyPi (📥 2.4K / month · 📦 7 · ⏱️ 30.11.2022): pip install paddleseg

(🥈31 · ⭐ 2.8K) - A python library for self-supervised learning on images.

GitHub (👨‍💻 40 · 🔀 240 · 📦 260 · 📋 520 - 19% open · ⏱️ 05.06.2024):
```
git clone https://github.com/lightly-ai/lightly
```
PyPi (📥 32K / month · 📦 13 · ⏱️ 29.05.2024): pip install lightly

(🥈30 · ⭐ 18K) - Implementation of Vision Transformer, a simple way to achieve..

GitHub (👨‍💻 21 · 🔀 2.8K · 📦 480 · 📋 260 - 46% open · ⏱️ 11.05.2024):
```
git clone https://github.com/lucidrains/vit-pytorch
```
PyPi (📥 23K / month · 📦 11 · ⏱️ 11.05.2024): pip install vit-pytorch

(🥈30 · ⭐ 3.7K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis..

GitHub (👨‍💻 47 · 🔀 540 · 📥 25K · 📦 1.1K · ⏱️ 02.06.2024):
```
git clone https://github.com/obss/sahi
```
PyPi (📥 120K / month · 📦 25 · ⏱️ 20.05.2024): pip install sahi
Conda (📥 60K · ⏱️ 21.05.2024): conda install -c conda-forge sahi

(🥈30 · ⭐ 3K) - A Python Perceptual Image Hashing Module.

GitHub (👨‍💻 26 · 🔀 320 · 📦 13K · 📋 140 - 10% open · ⏱️ 26.05.2024):
```
git clone https://github.com/JohannesBuchner/imagehash
```
PyPi (📥 1.7M / month · 📦 220 · ⏱️ 28.09.2022): pip install ImageHash
Conda (📥 370K · ⏱️ 16.06.2023): conda install -c conda-forge imagehash

(🥈29 · ⭐ 3.2K) - docTR (Document Text Recognition) - a seamless, high-..

GitHub (👨‍💻 46 · 🔀 380 · 📥 3M · 📋 350 - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/mindee/doctr
```
PyPi (📥 30K / month · 📦 7 · ⏱️ 04.03.2024): pip install python-doctr

(🥈29 · ⭐ 830) - Computer Vision in Python.

GitHub (👨‍💻 35 · 🔀 150 · 📦 1.3K · 📋 89 - 22% open · ⏱️ 22.05.2024):
```
git clone https://github.com/luispedro/mahotas
```
PyPi (📥 15K / month · 📦 60 · ⏱️ 17.04.2024): pip install mahotas
Conda (📥 420K · ⏱️ 18.05.2024): conda install -c conda-forge mahotas

(🥉28 · ⭐ 6.9K · 💤) - 2D and 3D Face alignment library build using pytorch.

GitHub (👨‍💻 26 · 🔀 1.3K · 📦 21 · 📋 320 - 24% open · ⏱️ 16.08.2023):
```
git clone https://github.com/1adrianb/face-alignment
```
PyPi (📥 70K / month · 📦 9 · ⏱️ 17.08.2023): pip install face-alignment

(🥉28 · ⭐ 4.2K) - Pretrained Pytorch face detection (MTCNN) and facial..

GitHub (👨‍💻 17 · 🔀 920 · 📥 1M · 📦 1.8K · 📋 180 - 39% open · ⏱️ 05.04.2024):
```
git clone https://github.com/timesler/facenet-pytorch
```
PyPi (📥 63K / month · 📦 30 · ⏱️ 29.04.2024): pip install facenet-pytorch

(🥉27 · ⭐ 12K) - Object Detection toolkit based on PaddlePaddle. It..

GitHub (👨‍💻 160 · 🔀 2.8K · 📋 5.3K - 22% open · ⏱️ 22.05.2024):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
PyPi (📥 670 / month · 📦 2 · ⏱️ 19.09.2022): pip install paddledet

(🥉27 · ⭐ 3.2K · 💤) - A High-performance cross-platform Video Processing Python..

GitHub (👨‍💻 14 · 🔀 240 · 📥 1.4K · 📦 560 · 📋 280 - 3% open · ⏱️ 10.09.2023):
```
git clone https://github.com/abhiTronix/vidgear
```
PyPi (📥 16K / month · 📦 13 · ⏱️ 10.09.2023): pip install vidgear

(🥉27 · ⭐ 870) - An open-source application for biological image analysis.

GitHub (👨‍💻 140 · 🔀 370 · 📥 7K · 📦 20 · 📋 3.3K - 9% open · ⏱️ 01.05.2024):
```
git clone https://github.com/CellProfiler/CellProfiler
```
PyPi (📥 450 / month · 📦 2 · ⏱️ 14.08.2023): pip install cellprofiler

(🥉26 · ⭐ 3.2K) - A deep learning library for video understanding research.

GitHub (👨‍💻 55 · 🔀 390 · 📋 200 - 50% open · ⏱️ 03.03.2024):
```
git clone https://github.com/facebookresearch/pytorchvideo
```
PyPi (📥 67K / month · 📦 23 · ⏱️ 20.01.2022): pip install pytorchvideo

(🥉26 · ⭐ 2.3K) - Lightweight Python library for adding real-time multi-object tracking..

GitHub (👨‍💻 31 · 🔀 230 · 📥 310 · 📦 190 · 📋 160 - 10% open · ⏱️ 30.01.2024):
```
git clone https://github.com/tryolabs/norfair
```
PyPi (📥 18K / month · 📦 4 · ⏱️ 30.05.2022): pip install norfair

(🥉25 · ⭐ 2.8K) - FFCV: Fast Forward Computer Vision (and other ML workloads!).

GitHub (👨‍💻 31 · 🔀 170 · 📦 45 · 📋 270 - 34% open · ⏱️ 06.05.2024):
```
git clone https://github.com/libffcv/ffcv
```
PyPi (📥 1.2K / month · 📦 1 · ⏱️ 28.01.2022): pip install ffcv

(🥉25 · ⭐ 600) - python binding for libvips using cffi.

GitHub (👨‍💻 16 · 🔀 50 · 📦 730 · 📋 420 - 42% open · ⏱️ 28.04.2024):
```
git clone https://github.com/libvips/pyvips
```
PyPi (📥 46K / month · 📦 73 · ⏱️ 28.04.2024): pip install pyvips
Conda (📥 87K · ⏱️ 28.04.2024): conda install -c conda-forge pyvips

(🥉24 · ⭐ 5.4K) - A modular framework for vision & language multimodal research from..

GitHub (👨‍💻 120 · 🔀 920 · 📦 17 · 📋 690 - 21% open · ⏱️ 25.05.2024):
```
git clone https://github.com/facebookresearch/mmf
```
PyPi (📥 200 / month · 📦 1 · ⏱️ 12.06.2020): pip install mmf

(🥉24 · ⭐ 2.2K) - A data generation pipeline for creating semi-realistic synthetic..

GitHub (👨‍💻 30 · 🔀 210 · 📦 4 · 📋 190 - 32% open · ⏱️ 06.06.2024):
```
git clone https://github.com/google-research/kubric
```
PyPi (📥 2.3K / month · ⏱️ 27.12.2023): pip install kubric-nightly

(🥉23 · ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers..

GitHub (👨‍💻 39 · 🔀 360 · 📋 240 - 61% open · ⏱️ 13.03.2024):
```
git clone https://github.com/tensorflow/graphics
```
PyPi (📥 37K / month · 📦 11 · ⏱️ 03.12.2021): pip install tensorflow-graphics

(🥉21 · ⭐ 6.3K · 💤) - PySlowFast: video understanding codebase from FAIR for..

GitHub (👨‍💻 31 · 🔀 1.2K · 📦 16 · 📋 680 - 57% open · ⏱️ 19.10.2023):
```
git clone https://github.com/facebookresearch/SlowFast
```
PyPi (📥 24 / month · ⏱️ 15.01.2020): pip install pyslowfast

(🥉21 · ⭐ 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components..

GitHub (👨‍💻 38 · 🔀 330 · 📦 40 · 📋 190 - 43% open · ⏱️ 03.03.2024):
```
git clone https://github.com/facebookresearch/vissl
```
PyPi (📥 140 / month · 📦 1 · ⏱️ 02.11.2021): pip install vissl

(🥉20 · ⭐ 13K) - End-to-End Object Detection with Transformers.

GitHub (👨‍💻 27 · 🔀 2.3K · 📦 21 · 📋 540 - 47% open · ⏱️ 12.03.2024):
```
git clone https://github.com/facebookresearch/detr
```

(🥉20 · ⭐ 2.1K · 💤) - Codebase for Image Classification Research, written in PyTorch.

GitHub (👨‍💻 19 · 🔀 240 · 📦 18 · 📋 83 - 32% open · ⏱️ 26.08.2023):
```
git clone https://github.com/facebookresearch/pycls
```
PyPi (📥 1.3K / month · ⏱️ 05.09.2020): pip install pycls

(🥉18 · ⭐ 3.1K) - Scenic: A Jax Library for Computer Vision Research and Beyond.

GitHub (👨‍💻 81 · 🔀 410 · 📋 260 - 56% open · ⏱️ 22.05.2024):
```
git clone https://github.com/google-research/scenic
```

Show 26 hidden projects…

(🥇42 · ⭐ 5.9K) - Image processing in Python. ❗Unlicensed

(🥈37 · ⭐ 14K · 💀) - Image augmentation for machine learning experiments.

(🥈37 · ⭐ 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.

(🥈33 · ⭐ 52K · 💀) - The worlds simplest facial recognition api for Python..

(🥈33 · ⭐ 8.4K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed

(🥈31 · ⭐ 4.5K · 💀) - A series of convenience functions to make basic image processing..

(🥈29 · ⭐ 5.8K · 💀) - Gluon CV Toolkit.

(🥉28 · ⭐ 2.1K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP..

(🥉27 · ⭐ 4.6K · 💀) - A Unified Toolkit for Deep Learning Based Document Image..

(🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision.

(🥉26 · ⭐ 5K · 💀) - Image augmentation library in Python for machine learning.

(🥉25 · ⭐ 5K · 💀) - Finding duplicate images made easy!.

(🥉25 · ⭐ 2.1K · 💤) - The friendly PIL fork.

(🥉24 · ⭐ 4.6K · 💀) - Segmentation models with pretrained backbones. Keras..

(🥉23 · ⭐ 4.5K · 💀) - Super-scale your images and run experiments with..

(🥉23 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision.

(🥉22 · ⭐ 4.4K · 💀) - Simple command line tool for text to image generation using..

(🥉22 · ⭐ 840 · 💀) - An Agnostic Computer Vision Framework - Pluggable to any..

(🥉21 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video..

(🥉20 · ⭐ 920 · 💀) - Nudity detection with Python.

(🥉20 · ⭐ 610 · 💀) - Build fully-functioning computer vision models with PyTorch.

(🥉19 · ⭐ 2.9K · 💀) - Quickly search over billions of images.

(🥉18 · ⭐ 260 · 💀) - Streaming over lightweight data transformations.

(🥉17 · ⭐ 750 · 💀) - A lightweight Computer Vision library. Scale your models, not boilerplate.

(🥉16 · ⭐ 200 · 💀) - Pytorch framework for doing deep learning on point..

(🥉15 · ⭐ 190 · 💀) - HugsVision is a easy to use huggingface wrapper for state-of-.. huggingface

Graph Data

Libraries for graph processing, clustering, embedding, and machine learning tasks.

(🥇44 · ⭐ 14K) - Network Analysis in Python.

GitHub (👨‍💻 720 · 🔀 3.2K · 📥 71 · 📦 260K · 📋 3.3K - 10% open · ⏱️ 04.06.2024):
```
git clone https://github.com/networkx/networkx
```
PyPi (📥 55M / month · 📦 8.5K · ⏱️ 06.04.2024): pip install networkx
Conda (📥 16M · ⏱️ 08.04.2024): conda install -c conda-forge networkx

(🥇38 · ⭐ 20K) - Graph Neural Network Library for PyTorch.

GitHub (👨‍💻 500 · 🔀 3.6K · 📋 3.6K - 27% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
PyPi (📥 330K / month · 📦 250 · ⏱️ 19.04.2024): pip install torch-geometric
Conda (📥 43K · ⏱️ 04.05.2024): conda install -c conda-forge pytorch_geometric

(🥇38 · ⭐ 13K) - Python package built to ease deep learning on graph, on top of existing DL..

GitHub (👨‍💻 290 · 🔀 3K · 📦 250 · 📋 2.8K - 18% open · ⏱️ 06.06.2024):
```
git clone https://github.com/dmlc/dgl
```
PyPi (📥 110K / month · 📦 130 · ⏱️ 13.05.2024): pip install dgl

(🥈29 · ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2.

GitHub (👨‍💻 27 · 🔀 340 · 📦 300 · 📋 280 - 24% open · ⏱️ 21.01.2024):
```
git clone https://github.com/danielegrattarola/spektral
```
PyPi (📥 9.8K / month · 📦 7 · ⏱️ 21.01.2024): pip install spektral

(🥈29 · ⭐ 2.1K · 📈) - PyGraphistry is a Python library to quickly load,..

GitHub (👨‍💻 42 · 🔀 200 · 📦 110 · 📋 320 - 51% open · ⏱️ 30.04.2024):
```
git clone https://github.com/graphistry/pygraphistry
```
PyPi (📥 3.8K / month · 📦 6 · ⏱️ 30.04.2024): pip install graphistry

(🥈28 · ⭐ 2.1K) - Python library for Representation Learning on Knowledge..

GitHub (👨‍💻 21 · 🔀 250 · 📦 50 · 📋 220 - 15% open · ⏱️ 28.02.2024):
```
git clone https://github.com/Accenture/AmpliGraph
```
PyPi (📥 1.4K / month · 📦 1 · ⏱️ 26.02.2024): pip install ampligraph

(🥈28 · ⭐ 1.9K) - Benchmark datasets, data loaders, and evaluators for graph machine learning.

GitHub (👨‍💻 32 · 🔀 400 · 📦 1.7K · 📋 290 - 6% open · ⏱️ 01.02.2024):
```
git clone https://github.com/snap-stanford/ogb
```
PyPi (📥 36K / month · 📦 22 · ⏱️ 02.11.2022): pip install ogb
Conda (📥 32K · ⏱️ 16.06.2023): conda install -c conda-forge ogb

(🥈26 · ⭐ 1.6K) - A Python library for learning and evaluating knowledge graph embeddings.

GitHub (👨‍💻 39 · 🔀 180 · 📥 180 · 📋 570 - 20% open · ⏱️ 31.05.2024):
```
git clone https://github.com/pykeen/pykeen
```
PyPi (📥 6.6K / month · 📦 6 · ⏱️ 19.02.2024): pip install pykeen

(🥈25 · ⭐ 2.5K · 💤) - PyTorch Geometric Temporal: Spatiotemporal Signal..

GitHub (👨‍💻 28 · 🔀 360 · 📋 190 - 15% open · ⏱️ 01.07.2023):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
PyPi (📥 1.8K / month · 📦 3 · ⏱️ 04.09.2022): pip install torch-geometric-temporal

(🥈25 · ⭐ 1.6K · 💤) - Paddle Graph Learning (PGL) is an efficient and..

GitHub (👨‍💻 31 · 🔀 310 · 📦 56 · 📋 210 - 26% open · ⏱️ 26.09.2023):
```
git clone https://github.com/PaddlePaddle/PGL
```
PyPi (📥 930 / month · 📦 1 · ⏱️ 26.09.2023): pip install pgl

(🥈24 · ⭐ 3.4K) - Generate embeddings from large-scale graph-structured..

GitHub (👨‍💻 32 · 🔀 440 · 📥 180 · 📋 200 - 32% open · ⏱️ 03.03.2024):
```
git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
PyPi (📥 560K / month · 📦 2 · ⏱️ 14.10.2019): pip install torchbiggraph

(🥈24 · ⭐ 1.2K) - Implementation of the node2vec algorithm.

GitHub (👨‍💻 15 · 🔀 230 · 📦 620 · 📋 92 - 5% open · ⏱️ 05.05.2024):
```
git clone https://github.com/eliorc/node2vec
```
PyPi (📥 25K / month · 📦 27 · ⏱️ 01.08.2022): pip install node2vec
Conda (📥 28K · ⏱️ 16.06.2023): conda install -c conda-forge node2vec

(🥉22 · ⭐ 770) - PyTorch Extension Library of Optimized Graph Cluster..

GitHub (👨‍💻 34 · 🔀 140 · 📋 160 - 17% open · ⏱️ 29.04.2024):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
PyPi (📥 14K / month · 📦 51 · ⏱️ 12.10.2023): pip install torch-cluster
Conda (📥 120K · ⏱️ 17.05.2024): conda install -c conda-forge pytorch_cluster

(🥉20 · ⭐ 530 · 💤) - Python library assists deep learning on graphs.

GitHub (👨‍💻 18 · 🔀 57 · 📥 10 · 📦 100 · 📋 50 - 50% open · ⏱️ 11.11.2023):
```
git clone https://github.com/snap-stanford/deepsnap
```
PyPi (📥 380 / month · 📦 2 · ⏱️ 05.09.2021): pip install deepsnap

(🥉18 · ⭐ 420 · 💤) - semantic similarity framework for knowledge graph.

GitHub (👨‍💻 10 · 🔀 100 · 📦 46 · 📋 34 - 44% open · ⏱️ 07.11.2023):
```
git clone https://github.com/gsi-upm/sematch
```
PyPi (📥 220 / month · ⏱️ 17.04.2017): pip install sematch

(🥉16 · ⭐ 550 · 💤) - TypeDB-ML is the Machine Learning integrations library for TypeDB.

GitHub (👨‍💻 12 · 🔀 98 · 📥 220 · 📋 63 - 19% open · ⏱️ 18.11.2023):
```
git clone https://github.com/vaticle/kglib
```
PyPi (📥 77 / month · ⏱️ 19.08.2020): pip install grakn-kglib

(🥉15 · ⭐ 1.1K) - An autoML framework & toolkit for machine learning on graphs.

GitHub (👨‍💻 15 · 🔀 120 · 📋 39 - 35% open · ⏱️ 05.02.2024):
```
git clone https://github.com/THUMNLab/AutoGL
```
PyPi (⏱️ 23.12.2020): pip install auto-graph-learning

(🥉14 · ⭐ 1.7K) - An Open-Source Package for Network Embedding (NE).

GitHub (👨‍💻 12 · 🔀 490 · 📋 110 - 9% open · ⏱️ 10.01.2024):
```
git clone https://github.com/thunlp/OpenNE
```

Show 18 hidden projects…

(🥇33 · ⭐ 1.3K) - Python interface for igraph.

(🥈29 · ⭐ 2.9K · 💀) - StellarGraph - Machine Learning on Graphs.

(🥈26 · ⭐ 2.6K) - PYthon svg GrAph plotting Library.

(🥉23 · ⭐ 2.1K) - Karate Club: An API Oriented Open-source Python Framework for..

(🥉22 · ⭐ 1.3K · 💀) - A Graph Neural Network Library in Jax.

(🥉21 · ⭐ 5.3K · 💀) - Build Graph Nets in Tensorflow.

(🥉21 · ⭐ 1.8K) - A library for graph deep learning research.

(🥉21 · ⭐ 1.7K · 💀) - Graph4nlp is the library for the easy use of Graph..

(🥉21 · ⭐ 240 · 💤) - Python Implementation and Extension of RDF2Vec.

(🥉20 · ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs.

(🥉19 · ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:.

(🥉18 · ⭐ 1.6K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN).

(🥉16 · ⭐ 3.6K · 💀) - Implementation and experiments of graph embedding..

(🥉15 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework.

(🥉14 · ⭐ 3.3K · 💀) - Representation learning on large graphs using stochastic..

(🥉14 · ⭐ 1.2K · 💀) - GraphVite: A General and High-performance Graph Embedding..

(🥉14 · ⭐ 370 · 💀) - A PyTorch Graph Neural Network Library.

(🥉13 · ⭐ 3.7K) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed

Audio Data

Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks.

(🥇38 · ⭐ 8.1K) - A PyTorch-based Speech Toolkit.

GitHub (👨‍💻 240 · 🔀 1.3K · 📦 1.9K · 📋 1.1K - 12% open · ⏱️ 06.06.2024):
```
git clone https://github.com/speechbrain/speechbrain
```
PyPi (📥 2.3M / month · 📦 31 · ⏱️ 26.02.2024): pip install speechbrain

(🥇37 · ⭐ 8K) - End-to-End Speech Processing Toolkit.

GitHub (👨‍💻 430 · 🔀 2.1K · 📥 79 · 📦 340 · 📋 2.4K - 13% open · ⏱️ 04.06.2024):
```
git clone https://github.com/espnet/espnet
```
PyPi (📥 34K / month · 📦 12 · ⏱️ 06.02.2024): pip install espnet

(🥇36 · ⭐ 8.1K) - Speech recognition module for Python, supporting several..

GitHub (👨‍💻 50 · 🔀 2.4K · 📦 21 · 📋 640 - 50% open · ⏱️ 05.05.2024):
```
git clone https://github.com/Uberi/speech_recognition
```
PyPi (📥 930K / month · 📦 500 · ⏱️ 05.05.2024): pip install SpeechRecognition
Conda (📥 190K · ⏱️ 06.05.2024): conda install -c conda-forge speechrecognition

(🥈35 · ⭐ 31K) - - a deep learning toolkit for Text-to-Speech, battle-..

GitHub (👨‍💻 160 · 🔀 3.6K · 📥 2.2M · 📦 1.3K · 📋 1K - 8% open · ⏱️ 10.02.2024):
```
git clone https://github.com/coqui-ai/TTS
```
PyPi (📥 120K / month · 📦 46 · ⏱️ 12.12.2023): pip install tts
Conda (📥 12K · ⏱️ 16.06.2023): conda install -c conda-forge tts

(🥈35 · ⭐ 2.4K) - Data manipulation and transformation for audio signal..

GitHub (👨‍💻 220 · 🔀 630 · 📋 950 - 24% open · ⏱️ 14.05.2024):
```
git clone https://github.com/pytorch/audio
```
PyPi (📥 4.9M / month · 📦 1.1K · ⏱️ 05.06.2024): pip install torchaudio

(🥈34 · ⭐ 6.8K) - Python library for audio and music analysis.

GitHub (👨‍💻 120 · 🔀 930 · 📋 1.2K - 4% open · ⏱️ 03.06.2024):
```
git clone https://github.com/librosa/librosa
```
PyPi (📥 2.8M / month · 📦 1.2K · ⏱️ 14.05.2024): pip install librosa
Conda (📥 750K · ⏱️ 15.05.2024): conda install -c conda-forge librosa

(🥈32 · ⭐ 19K · 💤) - Magenta: Music and Art Generation with Machine Intelligence.

GitHub (👨‍💻 160 · 🔀 3.7K · 📦 510 · 📋 1K - 41% open · ⏱️ 11.07.2023):
```
git clone https://github.com/magenta/magenta
```
PyPi (📥 4.4K / month · 📦 5 · ⏱️ 01.08.2022): pip install magenta

(🥈30 · ⭐ 25K · 💤) - Deezer source separation library including pretrained models.

GitHub (👨‍💻 19 · 🔀 2.7K · 📥 3.2M · 📦 720 · 📋 790 - 29% open · ⏱️ 13.07.2023):
```
git clone https://github.com/deezer/spleeter
```
PyPi (📥 15K / month · 📦 6 · ⏱️ 10.06.2022): pip install spleeter
Conda (📥 83K · ⏱️ 16.06.2023): conda install -c conda-forge spleeter

(🥈29 · ⭐ 3.5K) - On-device wake word detection powered by deep learning.

GitHub (👨‍💻 37 · 🔀 470 · 📦 28 · 📋 540 - 1% open · ⏱️ 18.04.2024):
```
git clone https://github.com/Picovoice/Porcupine
```
PyPi (📥 8K / month · 📦 15 · ⏱️ 30.01.2024): pip install pvporcupine

(🥈29 · ⭐ 1.7K) - A Python library for audio data augmentation. Inspired by..

GitHub (👨‍💻 29 · 🔀 180 · 📦 490 · 📋 180 - 26% open · ⏱️ 29.04.2024):
```
git clone https://github.com/iver56/audiomentations
```
PyPi (📥 21K / month · 📦 13 · ⏱️ 15.03.2024): pip install audiomentations

(🥈29 · ⭐ 480) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding..

GitHub (👨‍💻 25 · 🔀 110 · 📦 21K · 📋 94 - 39% open · ⏱️ 15.12.2023):
```
git clone https://github.com/beetbox/audioread
```
PyPi (📥 1.9M / month · 📦 120 · ⏱️ 27.09.2023): pip install audioread
Conda (📥 780K · ⏱️ 30.09.2023): conda install -c conda-forge audioread

(🥉28 · ⭐ 5.7K · 💤) - Python Audio Analysis Library: Feature Extraction,..

GitHub (👨‍💻 28 · 🔀 1.2K · 📦 460 · 📋 320 - 61% open · ⏱️ 22.10.2023):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
PyPi (📥 21K / month · 📦 12 · ⏱️ 07.02.2022): pip install pyAudioAnalysis

(🥉26 · ⭐ 1.3K · 💤) - Python audio and music signal processing library.

GitHub (👨‍💻 20 · 🔀 200 · 📦 420 · 📋 280 - 23% open · ⏱️ 10.09.2023):
```
git clone https://github.com/CPJKU/madmom
```
PyPi (📥 1.9K / month · 📦 27 · ⏱️ 14.11.2018): pip install madmom

(🥉25 · ⭐ 2.8K · 💤) - DDSP: Differentiable Digital Signal Processing.

GitHub (👨‍💻 32 · 🔀 320 · 📦 54 · 📋 170 - 28% open · ⏱️ 30.06.2023):
```
git clone https://github.com/magenta/ddsp
```
PyPi (📥 1.5K / month · 📦 1 · ⏱️ 25.05.2022): pip install ddsp
Conda (📥 16K · ⏱️ 16.06.2023): conda install -c conda-forge ddsp

(🥉25 · ⭐ 670) - Python library for reading audio file metadata, duration of MP3, OGG,..

GitHub (👨‍💻 27 · 🔀 100 · 📋 120 - 12% open · ⏱️ 05.06.2024):
```
git clone https://github.com/devsnd/tinytag
```
PyPi (📥 25K / month · 📦 100 · ⏱️ 26.10.2023): pip install tinytag

(🥉25 · ⭐ 670) - SoundFile is an audio library based on libsndfile, CFFI, and..

GitHub (👨‍💻 33 · 🔀 100 · 📥 19K · 📋 250 - 46% open · ⏱️ 05.01.2024):
```
git clone https://github.com/bastibe/python-soundfile
```
PyPi (📥 3.2M / month · 📦 620 · ⏱️ 15.02.2023): pip install soundfile
Conda: conda install -c anaconda pysoundfile

(🥉22 · ⭐ 970) - Audio processing by using pytorch 1D convolution network.

GitHub (👨‍💻 15 · 🔀 90 · 📦 180 · 📋 62 - 29% open · ⏱️ 13.02.2024):
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
PyPi (📥 11K / month · 📦 4 · ⏱️ 13.02.2024): pip install nnAudio

(🥉10 · ⭐ 510 · 💤) - Library for Textless Spoken Language Processing.

GitHub (👨‍💻 8 · 🔀 51 · 📋 25 - 56% open · ⏱️ 29.08.2023):
```
git clone https://github.com/facebookresearch/textlesslib
```

Show 11 hidden projects…

(🥈35 · ⭐ 8.5K · 💀) - Manipulate audio with a simple and easy high level interface.

(🥈33 · ⭐ 25K · 💀) - DeepSpeech is an open source embedded (offline, on-..

(🥉28 · ⭐ 3.2K) - a library for audio and music analysis.

(🥉28 · ⭐ 2.7K) - C++ library for audio and music analysis, description and..

(🥉26 · ⭐ 8.9K · 💀) - Deep learning for Text to Speech (Discussion forum:..

(🥉24 · ⭐ 2.3K · 💀) - This library provides common speech features for ASR..

(🥉23 · ⭐ 6.3K · 💀) - Audio fingerprinting and recognition in Python.

(🥉23 · ⭐ 920 · 💀) - kapre: Keras Audio Preprocessors.

(🥉21 · ⭐ 410 · 💀) - Fast PyTorch based DSP for audio and 1D signals.

(🥉20 · ⭐ 370 · 💀) - scalable audio processing framework and server written in..

(🥉17 · ⭐ 230 · 💀) - A library for augmenting annotated audio data.

Geospatial Data

Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding.

(🥇43 · ⭐ 12K) - WebGL2 powered visualization framework.

GitHub (👨‍💻 260 · 🔀 2K · 📦 7.7K · 📋 3K - 10% open · ⏱️ 04.06.2024):
```
git clone https://github.com/visgl/deck.gl
```
PyPi (📥 3.7M / month · 📦 88 · ⏱️ 10.05.2024): pip install pydeck
Conda (📥 530K · ⏱️ 16.06.2023): conda install -c conda-forge pydeck
npm (📥 460K / month · 📦 290 · ⏱️ 29.05.2024): npm install deck.gl

(🥇40 · ⭐ 6.7K) - Python Data. Leaflet.js Maps.

GitHub (👨‍💻 170 · 🔀 2.2K · 📦 38K · 📋 1.1K - 7% open · ⏱️ 03.06.2024):
```
git clone https://github.com/python-visualization/folium
```
PyPi (📥 1.2M / month · 📦 660 · ⏱️ 29.02.2024): pip install folium
Conda (📥 2.8M · ⏱️ 29.02.2024): conda install -c conda-forge folium

(🥇40 · ⭐ 4.3K) - Python tools for geographic data.

GitHub (👨‍💻 220 · 🔀 900 · 📥 2.5K · 📦 36K · 📋 1.7K - 26% open · ⏱️ 04.06.2024):
```
git clone https://github.com/geopandas/geopandas
```
PyPi (📥 6.1M / month · 📦 2.5K · ⏱️ 28.04.2024): pip install geopandas
Conda (📥 3.7M · ⏱️ 28.04.2024): conda install -c conda-forge geopandas

(🥈39 · ⭐ 3.7K) - Manipulation and analysis of geometric objects.

GitHub (👨‍💻 150 · 🔀 560 · 📥 3.3K · 📦 71K · 📋 1.2K - 22% open · ⏱️ 14.05.2024):
```
git clone https://github.com/shapely/shapely
```
PyPi (📥 27M / month · 📦 2.5K · ⏱️ 16.04.2024): pip install shapely
Conda (📥 9.4M · ⏱️ 16.05.2024): conda install -c conda-forge shapely

(🥈37 · ⭐ 2.2K) - Rasterio reads and writes geospatial raster datasets.

GitHub (👨‍💻 160 · 🔀 520 · 📥 860 · 📦 12K · 📋 1.8K - 8% open · ⏱️ 10.05.2024):
```
git clone https://github.com/rasterio/rasterio
```
PyPi (📥 2.8M / month · 📦 1.3K · ⏱️ 16.04.2024): pip install rasterio
Conda (📥 3M · ⏱️ 06.06.2024): conda install -c conda-forge rasterio

(🥈37 · ⭐ 1.1K) - Fiona reads and writes geographic data files.

GitHub (👨‍💻 74 · 🔀 200 · 📦 20K · 📋 790 - 4% open · ⏱️ 20.05.2024):
```
git clone https://github.com/Toblerity/Fiona
```
PyPi (📥 6.1M / month · 📦 190 · ⏱️ 16.04.2024): pip install fiona
Conda (📥 5.6M · ⏱️ 21.05.2024): conda install -c conda-forge fiona

(🥈35 · ⭐ 1K) - Python interface to PROJ (cartographic projections and coordinate..

GitHub (👨‍💻 65 · 🔀 210 · 📦 31K · 📋 610 - 5% open · ⏱️ 02.06.2024):
```
git clone https://github.com/pyproj4/pyproj
```
PyPi (📥 8.5M / month · 📦 1.5K · ⏱️ 21.09.2023): pip install pyproj
Conda (📥 7.7M · ⏱️ 01.05.2024): conda install -c conda-forge pyproj

(🥈34 · ⭐ 1.8K) - Documentation and samples for ArcGIS API for Python.

GitHub (👨‍💻 91 · 🔀 1.1K · 📥 11K · 📦 760 · 📋 730 - 9% open · ⏱️ 22.05.2024):
```
git clone https://github.com/Esri/arcgis-python-api
```
PyPi (📥 68K / month · 📦 36 · ⏱️ 28.05.2024): pip install arcgis
Docker Hub: docker pull esridocker/arcgis-api-python-notebook

(🥈34 · ⭐ 1.5K) - A Jupyter - Leaflet.js bridge.

GitHub (👨‍💻 88 · 🔀 360 · 📦 9.2K · 📋 630 - 43% open · ⏱️ 29.05.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
PyPi (📥 140K / month · 📦 250 · ⏱️ 14.05.2024): pip install ipyleaflet
Conda (📥 1.2M · ⏱️ 14.05.2024): conda install -c conda-forge ipyleaflet
npm (📥 11K / month · 📦 9 · ⏱️ 13.05.2024): npm install jupyter-leaflet

(🥉32 · ⭐ 4.3K · 💤) - Geocoding library for Python.

GitHub (👨‍💻 130 · 🔀 630 · 📥 48 · 📋 290 - 13% open · ⏱️ 23.11.2023):
```
git clone https://github.com/geopy/geopy
```
PyPi (📥 5.2M / month · 📦 790 · ⏱️ 23.11.2023): pip install geopy
Conda (📥 1.3M · ⏱️ 28.02.2024): conda install -c conda-forge geopy

(🥉30 · ⭐ 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package.

GitHub (👨‍💻 78 · 🔀 280 · 📦 1.5K · 📋 630 - 3% open · ⏱️ 15.03.2024):
```
git clone https://github.com/pysal/pysal
```
PyPi (📥 29K / month · 📦 39 · ⏱️ 31.01.2024): pip install pysal
Conda (📥 550K · ⏱️ 04.10.2023): conda install -c conda-forge pysal

(🥉29 · ⭐ 890) - Python bindings and utilities for GeoJSON.

GitHub (👨‍💻 56 · 🔀 120 · 📦 17K · 📋 100 - 26% open · ⏱️ 25.03.2024):
```
git clone https://github.com/jazzband/geojson
```
PyPi (📥 1.7M / month · 📦 660 · ⏱️ 05.11.2023): pip install geojson
Conda (📥 810K · ⏱️ 06.11.2023): conda install -c conda-forge geojson

(🥉29 · ⭐ 570) - Simple, concise geographical visualization in Python.

GitHub (👨‍💻 32 · 🔀 75 · 📦 1K · 📋 340 - 31% open · ⏱️ 03.06.2024):
```
git clone https://github.com/holoviz/geoviews
```
PyPi (📥 13K / month · 📦 56 · ⏱️ 05.04.2024): pip install geoviews
Conda (📥 220K · ⏱️ 05.04.2024): conda install -c conda-forge geoviews

(🥉27 · ⭐ 480 · 💤) - A package built to support working with spatial data using open..

GitHub (👨‍💻 44 · 🔀 150 · 📦 330 · 📋 230 - 11% open · ⏱️ 23.08.2023):
```
git clone https://github.com/earthlab/earthpy
```
PyPi (📥 9.7K / month · 📦 17 · ⏱️ 01.10.2021): pip install earthpy
Conda (📥 77K · ⏱️ 16.06.2023): conda install -c conda-forge earthpy

(🥉25 · ⭐ 370) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef..

GitHub (👨‍💻 18 · 🔀 85 · 📦 410 · 📋 56 - 12% open · ⏱️ 11.02.2024):
```
git clone https://github.com/geospace-code/pymap3d
```
PyPi (📥 140K / month · 📦 43 · ⏱️ 11.02.2024): pip install pymap3d
Conda (📥 72K · ⏱️ 11.02.2024): conda install -c conda-forge pymap3d

Show 7 hidden projects…

(🥉33 · ⭐ 1.6K · 💀) - Python Geocoder.

(🥉32 · ⭐ 1K) - Python package for earth-observing satellite data processing.

(🥉26 · ⭐ 960) - Search and download Copernicus Sentinel satellite images.

(🥉24 · ⭐ 660 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook.

(🥉23 · ⭐ 11K · 💀) - A small set of Python functions to draw pretty maps from..

(🥉23 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks.

(🥉21 · ⭐ 1K · 💀) - python toolbox for visualizing geographical data and making maps.

Financial Data

Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data.

(🥇40 · ⭐ 12K) - Download market data from Yahoo! Finances API.

GitHub (👨‍💻 110 · 🔀 2.2K · 📦 39K · 📋 1.3K - 12% open · ⏱️ 04.06.2024):
```
git clone https://github.com/ranaroussi/yfinance
```
PyPi (📥 1.7M / month · 📦 560 · ⏱️ 19.05.2024): pip install yfinance
Conda (📥 91K · ⏱️ 16.06.2023): conda install -c ranaroussi yfinance

(🥇31 · ⭐ 14K) - Qlib is an AI-oriented quantitative investment platform that aims to..

GitHub (👨‍💻 130 · 🔀 2.5K · 📥 580 · 📦 21 · 📋 910 - 24% open · ⏱️ 06.06.2024):
```
git clone https://github.com/microsoft/qlib
```
PyPi (📥 3.9K / month · 📦 1 · ⏱️ 24.05.2024): pip install pyqlib

(🥈30 · ⭐ 4.1K · 💤) - Technical Analysis Library using Pandas and Numpy.

GitHub (👨‍💻 34 · 🔀 840 · 📦 3.5K · 📋 240 - 56% open · ⏱️ 02.11.2023):
```
git clone https://github.com/bukosabino/ta
```
PyPi (📥 130K / month · 📦 89 · ⏱️ 02.11.2023): pip install ta
Conda (📥 26K · ⏱️ 02.11.2023): conda install -c conda-forge ta

(🥈29 · ⭐ 1.8K) - ffn - a financial function library for Python.

GitHub (👨‍💻 33 · 🔀 280 · 📦 460 · 📋 120 - 17% open · ⏱️ 09.05.2024):
```
git clone https://github.com/pmorissette/ffn
```
PyPi (📥 150K / month · 📦 16 · ⏱️ 31.12.2023): pip install ffn
Conda (📥 7.6K · ⏱️ 31.12.2023): conda install -c conda-forge ffn

(🥈28 · ⭐ 4.2K) - A python wrapper for Alpha Vantage API for financial data.

GitHub (👨‍💻 43 · 🔀 720 · 📦 580 · 📋 290 - 2% open · ⏱️ 19.03.2024):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
PyPi (📥 47K / month · 📦 33 · ⏱️ 21.12.2020): pip install alpha_vantage
Conda (📥 6.8K · ⏱️ 16.06.2023): conda install -c conda-forge alpha_vantage

(🥈27 · ⭐ 4.4K) - An open source reinforcement learning framework for training,..

GitHub (👨‍💻 61 · 🔀 980 · 📦 56 · 📋 250 - 20% open · ⏱️ 27.05.2024):
```
git clone https://github.com/tensortrade-org/tensortrade
```
PyPi (📥 790 / month · 📦 1 · ⏱️ 10.05.2021): pip install tensortrade
Conda (📥 3.5K · ⏱️ 16.06.2023): conda install -c conda-forge tensortrade

(🥈27 · ⭐ 2.1K) - bt - flexible backtesting for Python.

GitHub (👨‍💻 32 · 🔀 400 · 📦 1.6K · 📋 340 - 23% open · ⏱️ 04.04.2024):
```
git clone https://github.com/pmorissette/bt
```
PyPi (📥 7.1K / month · 📦 10 · ⏱️ 20.11.2023): pip install bt
Conda (📥 25K · ⏱️ 20.11.2023): conda install -c conda-forge bt

(🥉25 · ⭐ 2.7K) - Python sync/async framework for Interactive Brokers API.

GitHub (👨‍💻 36 · 🔀 700 · 📋 590 - 3% open · ⏱️ 14.03.2024):
```
git clone https://github.com/erdewit/ib_insync
```
PyPi (📥 33K / month · 📦 40 · ⏱️ 21.11.2022): pip install ib_insync
Conda (📥 41K · ⏱️ 16.06.2023): conda install -c conda-forge ib-insync

(🥉25 · ⭐ 1.2K) - Supply a wrapper StockDataFrame based on the..

GitHub (👨‍💻 10 · 🔀 300 · 📦 1.1K · 📋 120 - 12% open · ⏱️ 05.01.2024):
```
git clone https://github.com/jealous/stockstats
```
PyPi (📥 10K / month · 📦 11 · ⏱️ 30.07.2023): pip install stockstats

(🥉23 · ⭐ 3.4K) - Python library for backtesting trading strategies & analyzing..

GitHub (👨‍💻 14 · 🔀 490 · 📥 51 · 📦 13 · 📋 28 - 85% open · ⏱️ 19.05.2024):
```
git clone https://github.com/cuemacro/finmarketpy
```
PyPi (📥 360 / month · ⏱️ 19.05.2024): pip install finmarketpy

(🥉22 · ⭐ 1.3K · 💤) - A program for financial portfolio management, analysis and..

GitHub (👨‍💻 11 · 🔀 180 · 📦 92 · 📋 48 - 33% open · ⏱️ 03.09.2023):
```
git clone https://github.com/fmilthaler/FinQuant
```
PyPi (📥 590 / month · 📦 1 · ⏱️ 04.09.2023): pip install FinQuant

(🥉21 · ⭐ 4.3K · 💤) - High-performance TensorFlow library for quantitative..

GitHub (👨‍💻 47 · 🔀 540 · 📋 65 - 56% open · ⏱️ 15.08.2023):
```
git clone https://github.com/google/tf-quant-finance
```
PyPi (📥 530 / month · 📦 2 · ⏱️ 19.08.2022): pip install tf-quant-finance

Show 13 hidden projects…

(🥇32 · ⭐ 17K · 💀) - Zipline, a Pythonic Algorithmic Trading Library.

(🥇31 · ⭐ 5.5K · 💀) - Portfolio and risk analytics in Python.

(🥇31 · ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed

(🥈29 · ⭐ 13K · 💀) - Python Backtesting library for trading strategies.

(🥈27 · ⭐ 1.2K · 💀) - Common financial risk and performance metrics. Used by..

(🥉26 · ⭐ 3.1K · 💀) - Performance analysis of predictive (alpha) stock factors.

(🥉25 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in..

(🥉24 · ⭐ 2.1K · 💀) - Common financial technical indicators implemented in Pandas.

(🥉23 · ⭐ 4.3K · 💀) - Python Algorithmic Trading Library.

(🥉22 · ⭐ 4.9K · 💀) - Backtest trading strategies in Python.

(🥉22 · ⭐ 4.8K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -..

(🥉12 · ⭐ 1.7K · 💀) - Find big moving stocks before they move using machine..

(🥉8 · ⭐ 140 · 💀) - Python package to generate stock portfolios.

Time Series Data

Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data.

(🥇39 · ⭐ 7.5K) - A unified framework for machine learning with time series.

GitHub (👨‍💻 360 · 🔀 1.3K · 📥 91 · 📦 2.8K · 📋 2.3K - 35% open · ⏱️ 05.06.2024):
```
git clone https://github.com/alan-turing-institute/sktime
```
PyPi (📥 800K / month · 📦 120 · ⏱️ 04.06.2024): pip install sktime
Conda (📥 960K · ⏱️ 05.06.2024): conda install -c conda-forge sktime-all-extras

(🥇34 · ⭐ 18K) - Tool for producing high quality forecasts for time series data that has..

GitHub (👨‍💻 180 · 🔀 4.5K · 📥 2.5K · 📦 21 · 📋 2.1K - 18% open · ⏱️ 18.05.2024):
```
git clone https://github.com/facebook/prophet
```
PyPi (📥 830K / month · 📦 89 · ⏱️ 05.09.2020): pip install fbprophet
Conda (📥 1.2M · ⏱️ 20.10.2023): conda install -c conda-forge prophet

(🥇34 · ⭐ 3.6K) - Lightning fast forecasting with statistical and econometric..

GitHub (👨‍💻 41 · 🔀 250 · 📦 920 · 📋 320 - 30% open · ⏱️ 30.05.2024):
```
git clone https://github.com/Nixtla/statsforecast
```
PyPi (📥 590K / month · 📦 55 · ⏱️ 24.05.2024): pip install statsforecast
Conda (📥 71K · ⏱️ 24.05.2024): conda install -c conda-forge statsforecast

(🥈33 · ⭐ 7.4K) - A python library for user-friendly forecasting and anomaly detection..

GitHub (👨‍💻 120 · 🔀 800 · 📦 630 · 📋 1.4K - 18% open · ⏱️ 05.06.2024):
```
git clone https://github.com/unit8co/darts
```
PyPi (📥 24K / month · 📦 6 · ⏱️ 17.04.2024): pip install u8darts
Conda (📥 46K · ⏱️ 18.04.2024): conda install -c conda-forge u8darts-all
Docker Hub (📥 590 · ⏱️ 17.04.2024): docker pull unit8/darts

(🥈32 · ⭐ 8.2K) - Automatic extraction of relevant features from time series:.

GitHub (👨‍💻 94 · 🔀 1.2K · 📦 21 · 📋 540 - 12% open · ⏱️ 26.05.2024):
```
git clone https://github.com/blue-yonder/tsfresh
```
PyPi (📥 250K / month · 📦 75 · ⏱️ 28.01.2024): pip install tsfresh
Conda (📥 1.4M · ⏱️ 28.01.2024): conda install -c conda-forge tsfresh

(🥈32 · ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series..

GitHub (👨‍💻 23 · 🔀 230 · 📦 8.3K · 📋 330 - 17% open · ⏱️ 23.02.2024):
```
git clone https://github.com/alkaline-ml/pmdarima
```
PyPi (📥 2.4M / month · 📦 140 · ⏱️ 23.10.2023): pip install pmdarima
Conda (📥 1.1M · ⏱️ 19.04.2024): conda install -c conda-forge pmdarima

(🥈31 · ⭐ 3K) - STUMPY is a powerful and scalable Python library for modern time series..

GitHub (👨‍💻 38 · 🔀 280 · 📦 770 · 📋 480 - 11% open · ⏱️ 01.06.2024):
```
git clone https://github.com/TDAmeritrade/stumpy
```
PyPi (📥 240K / month · 📦 23 · ⏱️ 21.08.2023): pip install stumpy
Conda (📥 990K · ⏱️ 21.08.2023): conda install -c conda-forge stumpy

(🥈30 · ⭐ 4.4K) - Probabilistic time series modeling in Python.

GitHub (👨‍💻 110 · 🔀 740 · 📋 940 - 33% open · ⏱️ 31.05.2024):
```
git clone https://github.com/awslabs/gluon-ts
```
PyPi (📥 240K / month · 📦 27 · ⏱️ 03.06.2024): pip install gluonts
Conda (📥 770 · ⏱️ 22.12.2023): conda install -c anaconda gluonts

(🥈30 · ⭐ 3.7K) - NeuralProphet: A simple forecasting package.

GitHub (👨‍💻 53 · 🔀 460 · 📦 450 · 📋 520 - 8% open · ⏱️ 15.03.2024):
```
git clone https://github.com/ourownstory/neural_prophet
```
PyPi (📥 180K / month · 📦 5 · ⏱️ 23.02.2024): pip install neuralprophet

(🥈30 · ⭐ 2.8K) - The machine learning toolkit for time series analysis in Python.

GitHub (👨‍💻 43 · 🔀 320 · 📦 1.3K · 📋 320 - 39% open · ⏱️ 20.03.2024):
```
git clone https://github.com/tslearn-team/tslearn
```
PyPi (📥 390K / month · 📦 71 · ⏱️ 12.12.2023): pip install tslearn
Conda (📥 1.3M · ⏱️ 04.02.2024): conda install -c conda-forge tslearn

(🥈30 · ⭐ 2.6K) - Scalable and user friendly neural forecasting algorithms.

GitHub (👨‍💻 45 · 🔀 300 · 📦 160 · 📋 470 - 20% open · ⏱️ 30.05.2024):
```
git clone https://github.com/Nixtla/neuralforecast
```
PyPi (📥 43K / month · 📦 16 · ⏱️ 07.05.2024): pip install neuralforecast
Conda (📥 16K · ⏱️ 08.05.2024): conda install -c conda-forge neuralforecast

(🥈28 · ⭐ 980) - Time series forecasting with scikit-learn models.

GitHub (👨‍💻 13 · 🔀 110 · 📦 270 · 📋 140 - 17% open · ⏱️ 30.05.2024):
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
PyPi (📥 48K / month · 📦 12 · ⏱️ 20.05.2024): pip install skforecast

(🥉27 · ⭐ 3.7K) - Time series forecasting with PyTorch.

GitHub (👨‍💻 45 · 🔀 580 · 📋 760 - 62% open · ⏱️ 15.03.2024):
```
git clone https://github.com/jdb78/pytorch-forecasting
```
PyPi (📥 53K / month · 📦 16 · ⏱️ 26.07.2020): pip install pytorch-forecasting
Conda (📥 58K · ⏱️ 16.06.2023): conda install -c conda-forge pytorch-forecasting

(🥉26 · ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented..

GitHub (👨‍💻 20 · 🔀 140 · 📦 57 · 📋 400 - 12% open · ⏱️ 31.03.2024):
```
git clone https://github.com/uber/orbit
```
PyPi (📥 21K / month · 📦 1 · ⏱️ 01.04.2024): pip install orbit-ml
Conda (📥 7.8K · ⏱️ 01.04.2024): conda install -c conda-forge orbit-ml

(🥉26 · ⭐ 1.7K · 💤) - A Python package for time series classification.

GitHub (👨‍💻 14 · 🔀 160 · 📦 610 · 📋 78 - 55% open · ⏱️ 20.06.2023):
```
git clone https://github.com/johannfaouzi/pyts
```
PyPi (📥 170K / month · 📦 19 · ⏱️ 31.10.2021): pip install pyts
Conda (📥 24K · ⏱️ 18.06.2023): conda install -c conda-forge pyts

(🥉24 · ⭐ 870) - An intuitive library to extract features from time series.

GitHub (👨‍💻 20 · 🔀 130 · 📦 130 · 📋 69 - 4% open · ⏱️ 14.05.2024):
```
git clone https://github.com/fraunhoferportugal/tsfel
```
PyPi (📥 23K / month · 📦 3 · ⏱️ 27.03.2024): pip install tsfel

(🥉22 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library.

GitHub (👨‍💻 10 · 🔀 100 · 📥 26 · 📦 30 · 📋 110 - 26% open · ⏱️ 16.01.2024):
```
git clone https://github.com/linkedin/greykite
```
PyPi (📥 11K / month · ⏱️ 12.01.2024): pip install greykite

(🥉20 · ⭐ 690) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost..

GitHub (👨‍💻 13 · 🔀 110 · 📋 88 - 1% open · ⏱️ 05.05.2024):
```
git clone https://github.com/AutoViML/Auto_TS
```
PyPi (📥 12K / month · ⏱️ 05.05.2024): pip install auto-ts

(🥉20 · ⭐ 380) - Flexible time series feature extraction & processing.

GitHub (👨‍💻 6 · 🔀 25 · 📦 13 · 📋 52 - 57% open · ⏱️ 05.06.2024):
```
git clone https://github.com/predict-idlab/tsflex
```
PyPi (📥 320 / month · 📦 1 · ⏱️ 04.04.2024): pip install tsflex
Conda (📥 22K · ⏱️ 08.04.2024): conda install -c conda-forge tsflex

(🥉19 · ⭐ 470 · 💤) - A python library for Bayesian time series modeling.

GitHub (👨‍💻 6 · 🔀 97 · 📦 33 · 📋 49 - 75% open · ⏱️ 04.09.2023):
```
git clone https://github.com/wwrechard/pydlm
```
PyPi (📥 22K / month · 📦 2 · ⏱️ 19.12.2018): pip install pydlm

Show 10 hidden projects…

(🥉26 · ⭐ 1.2K · 💀) - Real-time stream processing for python.

(🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python.

(🥉22 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library.

(🥉22 · ⭐ 470 · 💀) - Module for statistical learning, with a particular emphasis on time-..

(🥉21 · ⭐ 570 · 💀) - Python module for machine learning time series:.

(🥉20 · ⭐ 1K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time..

(🥉19 · ⭐ 730 · 💀) - A Python library for detecting patterns and anomalies..

(🥉14 · ⭐ 510 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai).

(🥉14 · ⭐ 340 · 💀) - A Python package for time series augmentation.

(🥉8 · ⭐ 67 · 💀) - A library for Time Series EDA (exploratory data analysis).

Medical Data

Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats.

(🥇39 · ⭐ 2.6K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.

GitHub (👨‍💻 370 · 🔀 1.3K · 📦 3.9K · 📋 4.8K - 10% open · ⏱️ 05.06.2024):
```
git clone https://github.com/mne-tools/mne-python
```
PyPi (📥 120K / month · 📦 350 · ⏱️ 19.04.2024): pip install mne
Conda (📥 370K · ⏱️ 26.05.2024): conda install -c conda-forge mne

(🥇37 · ⭐ 1.1K) - Machine learning for NeuroImaging in Python.

GitHub (👨‍💻 240 · 🔀 550 · 📥 170 · 📦 3.2K · 📋 2.1K - 14% open · ⏱️ 05.06.2024):
```
git clone https://github.com/nilearn/nilearn
```
PyPi (📥 60K / month · 📦 280 · ⏱️ 09.04.2024): pip install nilearn
Conda (📥 270K · ⏱️ 09.04.2024): conda install -c conda-forge nilearn

(🥈36 · ⭐ 5.4K) - AI Toolkit for Healthcare Imaging.

GitHub (👨‍💻 190 · 🔀 980 · 📦 2.3K · 📋 3K - 11% open · ⏱️ 31.05.2024):
```
git clone https://github.com/Project-MONAI/MONAI
```
PyPi (📥 150K / month · 📦 97 · ⏱️ 21.05.2024): pip install monai
Conda (📥 24K · ⏱️ 21.05.2024): conda install -c conda-forge monai

(🥈36 · ⭐ 630) - Python package to access a cacophony of neuro-imaging file formats.

GitHub (👨‍💻 100 · 🔀 260 · 📦 19K · 📋 530 - 24% open · ⏱️ 29.05.2024):
```
git clone https://github.com/nipy/nibabel
```
PyPi (📥 500K / month · 📦 1K · ⏱️ 27.02.2024): pip install nibabel
Conda (📥 710K · ⏱️ 27.02.2024): conda install -c conda-forge nibabel

(🥈35 · ⭐ 740) - Workflows and interfaces for neuroimaging packages.

GitHub (👨‍💻 260 · 🔀 510 · 📦 4.4K · 📋 1.4K - 29% open · ⏱️ 30.05.2024):
```
git clone https://github.com/nipy/nipype
```
PyPi (📥 170K / month · 📦 140 · ⏱️ 06.04.2023): pip install nipype
Conda (📥 620K · ⏱️ 22.09.2023): conda install -c conda-forge nipype

(🥈32 · ⭐ 2.3K) - Survival analysis in Python.

GitHub (👨‍💻 120 · 🔀 580 · 📦 2.5K · 📋 950 - 26% open · ⏱️ 07.03.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
PyPi (📥 550K / month · 📦 130 · ⏱️ 03.01.2024): pip install lifelines
Conda (📥 340K · ⏱️ 13.09.2023): conda install -c conda-forge lifelines

(🥈32 · ⭐ 950) - Cloud-native genomic dataframes and batch computing.

GitHub (👨‍💻 92 · 🔀 240 · 📦 130 · 📋 2.4K - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/hail-is/hail
```
PyPi (📥 19K / month · 📦 30 · ⏱️ 05.06.2024): pip install hail

(🥉25 · ⭐ 3.1K) - DeepVariant is an analysis pipeline that uses a deep neural..

GitHub (👨‍💻 30 · 🔀 690 · 📥 4.7K · 📋 760 - 0% open · ⏱️ 18.03.2024):
```
git clone https://github.com/google/deepvariant
```
Conda (📥 65K · ⏱️ 16.06.2023): conda install -c bioconda deepvariant

(🥉18 · ⭐ 320 · 💤) - Brain Imaging Analysis Kit.

GitHub (👨‍💻 35 · 🔀 130 · 📋 210 - 38% open · ⏱️ 27.11.2023):
```
git clone https://github.com/brainiak/brainiak
```
PyPi (📥 100 / month · ⏱️ 15.10.2020): pip install brainiak
Docker Hub (📥 1.8K · ⭐ 1 · ⏱️ 15.10.2020): docker pull brainiak/brainiak

Show 10 hidden projects…

(🥈33 · ⭐ 680) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. ❗Unlicensed

(🥉24 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural..

(🥉24 · ⭐ 560) - Medical image processing in Python.

(🥉22 · ⭐ 370) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed

(🥉22 · ⭐ 260) - An open-source toolkit for large-scale genomic analysis.

(🥉20 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis.

(🥉16 · ⭐ 840 · 💀) - A medical imaging framework for Pytorch.

(🥉15 · ⭐ 1.3K · 💀) - The Medical Detection Toolkit contains 2D + 3D..

(🥉13 · ⭐ 120 · 💀) - A deep learning python package for neuroimaging data. Made by:.

(🥉12 · ⭐ 1.9K · 💀) - Many studies have shown that the performance on deep learning is..

Tabular Data

Libraries for processing tabular and structured data.

(🥇23 · ⭐ 1.2K) - A standard framework for modelling Deep Learning Models..

GitHub (👨‍💻 21 · 🔀 130 · 📥 27 · 📋 140 - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/manujosephv/pytorch_tabular
```
PyPi (📥 5.4K / month · 📦 2 · ⏱️ 15.01.2024): pip install pytorch_tabular

(🥈22 · ⭐ 320) - Multiple Imputation with LightGBM in Python.

GitHub (👨‍💻 8 · 🔀 27 · 📦 140 · 📋 82 - 26% open · ⏱️ 27.04.2024):
```
git clone https://github.com/AnotherSamWilson/miceforest
```
PyPi (📥 46K / month · 📦 5 · ⏱️ 16.11.2023): pip install miceforest
Conda (📥 13K · ⏱️ 16.06.2023): conda install -c conda-forge miceforest

(🥉17 · ⭐ 400) - Deep Learning PyTorch.

GitHub (👨‍💻 1 · 🔀 38 · 📦 5 · 📋 82 - 2% open · ⏱️ 18.03.2024):
```
git clone https://github.com/carefree0910/carefree-learn
```
PyPi (📥 400 / month · ⏱️ 09.01.2024): pip install carefree-learn

Show 2 hidden projects…

(🥉21 · ⭐ 300) - Data search & enrichment library for Machine Learning Easily find and add..

(🥉12 · ⭐ 530 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai).

Optical Character Recognition

Libraries for optical character recognition (OCR) and text extraction from images or videos.

(🥇40 · ⭐ 39K) - Awesome multilingual OCR toolkits based on PaddlePaddle..

GitHub (👨‍💻 200 · 🔀 7.3K · 📦 2.7K · 📋 9.2K - 5% open · ⏱️ 06.06.2024):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
PyPi (📥 190K / month · 📦 65 · ⏱️ 29.03.2024): pip install paddleocr

(🥇35 · ⭐ 22K · 💤) - Ready-to-use OCR with 80+ supported languages and all popular..

GitHub (👨‍💻 130 · 🔀 3K · 📥 11M · 📦 6.7K · 📋 980 - 40% open · ⏱️ 04.09.2023):
```
git clone https://github.com/JaidedAI/EasyOCR
```
PyPi (📥 270K / month · 📦 180 · ⏱️ 04.09.2023): pip install easyocr

(🥇35 · ⭐ 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them..

GitHub (👨‍💻 96 · 🔀 910 · 📥 3.6K · 📦 840 · 📋 1.1K - 9% open · ⏱️ 01.06.2024):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
PyPi (📥 93K / month · 📦 25 · ⏱️ 21.05.2024): pip install ocrmypdf
Conda (📥 67K · ⏱️ 16.06.2023): conda install -c conda-forge ocrmypdf

(🥈32 · ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API.

GitHub (👨‍💻 30 · 🔀 250 · 📥 250 · 📦 990 · 📋 280 - 18% open · ⏱️ 27.04.2024):
```
git clone https://github.com/sirfz/tesserocr
```
PyPi (📥 66K / month · 📦 34 · ⏱️ 27.04.2024): pip install tesserocr
Conda (📥 140K · ⏱️ 16.06.2023): conda install -c conda-forge tesserocr

(🥈30 · ⭐ 5.6K) - Python-tesseract is an optical character recognition (OCR) tool..

GitHub (👨‍💻 49 · 🔀 700 · 📋 360 - 3% open · ⏱️ 08.05.2024):
```
git clone https://github.com/madmaze/pytesseract
```
PyPi (📥 2.1M / month · 📦 850 · ⏱️ 16.08.2022): pip install pytesseract
Conda (📥 610K · ⏱️ 15.10.2023): conda install -c conda-forge pytesseract

(🥉26 · ⭐ 4.1K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox.

GitHub (👨‍💻 90 · 🔀 720 · 📦 130 · 📋 910 - 18% open · ⏱️ 23.04.2024):
```
git clone https://github.com/open-mmlab/mmocr
```
PyPi (📥 6K / month · 📦 3 · ⏱️ 05.05.2022): pip install mmocr

(🥉26 · ⭐ 1.3K · 💤) - A packaged and flexible version of the CRAFT text detector..

GitHub (👨‍💻 18 · 🔀 330 · 📥 1.3M · 📦 480 · 📋 210 - 46% open · ⏱️ 06.11.2023):
```
git clone https://github.com/faustomorales/keras-ocr
```
PyPi (📥 48K / month · 📦 8 · ⏱️ 06.11.2023): pip install keras-ocr
Conda (📥 310 · ⏱️ 16.06.2023): conda install -c anaconda keras-ocr

(🥉21 · ⭐ 1K · 💤) - Line based ATR Engine based on OCRopy.

GitHub (👨‍💻 20 · 🔀 210 · 📋 270 - 23% open · ⏱️ 18.08.2023):
```
git clone https://github.com/Calamari-OCR/calamari
```
PyPi (📥 2.4K / month · 📦 5 · ⏱️ 18.08.2023): pip install calamari_ocr

(🥉20 · ⭐ 1.1K · 💤) - A Tensorflow model for text recognition (CNN + seq2seq..

GitHub (👨‍💻 28 · 🔀 250 · 📦 28 · 📋 150 - 16% open · ⏱️ 20.10.2023):
```
git clone https://github.com/emedvedev/attention-ocr
```
PyPi (📥 130 / month · ⏱️ 19.04.2019): pip install aocr

Show 3 hidden projects…

(🥉22 · ⭐ 2.2K · 💀) - A set of tools for extracting tables from PDF files..

(🥉20 · ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python..

(🥉10 · ⭐ 580 · 💀) - An optical music recognition (OMR) system. Converts sheet..

Data Containers & Structures

General-purpose data containers & structures as well as utilities & extensions for pandas.

🔗 ( ⭐ 3.5K) - Collection of data-container, dataframe, and pandas-..

Data Loading & Extraction

Libraries for loading, collecting, and extracting data from a variety of data sources and formats.

🔗 ( ⭐ 3.5K) - Collection of data-loading and -extraction libraries.

Web Scraping & Crawling

Libraries for web scraping, crawling, downloading, and mining as well as libraries.

🔗 ( ⭐ 2.2K) - Collection of web-scraping and crawling libraries.

Data Pipelines & Streaming

Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.

🔗 ( ⭐ 3.5K) - Libraries for data batch- and stream-processing,..

Distributed Machine Learning

Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure.

(🥇44 · ⭐ 32K) - Ray is a unified framework for scaling AI and Python applications. Ray..

GitHub (👨‍💻 1K · 🔀 5.3K · 📥 210 · 📦 16K · 📋 18K - 20% open · ⏱️ 06.06.2024):
```
git clone https://github.com/ray-project/ray
```
PyPi (📥 4M / month · 📦 700 · ⏱️ 22.05.2024): pip install ray
Conda (📥 230K · ⏱️ 29.05.2024): conda install -c conda-forge ray-tune

(🥇44 · ⭐ 12K) - Parallel computing with task scheduling.

GitHub (👨‍💻 600 · 🔀 1.7K · 📦 61K · 📋 5.2K - 20% open · ⏱️ 05.06.2024):
```
git clone https://github.com/dask/dask
```
PyPi (📥 8.9M / month · 📦 2.1K · ⏱️ 31.05.2024): pip install dask
Conda (📥 11M · ⏱️ 31.05.2024): conda install -c conda-forge dask

(🥇41 · ⭐ 33K) - DeepSpeed is a deep learning optimization library that makes..

GitHub (👨‍💻 320 · 🔀 3.9K · 📦 7.3K · 📋 2.7K - 39% open · ⏱️ 05.06.2024):
```
git clone https://github.com/microsoft/DeepSpeed
```
PyPi (📥 530K / month · 📦 170 · ⏱️ 23.04.2024): pip install deepspeed
Docker Hub (📥 18K · ⭐ 4 · ⏱️ 02.09.2022): docker pull deepspeed/deepspeed

(🥇40 · ⭐ 1.5K) - A distributed task scheduler for Dask.

GitHub (👨‍💻 320 · 🔀 710 · 📦 35K · 📋 3.9K - 39% open · ⏱️ 05.06.2024):
```
git clone https://github.com/dask/distributed
```
PyPi (📥 4.2M / month · 📦 750 · ⏱️ 31.05.2024): pip install distributed
Conda (📥 14M · ⏱️ 31.05.2024): conda install -c conda-forge distributed

(🥈35 · ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and..

GitHub (👨‍💻 170 · 🔀 2.2K · 📦 1.2K · 📋 2.2K - 17% open · ⏱️ 25.03.2024):
```
git clone https://github.com/horovod/horovod
```
PyPi (📥 95K / month · 📦 29 · ⏱️ 12.06.2023): pip install horovod

(🥈35 · ⭐ 6.8K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning..

GitHub (👨‍💻 260 · 🔀 2K · 📦 21 · 📋 9.4K - 29% open · ⏱️ 04.06.2024):
```
git clone https://github.com/h2oai/h2o-3
```
PyPi (📥 290K / month · 📦 46 · ⏱️ 13.05.2024): pip install h2o

(🥈35 · ⭐ 2K) - Torchmetrics - Machine learning metrics for distributed, scalable..

GitHub (👨‍💻 240 · 🔀 380 · 📥 5.2K · 📦 26K · 📋 830 - 8% open · ⏱️ 06.06.2024):
```
git clone https://github.com/Lightning-AI/metrics
```
PyPi (📥 4.3K / month · 📦 2 · ⏱️ 28.04.2018): pip install metrics
Conda (📥 1.4M · ⏱️ 16.05.2024): conda install -c conda-forge torchmetrics

(🥈34 · ⭐ 38K) - Making large AI models cheaper, faster and more accessible.

GitHub (👨‍💻 190 · 🔀 4.2K · 📦 380 · 📋 1.6K - 25% open · ⏱️ 06.06.2024):
```
git clone https://github.com/hpcaitech/colossalai
```

(🥈33 · ⭐ 6.1K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,..

GitHub (👨‍💻 100 · 🔀 1.2K · 📥 500 · 📦 51 · 📋 2.3K - 35% open · ⏱️ 06.06.2024):
```
git clone https://github.com/intel-analytics/BigDL
```
PyPi (📥 3.3K / month · 📦 2 · ⏱️ 24.03.2024): pip install bigdl
Maven (📦 5 · ⏱️ 20.04.2021): <dependency> <groupId>com.intel.analytics.bigdl</groupId> <artifactId>bigdl-SPARK_2.4</artifactId> <version>[VERSION]</version> </dependency>

(🥈32 · ⭐ 3K) - PyTorch extensions for high performance and large scale training.

GitHub (👨‍💻 75 · 🔀 260 · 📦 5.3K · 📋 380 - 25% open · ⏱️ 03.05.2024):
```
git clone https://github.com/facebookresearch/fairscale
```
PyPi (📥 510K / month · 📦 66 · ⏱️ 11.12.2022): pip install fairscale
Conda (📥 210K · ⏱️ 28.11.2023): conda install -c conda-forge fairscale

(🥈30 · ⭐ 880) - Scalable Machine Learning with Dask.

GitHub (👨‍💻 78 · 🔀 250 · 📦 1K · 📋 530 - 51% open · ⏱️ 02.04.2024):
```
git clone https://github.com/dask/dask-ml
```
PyPi (📥 250K / month · 📦 89 · ⏱️ 02.04.2024): pip install dask-ml
Conda (📥 830K · ⏱️ 21.03.2024): conda install -c conda-forge dask-ml

(🥈30 · ⭐ 760) - Python bindings for MPI.

GitHub (👨‍💻 26 · 🔀 110 · 📥 24K · 📋 160 - 4% open · ⏱️ 03.06.2024):
```
git clone https://github.com/mpi4py/mpi4py
```
PyPi (📥 300K / month · 📦 680 · ⏱️ 14.04.2024): pip install mpi4py
Conda (📥 2.5M · ⏱️ 25.05.2024): conda install -c conda-forge mpi4py

(🥈29 · ⭐ 5K) - Simple and Distributed Machine Learning.

GitHub (👨‍💻 120 · 🔀 820 · 📋 750 - 46% open · ⏱️ 21.05.2024):
```
git clone https://github.com/microsoft/SynapseML
```
PyPi (📥 220K / month · 📦 5 · ⏱️ 11.04.2024): pip install synapseml

(🥉27 · ⭐ 1.8K) - Petastorm library enables single machine or distributed training..

GitHub (👨‍💻 50 · 🔀 280 · 📥 460 · 📦 170 · 📋 320 - 53% open · ⏱️ 02.12.2023):
```
git clone https://github.com/uber/petastorm
```
PyPi (📥 75K / month · 📦 8 · ⏱️ 03.02.2023): pip install petastorm

(🥉26 · ⭐ 1.1K · 💤) - Python 3.8+ toolbox for submitting jobs to Slurm.

GitHub (👨‍💻 23 · 🔀 110 · 📦 2.7K · 📋 120 - 36% open · ⏱️ 09.11.2023):
```
git clone https://github.com/facebookincubator/submitit
```
PyPi (📥 300K / month · 📦 39 · ⏱️ 09.11.2023): pip install submitit
Conda (📥 37K · ⏱️ 24.11.2023): conda install -c conda-forge submitit

(🥉25 · ⭐ 3.3K) - a distributed deep learning platform.

GitHub (👨‍💻 90 · 🔀 1.2K · 📦 3 · 📋 130 - 40% open · ⏱️ 23.05.2024):
```
git clone https://github.com/apache/singa
```
Conda (📥 750 · ⏱️ 16.06.2023): conda install -c nusdbsystem singa
Docker Hub (📥 6.6K · ⭐ 4 · ⏱️ 31.05.2022): docker pull apache/singa

(🥉24 · ⭐ 1.9K) - Decentralized deep learning in PyTorch. Built to train models on..

GitHub (👨‍💻 29 · 🔀 130 · 📦 100 · 📋 170 - 40% open · ⏱️ 04.12.2023):
```
git clone https://github.com/learning-at-home/hivemind
```
PyPi (📥 3.4K / month · 📦 10 · ⏱️ 31.08.2023): pip install hivemind

(🥉22 · ⭐ 5K) - Simple and Distributed Machine Learning.

GitHub (👨‍💻 120 · 🔀 820 · 📋 750 - 46% open · ⏱️ 21.05.2024):
```
git clone https://github.com/microsoft/SynapseML
```
PyPi (📥 1 / month · ⏱️ 18.03.2020): pip install mmlspark

(🥉22 · ⭐ 1.6K · 💤) - Mesh TensorFlow: Model Parallelism Made Easier.

GitHub (👨‍💻 50 · 🔀 260 · 📋 120 - 84% open · ⏱️ 17.11.2023):
```
git clone https://github.com/tensorflow/mesh
```
PyPi (📥 42K / month · 📦 3 · ⏱️ 15.05.2022): pip install mesh-tensorflow

(🥉21 · ⭐ 2.6K · 🐣) - Distributed Tensorflow, Keras and PyTorch on Apache..

GitHub (👨‍💻 110 · 🔀 730 · 📋 1.3K - 32% open · ⏱️ 08.04.2024):
```
git clone https://github.com/intel-analytics/analytics-zoo
```
PyPi (📥 350 / month · 📦 1 · ⏱️ 22.08.2022): pip install analytics-zoo

(🥉21 · ⭐ 310 · 💤) - Launchpad is a library that simplifies writing..

GitHub (👨‍💻 28 · 🔀 34 · 📦 98 · 📋 40 - 47% open · ⏱️ 22.08.2023):
```
git clone https://github.com/deepmind/launchpad
```
PyPi (📥 1.5K / month · 📦 1 · ⏱️ 28.04.2022): pip install dm-launchpad

Show 15 hidden projects…

(🥈32 · ⭐ 5.6K) - Distributed Evolutionary Algorithms in Python.

(🥈30 · ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed

(🥉27 · ⭐ 3.9K · 💀) - TensorFlowOnSpark brings TensorFlow programs to..

(🥉27 · ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark. keras

(🥉22 · ⭐ 280 · 💀) - Distributed scikit-learn meta-estimators in PySpark.

(🥉21 · ⭐ 260) - Massively parallel self-organizing maps: accelerate training on multicore..

(🥉20 · ⭐ 3.6K · 💀) - A high performance and generic framework for distributed DNN..

(🥉20 · ⭐ 750 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on..

(🥉18 · ⭐ 6.2K · 💀) - Model parallel transformers in JAX and Haiku.

(🥉18 · ⭐ 760 · 💀) - Parallelformers: An Efficient Model Parallelization..

(🥉18 · ⭐ 290 · 💀) - Distributed and decentralized training framework for PyTorch..

(🥉17 · ⭐ 1K · 💀) - Distributed Computing for AI Made Simple.

(🥉13 · ⭐ 50 · 💀) - Distributed machine learning made simple.

(🥉11 · ⭐ 360 · 💀) - A library for distributed ML training with PyTorch.

(🥉10 · ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow.

Hyperparameter Optimization & AutoML

Libraries for hyperparameter optimization, automl and neural architecture search.

(🥇34 · ⭐ 7.1K) - An open source python library for automated feature engineering.

GitHub (👨‍💻 72 · 🔀 860 · 📦 1.7K · 📋 1K - 14% open · ⏱️ 03.06.2024):
```
git clone https://github.com/alteryx/featuretools
```
PyPi (📥 67K / month · 📦 73 · ⏱️ 14.05.2024): pip install featuretools
Conda (📥 190K · ⏱️ 15.05.2024): conda install -c conda-forge featuretools

(🥇34 · ⭐ 3K) - Bayesian optimization in PyTorch.

GitHub (👨‍💻 110 · 🔀 370 · 📦 1K · 📋 500 - 14% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/botorch
```
PyPi (📥 160K / month · 📦 74 · ⏱️ 01.05.2024): pip install botorch
Conda (📥 110K · ⏱️ 01.05.2024): conda install -c conda-forge botorch

(🥇34 · ⭐ 2.3K) - Adaptive Experimentation Platform.

GitHub (👨‍💻 170 · 🔀 290 · 📦 730 · 📋 740 - 15% open · ⏱️ 05.06.2024):
```
git clone https://github.com/facebook/Ax
```
PyPi (📥 95K / month · 📦 48 · ⏱️ 02.05.2024): pip install ax-platform
Conda (📥 20K · ⏱️ 03.05.2024): conda install -c conda-forge ax-platform

(🥇33 · ⭐ 14K · 💤) - An open source AutoML toolkit for automate machine learning lifecycle,..

GitHub (👨‍💻 190 · 🔀 1.8K · 📦 660 · 📋 2.1K - 18% open · ⏱️ 26.10.2023):
```
git clone https://github.com/microsoft/nni
```
PyPi (📥 15K / month · 📦 38 · ⏱️ 14.09.2023): pip install nni

(🥇33 · ⭐ 7.3K) - Fast and Accurate ML in 3 Lines of Code.

GitHub (👨‍💻 120 · 🔀 860 · 📦 720 · 📋 1.3K - 26% open · ⏱️ 05.06.2024):
```
git clone https://github.com/autogluon/autogluon
```
PyPi (📥 77K / month · 📦 24 · ⏱️ 06.06.2024): pip install autogluon
Docker Hub (📥 8K · ⭐ 17 · ⏱️ 07.03.2024): docker pull autogluon/autogluon

(🥈32 · ⭐ 9.1K) - AutoML library for deep learning.

GitHub (👨‍💻 140 · 🔀 1.4K · 📥 18K · 📦 680 · 📋 900 - 15% open · ⏱️ 20.03.2024):
```
git clone https://github.com/keras-team/autokeras
```
PyPi (📥 18K / month · 📦 13 · ⏱️ 20.03.2024): pip install autokeras

(🥈32 · ⭐ 7.6K) - A Python implementation of global optimization with..

GitHub (👨‍💻 44 · 🔀 1.5K · 📥 150 · 📦 2.7K · 📋 340 - 3% open · ⏱️ 06.03.2024):
```
git clone https://github.com/fmfn/BayesianOptimization
```
PyPi (📥 530K / month · 📦 130 · ⏱️ 25.04.2023): pip install bayesian-optimization

(🥈32 · ⭐ 7.1K) - Distributed Asynchronous Hyperparameter Optimization in Python.

GitHub (👨‍💻 100 · 🔀 1K · 📦 15K · 📋 660 - 31% open · ⏱️ 13.03.2024):
```
git clone https://github.com/hyperopt/hyperopt
```
PyPi (📥 2.4M / month · 📦 430 · ⏱️ 17.11.2021): pip install hyperopt
Conda (📥 770K · ⏱️ 16.06.2023): conda install -c conda-forge hyperopt

(🥈32 · ⭐ 2.8K) - A Hyperparameter Tuning Library for Keras.

GitHub (👨‍💻 61 · 🔀 380 · 📦 3.8K · 📋 480 - 43% open · ⏱️ 04.03.2024):
```
git clone https://github.com/keras-team/keras-tuner
```
PyPi (📥 270K / month · 📦 100 · ⏱️ 04.03.2024): pip install keras-tuner
Conda (📥 32K · ⏱️ 05.03.2024): conda install -c conda-forge keras-tuner

(🥈30 · ⭐ 3.9K) - A Python toolbox for performing gradient-free optimization.

GitHub (👨‍💻 55 · 🔀 350 · 📦 690 · 📋 300 - 42% open · ⏱️ 08.04.2024):
```
git clone https://github.com/facebookresearch/nevergrad
```
PyPi (📥 240K / month · 📦 46 · ⏱️ 20.02.2024): pip install nevergrad
Conda (📥 49K · ⏱️ 09.01.2024): conda install -c conda-forge nevergrad

(🥈28 · ⭐ 3K) - Python package for AutoML on Tabular Data with Feature..

GitHub (👨‍💻 26 · 🔀 390 · 📦 110 · 📋 630 - 24% open · ⏱️ 03.06.2024):
```
git clone https://github.com/mljar/mljar-supervised
```
PyPi (📥 2.9K / month · 📦 3 · ⏱️ 03.06.2024): pip install mljar-supervised
Conda (📥 15K · ⏱️ 03.06.2024): conda install -c conda-forge mljar-supervised

(🥈27 · ⭐ 1.6K) - Hyperparameter Experiments with TensorFlow and Keras.

GitHub (👨‍💻 23 · 🔀 270 · 📦 170 · 📋 400 - 2% open · ⏱️ 22.04.2024):
```
git clone https://github.com/autonomio/talos
```
PyPi (📥 1.3K / month · 📦 8 · ⏱️ 21.04.2024): pip install talos

(🥈26 · ⭐ 2.7K) - Lazy Predict help build a lot of basic models without much code..

GitHub (👨‍💻 18 · 🔀 310 · 📦 960 · 📋 120 - 66% open · ⏱️ 02.06.2024):
```
git clone https://github.com/shankarpandala/lazypredict
```
PyPi (📥 19K / month · 📦 1 · ⏱️ 28.09.2022): pip install lazypredict
Conda (📥 3K · ⏱️ 16.06.2023): conda install -c conda-forge lazypredict

(🥉24 · ⭐ 620) - Automated modeling and machine learning framework FEDOT.

GitHub (👨‍💻 33 · 🔀 84 · 📦 46 · 📋 540 - 17% open · ⏱️ 29.05.2024):
```
git clone https://github.com/nccr-itmo/FEDOT
```
PyPi (📥 1.3K / month · 📦 5 · ⏱️ 03.05.2024): pip install fedot

(🥉23 · ⭐ 560) - Use advanced feature engineering strategies and select best..

GitHub (👨‍💻 18 · 🔀 85 · 📦 68 · 📋 92 - 1% open · ⏱️ 02.05.2024):
```
git clone https://github.com/AutoViML/featurewiz
```
PyPi (📥 8.9K / month · 📦 2 · ⏱️ 10.02.2024): pip install featurewiz

(🥉23 · ⭐ 510) - Automatically Build Multiple ML Models with a Single Line of Code…

GitHub (👨‍💻 9 · 🔀 99 · 📦 25 · 📋 34 - 2% open · ⏱️ 11.05.2024):
```
git clone https://github.com/AutoViML/Auto_ViML
```
PyPi (📥 2K / month · 📦 3 · ⏱️ 11.05.2024): pip install autoviml

(🥉23 · ⭐ 490) - An optimization and data collection toolbox for convenient and fast..

GitHub (👨‍💻 7 · 🔀 41 · 📥 140 · 📦 29 · 📋 60 - 13% open · ⏱️ 01.06.2024):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
PyPi (📥 2.9K / month · 📦 13 · ⏱️ 17.05.2024): pip install hyperactive

(🥉19 · ⭐ 1.1K) - Python AutoML for Trading Systems and Sports Betting.

GitHub (👨‍💻 5 · 🔀 190 · 📦 4 · 📋 42 - 30% open · ⏱️ 10.02.2024):
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
PyPi (📥 150 / month · ⏱️ 29.08.2020): pip install alphapy

(🥉19 · ⭐ 540) - A python package for simultaneous Hyperparameters Tuning and..

GitHub (👨‍💻 3 · 🔀 68 · 📦 16 · 📋 33 - 12% open · ⏱️ 21.02.2024):
```
git clone https://github.com/cerlymarco/shap-hypetune
```
PyPi (📥 1.2K / month · 📦 2 · ⏱️ 21.02.2024): pip install shap-hypetune

(🥉17 · ⭐ 600) - Opytimizer is a Python library consisting of meta-heuristic..

GitHub (👨‍💻 4 · 🔀 41 · 📦 16 · 📋 21 - 4% open · ⏱️ 21.12.2023):
```
git clone https://github.com/gugarosa/opytimizer
```
PyPi (📥 250 / month · ⏱️ 04.05.2022): pip install opytimizer

Show 32 hidden projects…

(🥇39 · ⭐ 9.9K) - A hyperparameter optimization framework. ❗Unlicensed

(🥇34 · ⭐ 2.7K · 💀) - Sequential model-based optimization with a..

(🥇33 · ⭐ 9.5K) - A Python Automated Machine Learning tool that optimizes machine..

(🥈30 · ⭐ 7.4K · 💀) - Automated Machine Learning with scikit-learn.

(🥈27 · ⭐ 2.2K · 💀) - Keras + Hyperopt: A very simple wrapper for convenient..

(🥈26 · ⭐ 430) - Lightwood is Legos for Machine Learning.

(🥈25 · ⭐ 1K) - SMAC3: A Versatile Bayesian Optimization Package for..

(🥈25 · ⭐ 920 · 💀) - Gaussian Process Optimization using GPy.

(🥉23 · ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees.

(🥉22 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production.

(🥉22 · ⭐ 740 · 💀) - Python library to easily log experiments and parallelize..

(🥉22 · ⭐ 610 · 💀) - a distributed Hyperband implementation on Steroids.

(🥉22 · ⭐ 280 · 💤) - Asynchronous Distributed Hyperparameter Optimization.

(🥉21 · ⭐ 1.5K · 💀) - MLBox is a powerful Automated Machine Learning python library.

(🥉21 · ⭐ 600 · 💀) - The worlds cleanest AutoML library - Do hyperparameter tuning..

(🥉21 · ⭐ 410 · 💀) - optimization routines for hyperparameter tuning.

(🥉20 · ⭐ 760 · 💀) - Use evolutionary algorithms instead of gridsearch in..

(🥉19 · ⭐ 3.1K · 💀) - a delightful machine learning tool that allows you to train, test, and..

(🥉19 · ⭐ 840 · 💀) - An open source python library for scalable Bayesian optimisation.

(🥉18 · ⭐ 520 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for..

(🥉18 · ⭐ 330 · 💀) - Hyperparameter optimization that enables researchers to..

(🥉17 · ⭐ 1.5K · 💀) - Open-source implementation of Google Vizier for hyper parameters..

(🥉17 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated..

(🥉16 · ⭐ 700 · 💀) - Easy hyperparameter optimization and automatic result..

(🥉16 · ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of..

(🥉15 · ⭐ 1.8K · 💀) - Provide an input CSV and a target field to predict, generate a..

(🥉13 · ⭐ 2.7K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via..

(🥉12 · ⭐ 200 · 💀) - An automatic ML model optimization tool.

(🥉11 · ⭐ 3.3K · 💀) - AutoML algorithms for model architecture search at scale.

(🥉11 · ⭐ 950 · 💀) - Genetic neural architecture search with Keras.

(🥉11 · ⭐ 110) - Better, faster hyper-parameter optimization.

(🥉9 · ⭐ 140 · 💀) - A toolset for black-box hyperparameter optimisation.

Reinforcement Learning

Libraries for building and evaluating reinforcement learning & agent-based systems.

(🥇29 · ⭐ 9.3K) - FinRL: Financial Reinforcement Learning.

GitHub (👨‍💻 110 · 🔀 2.2K · 📦 40 · 📋 700 - 31% open · ⏱️ 04.06.2024):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
PyPi (📥 940 / month · ⏱️ 08.01.2022): pip install finrl

(🥈28 · ⭐ 10K) - Dopamine is a research framework for fast prototyping of..

GitHub (👨‍💻 15 · 🔀 1.4K · 📦 21 · 📋 190 - 53% open · ⏱️ 06.05.2024):
```
git clone https://github.com/google/dopamine
```
PyPi (📥 32K / month · 📦 10 · ⏱️ 06.05.2024): pip install dopamine-rl

(🥈28 · ⭐ 3.4K) - A library of reinforcement learning components and agents.

GitHub (👨‍💻 85 · 🔀 410 · 📦 200 · 📋 260 - 23% open · ⏱️ 20.05.2024):
```
git clone https://github.com/deepmind/acme
```
PyPi (📥 1.5K / month · 📦 3 · ⏱️ 10.02.2022): pip install dm-acme
Conda (📥 8.7K · ⏱️ 16.06.2023): conda install -c conda-forge dm-acme

(🥈27 · ⭐ 1.7K) - Reinforcement Learning environments based on the 1993 game Doom.

GitHub (👨‍💻 54 · 🔀 380 · 📥 12K · 📦 240 · 📋 460 - 8% open · ⏱️ 13.02.2024):
```
git clone https://github.com/mwydmuch/ViZDoom
```
PyPi (📥 2.3K / month · 📦 13 · ⏱️ 16.12.2023): pip install vizdoom

(🥈26 · ⭐ 2.7K · 📉) - TF-Agents: A reliable, scalable and easy to use..

GitHub (👨‍💻 150 · 🔀 720 · 📋 660 - 29% open · ⏱️ 20.03.2024):
```
git clone https://github.com/tensorflow/agents
```
PyPi (📥 40K / month · 📦 12 · ⏱️ 14.12.2023): pip install tf-agents

(🥈26 · ⭐ 1.2K) - A library of reinforcement learning building blocks in JAX.

GitHub (👨‍💻 21 · 🔀 83 · 📦 230 · 📋 25 - 28% open · ⏱️ 24.05.2024):
```
git clone https://github.com/deepmind/rlax
```
PyPi (📥 1.9M / month · 📦 11 · ⏱️ 09.01.2023): pip install rlax

(🥉25 · ⭐ 3.2K) - A high-performance distributed training framework for Reinforcement..

GitHub (👨‍💻 45 · 🔀 810 · 📦 130 · 📋 530 - 25% open · ⏱️ 23.05.2024):
```
git clone https://github.com/PaddlePaddle/PARL
```
PyPi (📥 910 / month · 📦 1 · ⏱️ 13.05.2022): pip install parl

(🥉24 · ⭐ 3.3K · 📉) - Tensorforce: a TensorFlow library for applied..

GitHub (👨‍💻 85 · 🔀 540 · 📋 670 - 5% open · ⏱️ 09.04.2024):
```
git clone https://github.com/tensorforce/tensorforce
```
PyPi (📥 700 / month · 📦 4 · ⏱️ 30.08.2021): pip install tensorforce

(🥉23 · ⭐ 3.5K) - A platform for Reasoning systems (Reinforcement Learning,..

GitHub (👨‍💻 170 · 🔀 510 · 📋 160 - 53% open · ⏱️ 15.05.2024):
```
git clone https://github.com/facebookresearch/ReAgent
```
PyPi (📥 23 / month · ⏱️ 27.05.2020): pip install reagent

(🥉23 · ⭐ 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library.

GitHub (👨‍💻 20 · 🔀 150 · 📦 110 · 📋 79 - 41% open · ⏱️ 29.04.2024):
```
git clone https://github.com/pfnet/pfrl
```
PyPi (📥 380 / month · 📦 1 · ⏱️ 16.07.2023): pip install pfrl

(🥉13 · ⭐ 710) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL..

GitHub (👨‍💻 7 · 🔀 43 · 📦 140 · 📋 17 - 23% open · ⏱️ 28.05.2024):
```
git clone https://github.com/google-research/rliable
```
PyPi: pip install rliable`

Show 12 hidden projects…

(🥇40 · ⭐ 34K · 💀) - A toolkit for developing and comparing reinforcement learning..

(🥇29 · ⭐ 15K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement..

(🥈28 · ⭐ 5.5K · 💀) - Deep Reinforcement Learning for Keras.

(🥈27 · ⭐ 7.3K · 💀) - Deep Learning and Reinforcement Learning Library for..

(🥉25 · ⭐ 1.8K · 💀) - A toolkit for reproducible reinforcement learning research.

(🥉24 · ⭐ 4.1K · 💀) - A fork of OpenAI Baselines, implementations of..

(🥉24 · ⭐ 1.2K · 💀) - ChainerRL is a deep reinforcement learning library built on top of..

(🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning.

(🥉20 · ⭐ 2.3K · 💀) - Reinforcement Learning Coach by Intel AI Lab enables easy..

(🥉18 · ⭐ 6.7K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to..

(🥉17 · ⭐ 7K · 💀) - A customisable 3D platform for agent-based AI research. ❗Unlicensed

(🥉12 · ⭐ 260 · 💀) - Maze Applied Reinforcement Learning Framework.

Recommender Systems

Libraries for building and evaluating recommendation systems.

(🥇35 · ⭐ 18K) - Best Practices on Recommendation Systems.

GitHub (👨‍💻 130 · 🔀 3K · 📥 500 · 📦 120 · 📋 840 - 18% open · ⏱️ 05.06.2024):
```
git clone https://github.com/microsoft/recommenders
```
PyPi (📥 29K / month · 📦 4 · ⏱️ 01.05.2024): pip install recommenders

(🥇31 · ⭐ 1.8K) - Pytorch domain library for recommendation systems.

GitHub (👨‍💻 240 · 🔀 360 · 📦 120 · 📋 360 - 70% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/torchrec
```
PyPi (📥 1.1K / month · ⏱️ 12.05.2022): pip install torchrec-nightly-cpu

(🥈30 · ⭐ 3.4K · 💤) - Fast Python Collaborative Filtering for Implicit Feedback Datasets.

GitHub (👨‍💻 34 · 🔀 600 · 📥 790 · 📦 1.3K · 📋 490 - 17% open · ⏱️ 21.11.2023):
```
git clone https://github.com/benfred/implicit
```
PyPi (📥 220K / month · 📦 28 · ⏱️ 29.09.2023): pip install implicit
Conda (📥 650K · ⏱️ 21.11.2023): conda install -c conda-forge implicit

(🥈30 · ⭐ 1.8K) - TensorFlow Recommenders is a library for building..

GitHub (👨‍💻 43 · 🔀 260 · 📦 330 · 📋 430 - 57% open · ⏱️ 16.02.2024):
```
git clone https://github.com/tensorflow/recommenders
```
PyPi (📥 470K / month · 📦 1 · ⏱️ 03.02.2023): pip install tensorflow-recommenders

(🥈29 · ⭐ 6.2K) - A Python scikit for building and analyzing recommender..

GitHub (👨‍💻 46 · 🔀 1K · 📦 21 · 📋 400 - 22% open · ⏱️ 19.05.2024):
```
git clone https://github.com/NicolasHug/Surprise
```
PyPi (📥 100K / month · 📦 36 · ⏱️ 19.05.2024): pip install scikit-surprise
Conda (📥 370K · ⏱️ 20.05.2024): conda install -c conda-forge scikit-surprise

(🥈28 · ⭐ 840) - A Comparative Framework for Multimodal Recommender Systems.

GitHub (👨‍💻 21 · 🔀 130 · 📦 220 · 📋 150 - 9% open · ⏱️ 24.05.2024):
```
git clone https://github.com/PreferredAI/cornac
```
PyPi (📥 38K / month · 📦 18 · ⏱️ 24.05.2024): pip install cornac
Conda (📥 390K · ⏱️ 24.05.2024): conda install -c conda-forge cornac

(🥉27 · ⭐ 2.7K) - Learning to Rank in TensorFlow.

GitHub (👨‍💻 34 · 🔀 470 · 📋 330 - 27% open · ⏱️ 18.03.2024):
```
git clone https://github.com/tensorflow/ranking
```
PyPi (📥 120K / month · 📦 15 · ⏱️ 18.03.2024): pip install tensorflow_ranking

(🥉25 · ⭐ 3.2K) - A unified, comprehensive and efficient recommendation library.

GitHub (👨‍💻 71 · 🔀 590 · 📋 940 - 26% open · ⏱️ 30.03.2024):
```
git clone https://github.com/RUCAIBox/RecBole
```
PyPi (📥 3.3K / month · 📦 2 · ⏱️ 31.10.2023): pip install recbole
Conda (📥 4.9K · ⏱️ 01.11.2023): conda install -c aibox recbole

(🥉20 · ⭐ 560 · 💤) - A library of metrics for evaluating recommender systems.

GitHub (👨‍💻 20 · 🔀 98 · 📥 6 · 📦 52 · 📋 28 - 46% open · ⏱️ 04.10.2023):
```
git clone https://github.com/statisticianinstilettos/recmetrics
```
PyPi (📥 19K / month · ⏱️ 26.04.2022): pip install recmetrics

Show 8 hidden projects…

(🥈29 · ⭐ 4.6K · 💀) - A Python implementation of LightFM, a hybrid recommendation..

(🥉26 · ⭐ 260) - Python recommendation toolkit.

(🥉21 · ⭐ 1.3K · 💀) - A TensorFlow recommendation algorithm and framework in..

(🥉21 · ⭐ 1.1K · 💀) - fastFM: A Library for Factorization Machines.

(🥉18 · ⭐ 2.9K · 💀) - Deep recommender models using PyTorch.

(🥉18 · ⭐ 460 · 💀) - Case Recommender: A Flexible and Extensible Python..

(🥉16 · ⭐ 410 · 💀) - OpenRec is an open-source and modular library for neural network-..

(🥉15 · ⭐ 100 · 💀) - A library for preparing, training, and evaluating scalable deep..

Privacy Machine Learning

Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy.

(🥇37 · ⭐ 9.3K) - Perform data science on data that remains in someone elses server.

GitHub (👨‍💻 510 · 🔀 2K · 📥 2.5K · 📦 1 · 📋 3.4K - 0% open · ⏱️ 05.06.2024):
```
git clone https://github.com/OpenMined/PySyft
```
PyPi (📥 13K / month · 📦 3 · ⏱️ 03.06.2024): pip install syft

(🥈29 · ⭐ 1.6K) - Training PyTorch models with differential privacy.

GitHub (👨‍💻 79 · 🔀 320 · 📥 110 · 📦 810 · 📋 300 - 27% open · ⏱️ 31.05.2024):
```
git clone https://github.com/pytorch/opacus
```
PyPi (📥 150K / month · 📦 32 · ⏱️ 11.02.2024): pip install opacus
Conda (📥 14K · ⏱️ 11.02.2024): conda install -c conda-forge opacus

(🥈26 · ⭐ 1.9K) - Library for training machine learning models with..

GitHub (👨‍💻 59 · 🔀 450 · 📥 160 · 📋 200 - 55% open · ⏱️ 13.05.2024):
```
git clone https://github.com/tensorflow/privacy
```
PyPi (📥 21K / month · 📦 15 · ⏱️ 14.02.2024): pip install tensorflow-privacy

(🥉25 · ⭐ 5.6K) - An Industrial Grade Federated Learning Framework.

GitHub (👨‍💻 100 · 🔀 1.5K · 📋 2K - 43% open · ⏱️ 08.03.2024):
```
git clone https://github.com/FederatedAI/FATE
```
PyPi (⏱️ 06.05.2020): pip install ETAF

(🥉24 · ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning.

GitHub (👨‍💻 36 · 🔀 270 · 📦 36 · 📋 270 - 28% open · ⏱️ 23.05.2024):
```
git clone https://github.com/facebookresearch/CrypTen
```
PyPi (📥 290 / month · 📦 1 · ⏱️ 08.12.2022): pip install crypten

Show 2 hidden projects…

(🥉24 · ⭐ 1.2K · 💀) - A Framework for Encrypted Machine Learning in..

(🥉18 · ⭐ 270) - PipelineDP is a Python framework for applying differentially..

Workflow & Experiment Tracking

Libraries to organize, track, and visualize machine learning experiments.

(🥇44 · ⭐ 18K) - Open source platform for the machine learning lifecycle.

GitHub (👨‍💻 730 · 🔀 4K · 📦 37K · 📋 3.9K - 37% open · ⏱️ 06.06.2024):
```
git clone https://github.com/mlflow/mlflow
```
PyPi (📥 14M / month · 📦 780 · ⏱️ 06.06.2024): pip install mlflow
Conda (📥 2M · ⏱️ 06.06.2024): conda install -c conda-forge mlflow

(🥇44 · ⭐ 6.6K) - TensorFlows Visualization Toolkit.

GitHub (👨‍💻 320 · 🔀 1.6K · 📦 240K · 📋 1.9K - 35% open · ⏱️ 05.06.2024):
```
git clone https://github.com/tensorflow/tensorboard
```
PyPi (📥 27M / month · 📦 2K · ⏱️ 16.02.2024): pip install tensorboard
Conda (📥 4.7M · ⏱️ 18.02.2024): conda install -c conda-forge tensorboard

(🥇42 · ⭐ 8.4K) - A tool for visualizing and tracking your machine learning..

GitHub (👨‍💻 180 · 🔀 610 · 📦 47K · 📋 3.1K - 26% open · ⏱️ 06.06.2024):
```
git clone https://github.com/wandb/client
```
PyPi (📥 14M / month · 📦 1.2K · ⏱️ 07.05.2024): pip install wandb
Conda (📥 520K · ⏱️ 25.03.2024): conda install -c conda-forge wandb

(🥇41 · ⭐ 13K) - ML Experiments and Data Management with Git.

GitHub (👨‍💻 300 · 🔀 1.2K · 📥 40K · 📦 16K · 📋 4.6K - 4% open · ⏱️ 03.06.2024):
```
git clone https://github.com/iterative/dvc
```
PyPi (📥 490K / month · 📦 120 · ⏱️ 03.06.2024): pip install dvc
Conda (📥 1.9M · ⏱️ 03.06.2024): conda install -c conda-forge dvc

(🥇41 · ⭐ 2.1K · 📈) - A library for training and deploying machine learning..

GitHub (👨‍💻 440 · 🔀 1.1K · 📦 4K · 📋 1.5K - 19% open · ⏱️ 05.06.2024):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
PyPi (📥 24M / month · 📦 130 · ⏱️ 22.05.2024): pip install sagemaker
Conda (📥 820K · ⏱️ 23.05.2024): conda install -c conda-forge sagemaker-python-sdk

(🥈37 · ⭐ 8.6K) - An open-source, low-code machine learning library in Python.

GitHub (👨‍💻 140 · 🔀 1.7K · 📥 690 · 📦 5.8K · 📋 2.3K - 15% open · ⏱️ 28.04.2024):
```
git clone https://github.com/pycaret/pycaret
```
PyPi (📥 330K / month · 📦 30 · ⏱️ 28.04.2024): pip install pycaret
Conda (📥 47K · ⏱️ 25.04.2024): conda install -c conda-forge pycaret

(🥈34 · ⭐ 5.3K) - ClearML - Auto-Magical CI/CD to streamline your AI workload…

GitHub (👨‍💻 98 · 🔀 640 · 📥 2.5K · 📦 1.1K · 📋 1K - 45% open · ⏱️ 05.06.2024):
```
git clone https://github.com/allegroai/clearml
```
PyPi (📥 310K / month · 📦 34 · ⏱️ 21.05.2024): pip install clearml
Docker Hub (📥 30K · ⏱️ 05.10.2020): docker pull allegroai/trains

(🥈33 · ⭐ 7.7K) - Build and manage real-life ML, AI, and data science projects with..

GitHub (👨‍💻 90 · 🔀 730 · 📦 670 · 📋 700 - 46% open · ⏱️ 05.06.2024):
```
git clone https://github.com/Netflix/metaflow
```
PyPi (📥 310K / month · 📦 45 · ⏱️ 05.06.2024): pip install metaflow
Conda (📥 180K · ⏱️ 04.06.2024): conda install -c conda-forge metaflow

(🥈33 · ⭐ 4K) - Python notebooks with ML and deep learning examples with Azure Machine..

GitHub (👨‍💻 64 · 🔀 2.5K · 📥 620 · 📋 1.5K - 26% open · ⏱️ 16.05.2024):
```
git clone https://github.com/Azure/MachineLearningNotebooks
```
PyPi (📥 540K / month · 📦 48 · ⏱️ 29.04.2024): pip install azureml-sdk

(🥈33 · ⭐ 2.1K) - This is the development home of the workflow management system..

GitHub (👨‍💻 330 · 🔀 520 · 📦 2K · 📋 1.7K - 61% open · ⏱️ 05.06.2024):
```
git clone https://github.com/snakemake/snakemake
```
PyPi (📥 43K / month · 📦 220 · ⏱️ 05.06.2024): pip install snakemake
Conda (📥 1.1M · ⏱️ 05.06.2024): conda install -c bioconda snakemake

(🥈32 · ⭐ 7.8K · 💤) - tensorboard for pytorch (and chainer, mxnet, numpy, …).

GitHub (👨‍💻 82 · 🔀 870 · 📥 420 · 📦 44K · 📋 450 - 17% open · ⏱️ 12.11.2023):
```
git clone https://github.com/lanpa/tensorboardX
```
PyPi (📥 2.2M / month · 📦 600 · ⏱️ 20.08.2023): pip install tensorboardX
Conda (📥 1.2M · ⏱️ 20.08.2023): conda install -c conda-forge tensorboardx

(🥈32 · ⭐ 6K) - Official Kaggle API.

GitHub (👨‍💻 42 · 🔀 1K · 📦 21 · 📋 460 - 32% open · ⏱️ 17.05.2024):
```
git clone https://github.com/Kaggle/kaggle-api
```
PyPi (📥 210K / month · 📦 180 · ⏱️ 17.05.2024): pip install kaggle
Conda (📥 160K · ⏱️ 17.05.2024): conda install -c conda-forge kaggle

(🥈32 · ⭐ 4.9K) - Aim An easy-to-use & supercharged open-source experiment tracker.

GitHub (👨‍💻 64 · 🔀 290 · 📦 580 · 📋 1K - 34% open · ⏱️ 03.06.2024):
```
git clone https://github.com/aimhubio/aim
```
PyPi (📥 73K / month · 📦 36 · ⏱️ 05.06.2024): pip install aim
Conda (📥 49K · ⏱️ 16.06.2023): conda install -c conda-forge aim

(🥈31 · ⭐ 550) - The MLOps stack component for experiment tracking.

GitHub (👨‍💻 54 · 🔀 61 · 📦 500 · 📋 230 - 9% open · ⏱️ 05.06.2024):
```
git clone https://github.com/neptune-ai/neptune-client
```
PyPi (📥 520K / month · 📦 77 · ⏱️ 15.05.2024): pip install neptune-client
Conda (📥 250K · ⏱️ 15.05.2024): conda install -c conda-forge neptune-client

(🥈29 · ⭐ 4.7K · 💤) - Deep Learning Visualization Toolkit.

GitHub (👨‍💻 33 · 🔀 630 · 📥 380 · 📦 2.9K · 📋 500 - 28% open · ⏱️ 20.09.2023):
```
git clone https://github.com/PaddlePaddle/VisualDL
```
PyPi (📥 220K / month · 📦 46 · ⏱️ 05.06.2023): pip install visualdl

(🥈29 · ⭐ 4.2K · 💤) - Sacred is a tool to help you configure, organize, log and reproduce..

GitHub (👨‍💻 100 · 🔀 380 · 📦 3K · 📋 560 - 17% open · ⏱️ 13.11.2023):
```
git clone https://github.com/IDSIA/sacred
```
PyPi (📥 31K / month · 📦 58 · ⏱️ 13.11.2023): pip install sacred
Conda (📥 5.4K · ⏱️ 28.11.2023): conda install -c conda-forge sacred

(🥉27 · ⭐ 1.9K) - Monitor deep learning model training and hardware usage from your mobile..

GitHub (👨‍💻 9 · 🔀 130 · 📦 150 · 📋 39 - 43% open · ⏱️ 28.05.2024):
```
git clone https://github.com/labmlai/labml
```
PyPi (📥 2.5K / month · 📦 12 · ⏱️ 23.05.2024): pip install labml

(🥉26 · ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities.

GitHub (👨‍💻 130 · 🔀 260 · 📋 140 - 53% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pytorch/tnt
```
PyPi (📥 7.4K / month · 📦 24 · ⏱️ 29.07.2018): pip install torchnet

(🥉26 · ⭐ 600) - For recording and retrieving metadata associated with ML..

GitHub (👨‍💻 19 · 🔀 130 · 📥 2.2K · 📦 460 · 📋 120 - 34% open · ⏱️ 04.06.2024):
```
git clone https://github.com/google/ml-metadata
```
PyPi (📥 88K / month · 📦 31 · ⏱️ 23.04.2024): pip install ml-metadata

(🥉26 · ⭐ 580 · 📈) - pyspark methods to enhance developer productivity.

GitHub (👨‍💻 28 · 🔀 91 · 📥 23 · 📦 77 · 📋 120 - 31% open · ⏱️ 07.05.2024):
```
git clone https://github.com/MrPowers/quinn
```
PyPi (📥 760K / month · 📦 7 · ⏱️ 13.02.2024): pip install quinn

(🥉25 · ⭐ 300) - Gokart solves reproducibility, task dependencies, constraints of good code,..

GitHub (👨‍💻 41 · 🔀 56 · 📦 78 · 📋 80 - 25% open · ⏱️ 21.05.2024):
```
git clone https://github.com/m3dev/gokart
```
PyPi (📥 2.7K / month · 📦 8 · ⏱️ 21.05.2024): pip install gokart

(🥉23 · ⭐ 860 · 💤) - Experiment tracking, ML developer tools.

GitHub (👨‍💻 29 · 🔀 85 · 📥 16 · 📦 96 · 📋 440 - 50% open · ⏱️ 12.08.2023):
```
git clone https://github.com/guildai/guildai
```
PyPi (📥 1.3K / month · ⏱️ 11.05.2022): pip install guildai

(🥉21 · ⭐ 380 · 💤) - Studio: Simplify and expedite model building process.

GitHub (👨‍💻 24 · 🔀 52 · 📦 5 · 📋 250 - 22% open · ⏱️ 06.09.2023):
```
git clone https://github.com/studioml/studio
```
PyPi (📥 770 / month · ⏱️ 14.09.2021): pip install studioml

(🥉20 · ⭐ 3.4K · 💤) - Debugging, monitoring and visualization for Python Machine..

GitHub (👨‍💻 15 · 🔀 360 · 📦 140 · 📋 70 - 75% open · ⏱️ 30.08.2023):
```
git clone https://github.com/microsoft/tensorwatch
```
PyPi (📥 820 / month · 📦 7 · ⏱️ 04.03.2020): pip install tensorwatch

(🥉16) - Supercharging Machine Learning.

GitHub:

git clone https://github.com/comet-ml/examples

PyPi (📥 710K / month · 📦 68 · ⏱️ 29.05.2024): pip install comet_ml
Conda: conda install -c anaconda comet_ml

(🥉15 · ⭐ 490) - Research workflows made easy, locally and in the Cloud.

GitHub (👨‍💻 10 · 🔀 67 · 📋 34 - 55% open · ⏱️ 25.01.2024):
```
git clone https://github.com/google/caliban
```
PyPi (📥 71 / month · ⏱️ 12.09.2020): pip install caliban

Show 14 hidden projects…

(🥉28 · ⭐ 3.2K · 💀) - Accelerated deep learning R&D.

(🥉26 · ⭐ 2.8K · 💀) - Knock Knock: Get notified when your training ends with only two..

(🥉25 · ⭐ 1.3K · 💀) - Live training loss plot in Jupyter Notebook for Keras,..

(🥉23 · ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine..

(🥉22 · ⭐ 1.8K · 💀) - Neural network graphs and training metrics for..

(🥉21 · ⭐ 630 · 💀) - Log TensorBoard events without touching TensorFlow.

(🥉20 · ⭐ 1.6K · 💀) - Lore makes machine learning approachable for Software Engineers and..

(🥉18 · ⭐ 1.6K · 💀) - Version control for machine learning.

(🥉17 · ⭐ 340 · 💀) - Open source production model management tool for data scientists.

(🥉17 · ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies..

(🥉16 · ⭐ 320 · 💀) - Logging MXNet data for visualization in TensorBoard.

(🥉16 · ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation.

(🥉12 · ⭐ 130 · 💀) - Experiment tracking for machine and deep learning projects.

(🥉9 · ⭐ 12 · 💀) - Train off-the-shelf machine learning models in one..

Model Serialization & Deployment

Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment.

(🥇43 · ⭐ 17K) - Open standard for machine learning interoperability.

GitHub (👨‍💻 320 · 🔀 3.6K · 📥 21K · 📦 29K · 📋 2.8K - 11% open · ⏱️ 03.06.2024):
```
git clone https://github.com/onnx/onnx
```
PyPi (📥 5.7M / month · 📦 930 · ⏱️ 23.05.2024): pip install onnx
Conda (📥 1M · ⏱️ 24.05.2024): conda install -c conda-forge onnx

(🥇43 · ⭐ 12K) - Development repository for the Triton language and compiler.

GitHub (👨‍💻 280 · 🔀 1.3K · 📦 27K · 📋 1.2K - 42% open · ⏱️ 06.06.2024):
```
git clone https://github.com/openai/triton
```
PyPi (📥 12M / month · 📦 180 · ⏱️ 27.05.2024): pip install triton

(🥈38 · ⭐ 1.8K) - The official Python client for the Huggingface Hub.

GitHub (👨‍💻 170 · 🔀 460 · 📋 830 - 16% open · ⏱️ 05.06.2024):
```
git clone https://github.com/huggingface/huggingface_hub
```
PyPi (📥 36M / month · 📦 1.3K · ⏱️ 05.06.2024): pip install huggingface_hub
Conda (📥 1.8M · ⏱️ 05.06.2024): conda install -c conda-forge huggingface_hub

(🥈35 · ⭐ 6.7K) - The easiest way to serve AI/ML models in production - Build Model..

GitHub (👨‍💻 200 · 🔀 760 · 📥 1.6K · 📦 1.8K · 📋 1.1K - 22% open · ⏱️ 06.06.2024):
```
git clone https://github.com/bentoml/BentoML
```
PyPi (📥 100K / month · 📦 23 · ⏱️ 03.06.2024): pip install bentoml

(🥈35 · ⭐ 4.1K) - Core ML tools contain supporting tools for Core ML model..

GitHub (👨‍💻 170 · 🔀 600 · 📥 9.7K · 📦 3.9K · 📋 1.4K - 22% open · ⏱️ 17.05.2024):
```
git clone https://github.com/apple/coremltools
```
PyPi (📥 550K / month · 📦 71 · ⏱️ 23.04.2024): pip install coremltools
Conda (📥 59K · ⏱️ 16.06.2023): conda install -c conda-forge coremltools

(🥈35 · ⭐ 4K) - Serve, optimize and scale PyTorch models in production.

GitHub (👨‍💻 200 · 🔀 820 · 📥 5.7K · 📦 660 · 📋 1.6K - 23% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pytorch/serve
```
PyPi (📥 59K / month · 📦 21 · ⏱️ 16.05.2024): pip install torchserve
Conda (📥 190K · ⏱️ 16.05.2024): conda install -c pytorch torchserve
Docker Hub (📥 1.3M · ⭐ 27 · ⏱️ 16.05.2024): docker pull pytorch/torchserve

(🥈26 · ⭐ 1.1K) - Machine learning on FPGAs using HLS.

GitHub (👨‍💻 61 · 🔀 360 · 📋 410 - 38% open · ⏱️ 31.05.2024):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
PyPi (📥 940 / month · ⏱️ 19.12.2023): pip install hls4ml
Conda (📥 7.7K · ⏱️ 16.06.2023): conda install -c conda-forge hls4ml

(🥉25 · ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for..

GitHub (👨‍💻 40 · 🔀 270 · 📥 500 · 📋 320 - 18% open · ⏱️ 30.05.2024):
```
git clone https://github.com/microsoft/hummingbird
```
PyPi (📥 4.7K / month · 📦 4 · ⏱️ 08.03.2024): pip install hummingbird-ml
Conda (📥 41K · ⏱️ 08.03.2024): conda install -c conda-forge hummingbird-ml

(🥉21 · ⭐ 8.4K · 💤) - The user analytics platform for LLMs.

GitHub (👨‍💻 40 · 🔀 640 · 📋 200 - 48% open · ⏱️ 28.10.2023):
```
git clone https://github.com/nebuly-ai/nebullvm
```
PyPi (📥 540 / month · 📦 2 · ⏱️ 18.06.2023): pip install nebullvm

(🥉16 · ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to..

GitHub (👨‍💻 4 · 🔀 38 · 📋 34 - 32% open · ⏱️ 25.02.2024):
```
git clone https://github.com/riga/tfdeploy
```
PyPi (📥 54 / month · ⏱️ 30.03.2017): pip install tfdeploy

Show 10 hidden projects…

(🥈26 · ⭐ 5.8K · 💀) - MMdnn is a set of tools to help users inter-operate among different deep..

(🥉25 · ⭐ 2.7K · 💀) - Transform ML models into a native code (Java, C, Python, Go,..

(🥉24 · ⭐ 1.3K · 💀) - Transpile trained scikit-learn estimators to C, Java,..

(🥉22 · ⭐ 8K · 💀) - Production infrastructure for machine learning at scale.

(🥉20 · ⭐ 250) - Represent trained machine learning models as Pyomo optimization formulations.

(🥉19 · ⭐ 850 · 💀) - PyTorch to Keras model convertor.

(🥉19 · ⭐ 150) - Toolkit for developing and maintaining ML models.

(🥉18 · ⭐ 240) - Highly optimized inference engine for Binarized..

(🥉13 · ⭐ 2.5K · 💀) - Reference implementation of the Transformer.. ❗Unlicensed

(🥉13 · ⭐ 240 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-..

Model Interpretability

Libraries to visualize, explain, debug, evaluate, and interpret machine learning models.

(🥇42 · ⭐ 22K) - A game theoretic approach to explain the output of any machine learning model.

GitHub (👨‍💻 240 · 🔀 3.2K · 📦 18K · 📋 2.5K - 32% open · ⏱️ 04.06.2024):
```
git clone https://github.com/slundberg/shap
```
PyPi (📥 6.8M / month · 📦 690 · ⏱️ 07.05.2024): pip install shap
Conda (📥 2.9M · ⏱️ 08.05.2024): conda install -c conda-forge shap

(🥇36 · ⭐ 1.5K) - Exploratory analysis of Bayesian models with Python.

GitHub (👨‍💻 160 · 🔀 380 · 📥 140 · 📦 6.7K · 📋 850 - 20% open · ⏱️ 05.06.2024):
```
git clone https://github.com/arviz-devs/arviz
```
PyPi (📥 2.4M / month · 📦 280 · ⏱️ 05.04.2024): pip install arviz
Conda (📥 2.1M · ⏱️ 04.06.2024): conda install -c conda-forge arviz

(🥇34 · ⭐ 27K) - Visualizer for neural network, deep learning and machine learning..

GitHub (👨‍💻 2 · 🔀 2.7K · 📥 110K · 📦 12 · 📋 1.1K - 2% open · ⏱️ 06.06.2024):
```
git clone https://github.com/lutzroeder/netron
```
PyPi (📥 25K / month · 📦 79 · ⏱️ 01.06.2024): pip install netron

(🥇33 · ⭐ 6.1K) - Fit interpretable models. Explain blackbox machine learning.

GitHub (👨‍💻 44 · 🔀 720 · 📦 690 · 📋 430 - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/interpretml/interpret
```
PyPi (📥 81K / month · 📦 45 · ⏱️ 14.04.2024): pip install interpret

(🥇32 · ⭐ 4.6K) - Model interpretability and understanding for PyTorch.

GitHub (👨‍💻 110 · 🔀 460 · 📦 2.1K · 📋 550 - 38% open · ⏱️ 31.05.2024):
```
git clone https://github.com/pytorch/captum
```
PyPi (📥 240K / month · 📦 110 · ⏱️ 05.12.2023): pip install captum
Conda (📥 26K · ⏱️ 16.06.2023): conda install -c conda-forge captum

(🥇32 · ⭐ 2.2K) - Quickly build Explainable AI dashboards that show the inner..

GitHub (👨‍💻 21 · 🔀 320 · 📦 490 · 📋 240 - 14% open · ⏱️ 18.03.2024):
```
git clone https://github.com/oegedijk/explainerdashboard
```
PyPi (📥 81K / month · 📦 10 · ⏱️ 18.03.2024): pip install explainerdashboard
Conda (📥 46K · ⏱️ 18.03.2024): conda install -c conda-forge explainerdashboard

(🥇32 · ⭐ 1.9K) - Evaluate: A library for easily evaluating machine learning models..

GitHub (👨‍💻 130 · 🔀 220 · 📦 9.7K · 📋 310 - 57% open · ⏱️ 30.04.2024):
```
git clone https://github.com/huggingface/evaluate
```
PyPi (📥 2.7M / month · 📦 340 · ⏱️ 30.04.2024): pip install evaluate

(🥈30 · ⭐ 1.8K) - Python library for interactive topic model visualization. Port of..

GitHub (👨‍💻 43 · 🔀 360 · 📦 6.1K · 📋 190 - 40% open · ⏱️ 29.04.2024):
```
git clone https://github.com/bmabey/pyLDAvis
```
PyPi (📥 150K / month · 📦 99 · ⏱️ 23.04.2023): pip install pyldavis
Conda (📥 81K · ⏱️ 16.06.2023): conda install -c conda-forge pyldavis

(🥈30 · ⭐ 1.3K) - Responsible AI Toolbox is a suite of tools providing..

GitHub (👨‍💻 42 · 🔀 320 · 📦 100 · 📋 320 - 27% open · ⏱️ 21.05.2024):
```
git clone https://github.com/microsoft/responsible-ai-toolbox
```
PyPi (📥 12K / month · 📦 6 · ⏱️ 20.05.2024): pip install raiwidgets

(🥈29 · ⭐ 6.8K) - DoWhy is a Python library for causal inference that supports explicit..

GitHub (👨‍💻 90 · 🔀 900 · 📥 35 · 📦 380 · 📋 450 - 28% open · ⏱️ 05.06.2024):
```
git clone https://github.com/py-why/dowhy
```
PyPi (📥 45K / month · 📦 7 · ⏱️ 25.12.2023): pip install dowhy
Conda (📥 22K · ⏱️ 26.01.2024): conda install -c conda-forge dowhy

(🥈29 · ⭐ 2.7K) - Shapash: User-friendly Explainability and Interpretability to..

GitHub (👨‍💻 38 · 🔀 320 · 📦 160 · 📋 190 - 17% open · ⏱️ 06.05.2024):
```
git clone https://github.com/MAIF/shapash
```
PyPi (📥 6.9K / month · 📦 4 · ⏱️ 06.05.2024): pip install shapash

(🥈29 · ⭐ 1.8K) - A Python package to assess and improve fairness of machine..

GitHub (👨‍💻 82 · 🔀 390 · 📦 3 · 📋 460 - 36% open · ⏱️ 04.06.2024):
```
git clone https://github.com/fairlearn/fairlearn
```
PyPi (📥 230K / month · 📦 50 · ⏱️ 19.12.2023): pip install fairlearn
Conda (📥 33K · ⏱️ 20.12.2023): conda install -c conda-forge fairlearn

(🥈29 · ⭐ 1.2K) - Model analysis tools for TensorFlow.

GitHub (👨‍💻 57 · 🔀 270 · 📦 2 · 📋 88 - 37% open · ⏱️ 25.04.2024):
```
git clone https://github.com/tensorflow/model-analysis
```
PyPi (📥 77K / month · 📦 23 · ⏱️ 25.04.2024): pip install tensorflow-model-analysis

(🥈28 · ⭐ 2.9K) - A python library for decision tree visualization and model interpretation.

GitHub (👨‍💻 26 · 🔀 330 · 📦 1.2K · 📋 200 - 32% open · ⏱️ 06.01.2024):
```
git clone https://github.com/parrt/dtreeviz
```
PyPi (📥 140K / month · 📦 24 · ⏱️ 07.07.2022): pip install dtreeviz
Conda (📥 71K · ⏱️ 13.07.2023): conda install -c conda-forge dtreeviz

(🥈28 · ⭐ 2.3K) - A comprehensive set of fairness metrics for datasets and..

GitHub (👨‍💻 73 · 🔀 810 · 📦 420 · 📋 290 - 64% open · ⏱️ 08.04.2024):
```
git clone https://github.com/Trusted-AI/AIF360
```
PyPi (📥 31K / month · 📦 26 · ⏱️ 08.04.2024): pip install aif360
Conda (📥 11K · ⏱️ 09.04.2024): conda install -c conda-forge aif360

(🥈28 · ⭐ 1.3K) - Interpretable ML package for concise, transparent, and accurate..

GitHub (👨‍💻 24 · 🔀 120 · 📦 72 · 📋 85 - 37% open · ⏱️ 26.05.2024):
```
git clone https://github.com/csinva/imodels
```
PyPi (📥 65K / month · 📦 9 · ⏱️ 23.05.2024): pip install imodels

(🥈27 · ⭐ 4.2K · 💤) - Visual analysis and diagnostic tools to facilitate..

GitHub (👨‍💻 110 · 🔀 550 · 📋 700 - 13% open · ⏱️ 05.07.2023):
```
git clone https://github.com/DistrictDataLabs/yellowbrick
```
PyPi (📥 530K / month · 📦 97 · ⏱️ 21.08.2022): pip install yellowbrick
Conda (📥 79K · ⏱️ 16.06.2023): conda install -c conda-forge yellowbrick

(🥈27 · ⭐ 3.4K) - The Learning Interpretability Tool: Interactively analyze ML models to..

GitHub (👨‍💻 36 · 🔀 340 · 📦 34 · 📋 180 - 53% open · ⏱️ 17.04.2024):
```
git clone https://github.com/PAIR-code/lit
```
PyPi (📥 3.4K / month · 📦 3 · ⏱️ 09.04.2024): pip install lit-nlp
Conda (📥 74K · ⏱️ 16.06.2023): conda install -c conda-forge lit-nlp

(🥉25 · ⭐ 2.2K) - A Python library that helps data scientists to infer..

GitHub (👨‍💻 40 · 🔀 250 · 📦 110 · 📋 140 - 16% open · ⏱️ 10.02.2024):
```
git clone https://github.com/quantumblacklabs/causalnex
```
PyPi (📥 2.1K / month · 📦 4 · ⏱️ 22.06.2023): pip install causalnex

(🥉25 · ⭐ 640) - Bias Auditing & Fair ML Toolkit.

GitHub (👨‍💻 21 · 🔀 110 · 📦 160 · 📋 100 - 54% open · ⏱️ 13.05.2024):
```
git clone https://github.com/dssg/aequitas
```
PyPi (📥 22K / month · 📦 7 · ⏱️ 30.01.2024): pip install aequitas

(🥉24 · ⭐ 2K · 💤) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList.

GitHub (👨‍💻 15 · 🔀 200 · 📦 350 · 📋 94 - 11% open · ⏱️ 26.09.2023):
```
git clone https://github.com/marcotcr/checklist
```
PyPi (📥 1.3K / month · 📦 8 · ⏱️ 24.05.2021): pip install checklist
Conda (📥 7.2K · ⏱️ 16.06.2023): conda install -c conda-forge checklist

(🥉24 · ⭐ 1.2K · 💤) - A toolbox to iNNvestigate neural networks predictions!.

GitHub (👨‍💻 20 · 🔀 240 · 📥 100 · 📦 130 · 📋 260 - 21% open · ⏱️ 12.10.2023):
```
git clone https://github.com/albermax/innvestigate
```
PyPi (📥 800 / month · 📦 2 · ⏱️ 12.10.2023): pip install innvestigate

(🥉23 · ⭐ 1.5K) - Interpretability and explainability of data and..

GitHub (👨‍💻 41 · 🔀 300 · 📦 90 · 📋 84 - 64% open · ⏱️ 05.03.2024):
```
git clone https://github.com/Trusted-AI/AIX360
```
PyPi (📥 490 / month · 📦 1 · ⏱️ 31.07.2023): pip install aix360

(🥉23 · ⭐ 1K · 💤) - Layers Outputs and Gradients in Keras. Made easy.

GitHub (👨‍💻 16 · 🔀 180 · 📦 210 · 📋 89 - 3% open · ⏱️ 17.11.2023):
```
git clone https://github.com/philipperemy/keract
```
PyPi (📥 5K / month · 📦 9 · ⏱️ 25.09.2022): pip install keract

(🥉22 · ⭐ 890) - Source code/webpage/demos for the What-If Tool.

GitHub (👨‍💻 20 · 🔀 160 · 📦 2 · 📋 140 - 60% open · ⏱️ 01.02.2024):
```
git clone https://github.com/PAIR-code/what-if-tool
```
PyPi (📥 3.4K / month · 📦 6 · ⏱️ 12.10.2021): pip install witwidget
Conda (📥 2.2M · ⏱️ 16.06.2023): conda install -c conda-forge tensorboard-plugin-wit
npm (📥 1.1K / month · 📦 3 · ⏱️ 12.10.2021): npm install wit-widget

(🥉21 · ⭐ 1.9K · 💤) - Explain, analyze, and visualize NLP language models. Ecco creates..

GitHub (👨‍💻 11 · 🔀 160 · 📥 94 · 📦 28 · 📋 63 - 50% open · ⏱️ 10.08.2023):
```
git clone https://github.com/jalammar/ecco
```
PyPi (📥 300 / month · 📦 1 · ⏱️ 09.01.2022): pip install ecco
Conda (📥 4.7K · ⏱️ 16.06.2023): conda install -c conda-forge ecco

(🥉21 · ⭐ 1.3K) - Generate Diverse Counterfactual Explanations for any machine..

GitHub (👨‍💻 19 · 🔀 180 · 📋 170 - 45% open · ⏱️ 17.04.2024):
```
git clone https://github.com/interpretml/DiCE
```
PyPi (📥 55K / month · 📦 6 · ⏱️ 27.10.2023): pip install dice-ml

(🥉21 · ⭐ 400 · 💤) - A toolkit that streamlines and automates the..

GitHub (👨‍💻 22 · 🔀 83 · 📥 18 · 📦 23 · 📋 33 - 30% open · ⏱️ 26.07.2023):
```
git clone https://github.com/tensorflow/model-card-toolkit
```
PyPi (📥 1.2K / month · 📦 1 · ⏱️ 28.04.2022): pip install model-card-toolkit

(🥉19 · ⭐ 810) - Leave One Feature Out Importance.

GitHub (👨‍💻 6 · 🔀 82 · 📦 28 · 📋 26 - 11% open · ⏱️ 16.01.2024):
```
git clone https://github.com/aerdem4/lofo-importance
```
PyPi (📥 4.2K / month · 📦 4 · ⏱️ 16.01.2024): pip install lofo-importance

(🥉19 · ⭐ 330) - Tensorflows Fairness Evaluation and Visualization..

GitHub (👨‍💻 36 · 🔀 77 · 📋 35 - 74% open · ⏱️ 26.04.2024):
```
git clone https://github.com/tensorflow/fairness-indicators
```
PyPi (📥 780 / month · ⏱️ 26.04.2024): pip install fairness-indicators

(🥉15 · ⭐ 720 · 💤) - Visualization toolkit for neural networks in PyTorch! Demo –.

GitHub (👨‍💻 2 · 🔀 87 · 📦 17 · 📋 32 - 31% open · ⏱️ 21.09.2023):
```
git clone https://github.com/MisaOgura/flashtorch
```
PyPi (📥 130 / month · ⏱️ 29.05.2020): pip install flashtorch

(🥉15 · ⭐ 400 · 📉) - Explainable AI framework for data scientists. Explain & debug any..

GitHub (👨‍💻 5 · 🔀 53 · 📥 16 · 📋 39 - 25% open · ⏱️ 15.01.2024):
```
git clone https://github.com/explainX/explainx
```
PyPi (📥 1.1K / month · ⏱️ 04.02.2021): pip install explainx

(🥉14 · ⭐ 400) - A library that incorporates state-of-the-art explainers for..

GitHub (👨‍💻 18 · 🔀 67 · 📋 100 - 84% open · ⏱️ 05.02.2024):
```
git clone https://github.com/interpretml/interpret-text
```
PyPi (📥 97 / month · ⏱️ 07.12.2021): pip install interpret-text

Show 21 hidden projects…

(🥇33 · ⭐ 11K · 💀) - Lime: Explaining the predictions of any machine learning classifier.

(🥈29 · ⭐ 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &..

(🥈28 · ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to..

(🥈28 · ⭐ 2.3K) - Algorithms for explaining machine learning models.

(🥈27 · ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation.

(🥉26 · ⭐ 2.7K · 💀) - A library for debugging/inspecting machine learning classifiers and..

(🥉25 · ⭐ 4.6K · 💀) - A collection of infrastructure and tools for research in..

(🥉25 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras.

(🥉23 · ⭐ 1K · 💀) - Interpretability Methods for tf.keras models with Tensorflow..

(🥉22 · ⭐ 590 · 💀) - Code to compute permutation and drop-column..

(🥉21 · ⭐ 800 · 💀) - Public facing deeplift repo.

(🥉21 · ⭐ 740 · 💀) - Package for interpreting scikit-learns decision tree..

(🥉21 · ⭐ 510) - Quantus is an eXplainable AI toolkit for responsible evaluation of..

(🥉20 · ⭐ 620 · 💀) - Code for the TCAV ML interpretability project.

(🥉18 · ⭐ 1.1K · 💀) - XAI - An eXplainability toolbox for machine learning.

(🥉18 · ⭐ 430 · 💀) - Machine learning model evaluation made easy: plots,..

(🥉16 · ⭐ 790 · 💀) - Code for High-Precision Model-Agnostic Explanations paper.

(🥉14 · ⭐ 1.1K · 💤) - Python Library for Model Interpretation/Explanations.

(🥉12 · ⭐ 120 · 💀) - Tools for training explainable models using..

(🥉12 · ⭐ 85 · 💀) - Contextual AI adds explainability to different stages of..

(🥉12 · ⭐ 44) - Bias Detector is a python package for detecting bias in machine..

Vector Similarity Search (ANN)

Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search.

🔗 ( ⭐ 4.7K) - Benchmarks of approximate nearest neighbor libraries in Python.

(🥇41 · ⭐ 28K) - A cloud-native vector database, storage for next generation AI..

GitHub (👨‍💻 280 · 🔀 2.7K · 📥 230K · 📋 11K - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/milvus-io/milvus
```
PyPi (📥 550K / month · 📦 120 · ⏱️ 17.05.2024): pip install pymilvus
Docker Hub (📥 17M · ⭐ 45 · ⏱️ 06.06.2024): docker pull milvusdb/milvus

(🥇40 · ⭐ 29K) - A library for efficient similarity search and clustering of dense vectors.

GitHub (👨‍💻 180 · 🔀 3.4K · 📦 3.7K · 📋 2.4K - 18% open · ⏱️ 05.06.2024):
```
git clone https://github.com/facebookresearch/faiss
```
PyPi (📥 550K / month · 📦 120 · ⏱️ 17.05.2024): pip install pymilvus
Conda (📥 1.2M · ⏱️ 16.06.2023): conda install -c conda-forge faiss

(🥈35 · ⭐ 13K · 💤) - Approximate Nearest Neighbors in C++/Python optimized for memory..

GitHub (👨‍💻 88 · 🔀 1.1K · 📦 3.9K · 📋 400 - 14% open · ⏱️ 20.08.2023):
```
git clone https://github.com/spotify/annoy
```
PyPi (📥 1.1M / month · 📦 190 · ⏱️ 14.06.2023): pip install annoy
Conda (📥 420K · ⏱️ 02.05.2024): conda install -c conda-forge python-annoy

(🥈32 · ⭐ 4.1K) - Header-only C++/python library for fast approximate nearest neighbors.

GitHub (👨‍💻 72 · 🔀 590 · 📦 6.5K · 📋 370 - 57% open · ⏱️ 03.12.2023):
```
git clone https://github.com/nmslib/hnswlib
```
PyPi (📥 850K / month · 📦 120 · ⏱️ 03.12.2023): pip install hnswlib
Conda (📥 170K · ⏱️ 27.09.2023): conda install -c conda-forge hnswlib

(🥉30 · ⭐ 1.8K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in..

GitHub (👨‍💻 36 · 🔀 100 · 📥 1.3K · 📦 80 · 📋 120 - 34% open · ⏱️ 29.04.2024):
```
git clone https://github.com/unum-cloud/usearch
```
PyPi (📥 63K / month · 📦 6 · ⏱️ 29.04.2024): pip install usearch
npm (📥 6K / month · 📦 14 · ⏱️ 10.04.2024): npm install usearch
Docker Hub (📥 75 · ⭐ 1 · ⏱️ 29.04.2024): docker pull unum/usearch

(🥉29 · ⭐ 860) - A Python nearest neighbor descent for approximate nearest neighbors.

GitHub (👨‍💻 29 · 🔀 100 · 📦 6.6K · 📋 140 - 52% open · ⏱️ 15.05.2024):
```
git clone https://github.com/lmcinnes/pynndescent
```
PyPi (📥 1.5M / month · 📦 140 · ⏱️ 29.03.2024): pip install pynndescent
Conda (📥 1.9M · ⏱️ 29.03.2024): conda install -c conda-forge pynndescent

(🥉22 · ⭐ 1.2K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-..

GitHub (👨‍💻 14 · 🔀 110 · 📋 130 - 12% open · ⏱️ 13.05.2024):
```
git clone https://github.com/yahoojapan/NGT
```
PyPi (📥 5.1K / month · 📦 8 · ⏱️ 06.12.2023): pip install ngt

(🥉19 · ⭐ 570 · 💤) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs..

GitHub (👨‍💻 20 · 🔀 75 · 📦 31 · 📋 35 - 37% open · ⏱️ 27.06.2023):
```
git clone https://github.com/kakao/n2
```
PyPi (📥 230 / month · 📦 4 · ⏱️ 16.10.2020): pip install n2

Show 4 hidden projects…

(🥈31 · ⭐ 3.3K · 💀) - Non-Metric Space Library (NMSLIB): An efficient similarity search..

(🥉22 · ⭐ 1.6K · 💀) - A fast, efficient universal vector embedding utility package.

(🥉20 · ⭐ 760 · 💀) - Python framework for fast (approximated) nearest neighbour search in..

(🥉11 · ⭐ 920 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!.

Probabilistics & Statistics

Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics.

(🥇41 · ⭐ 8.2K) - Bayesian Modeling and Probabilistic Programming in Python.

GitHub (👨‍💻 490 · 🔀 1.9K · 📥 1.9K · 📦 3.4K · 📋 3.3K - 8% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pymc-devs/pymc
```
PyPi (📥 900K / month · 📦 190 · ⏱️ 31.05.2024): pip install pymc3
Conda (📥 570K · ⏱️ 02.06.2024): conda install -c conda-forge pymc3

(🥇38 · ⭐ 4.1K) - Probabilistic reasoning and statistical analysis in..

GitHub (👨‍💻 490 · 🔀 1.1K · 📋 1.4K - 47% open · ⏱️ 24.05.2024):
```
git clone https://github.com/tensorflow/probability
```
PyPi (📥 3.3M / month · 📦 570 · ⏱️ 12.03.2024): pip install tensorflow-probability
Conda (📥 130K · ⏱️ 27.05.2024): conda install -c conda-forge tensorflow-probability

(🥇34 · ⭐ 8.4K) - Deep universal probabilistic programming with Python and PyTorch.

GitHub (👨‍💻 160 · 🔀 990 · 📋 1.1K - 23% open · ⏱️ 01.06.2024):
```
git clone https://github.com/pyro-ppl/pyro
```
PyPi (📥 290K / month · 📦 180 · ⏱️ 02.06.2024): pip install pyro-ppl
Conda (📥 170K · ⏱️ 03.06.2024): conda install -c conda-forge pyro-ppl

(🥈32 · ⭐ 2.6K) - Python Library for learning (Structure and Parameter), inference..

GitHub (👨‍💻 130 · 🔀 690 · 📥 360 · 📦 1K · 📋 900 - 30% open · ⏱️ 01.06.2024):
```
git clone https://github.com/pgmpy/pgmpy
```
PyPi (📥 52K / month · 📦 43 · ⏱️ 08.03.2024): pip install pgmpy

(🥈31 · ⭐ 3.4K) - A highly efficient implementation of Gaussian Processes in PyTorch.

GitHub (👨‍💻 130 · 🔀 540 · 📦 2.1K · 📋 1.3K - 26% open · ⏱️ 22.04.2024):
```
git clone https://github.com/cornellius-gp/gpytorch
```
PyPi (📥 240K / month · 📦 150 · ⏱️ 02.06.2023): pip install gpytorch
Conda (📥 160K · ⏱️ 11.08.2023): conda install -c conda-forge gpytorch

(🥈31 · ⭐ 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC.

GitHub (👨‍💻 74 · 🔀 430 · 📦 2.4K · 📋 300 - 18% open · ⏱️ 02.05.2024):
```
git clone https://github.com/dfm/emcee
```
PyPi (📥 130K / month · 📦 390 · ⏱️ 19.04.2024): pip install emcee
Conda (📥 340K · ⏱️ 22.04.2024): conda install -c conda-forge emcee

(🥈31 · ⭐ 930) - Describing statistical models in Python using symbolic formulas.

GitHub (👨‍💻 19 · 🔀 100 · 📦 97K · 📋 150 - 47% open · ⏱️ 04.01.2024):
```
git clone https://github.com/pydata/patsy
```
PyPi (📥 15M / month · 📦 480 · ⏱️ 04.01.2024): pip install patsy
Conda (📥 11M · ⏱️ 05.01.2024): conda install -c conda-forge patsy

(🥈31 · ⭐ 840) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and..

GitHub (👨‍💻 46 · 🔀 230 · 📦 1.1K · 📋 320 - 15% open · ⏱️ 22.04.2024):
```
git clone https://github.com/SALib/SALib
```
PyPi (📥 160K / month · 📦 120 · ⏱️ 22.04.2024): pip install salib
Conda (📥 160K · ⏱️ 22.04.2024): conda install -c conda-forge salib

(🥉30 · ⭐ 3.3K) - Fast, flexible and easy to use probabilistic modelling in Python.

GitHub (👨‍💻 73 · 🔀 570 · 📦 1.1K · 📋 760 - 6% open · ⏱️ 11.03.2024):
```
git clone https://github.com/jmschrei/pomegranate
```
PyPi (📥 28K / month · 📦 54 · ⏱️ 11.03.2024): pip install pomegranate
Conda (📥 150K · ⏱️ 10.12.2023): conda install -c conda-forge pomegranate

(🥉30 · ⭐ 3K) - Hidden Markov Models in Python, with scikit-learn like API.

GitHub (👨‍💻 48 · 🔀 740 · 📦 2.6K · 📋 440 - 14% open · ⏱️ 05.04.2024):
```
git clone https://github.com/hmmlearn/hmmlearn
```
PyPi (📥 210K / month · 📦 79 · ⏱️ 02.03.2024): pip install hmmlearn
Conda (📥 230K · ⏱️ 22.05.2024): conda install -c conda-forge hmmlearn

(🥉30 · ⭐ 1.8K) - Gaussian processes in TensorFlow.

GitHub (👨‍💻 84 · 🔀 440 · 📦 660 · 📋 830 - 17% open · ⏱️ 06.05.2024):
```
git clone https://github.com/GPflow/GPflow
```
PyPi (📥 62K / month · 📦 37 · ⏱️ 07.02.2024): pip install gpflow
Conda (📥 27K · ⏱️ 16.06.2023): conda install -c conda-forge gpflow

(🥉29 · ⭐ 320) - PyStan, a Python interface to Stan, a platform for statistical modeling…

GitHub (👨‍💻 14 · 🔀 58 · 📦 9.8K · 📋 200 - 6% open · ⏱️ 12.04.2024):
```
git clone https://github.com/stan-dev/pystan
```
PyPi (📥 2M / month · 📦 160 · ⏱️ 12.04.2024): pip install pystan
Conda (📥 2.8M · ⏱️ 16.06.2023): conda install -c conda-forge pystan

(🥉26 · ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented design..

GitHub (👨‍💻 20 · 🔀 140 · 📦 57 · 📋 400 - 12% open · ⏱️ 31.03.2024):
```
git clone https://github.com/uber/orbit
```
PyPi (📥 21K / month · 📦 1 · ⏱️ 01.04.2024): pip install orbit-ml

(🥉25 · ⭐ 1K) - BAyesian Model-Building Interface (Bambi) in Python.

GitHub (👨‍💻 37 · 🔀 120 · 📦 120 · 📋 400 - 18% open · ⏱️ 02.06.2024):
```
git clone https://github.com/bambinos/bambi
```
PyPi (📥 21K / month · 📦 10 · ⏱️ 25.10.2023): pip install bambi
Conda (📥 32K · ⏱️ 27.10.2023): conda install -c conda-forge bambi

(🥉24 · ⭐ 840) - Bayesian active learning library for research and industrial usecases.

GitHub (👨‍💻 23 · 🔀 83 · 📦 56 · 📋 110 - 21% open · ⏱️ 28.05.2024):
```
git clone https://github.com/baal-org/baal
```
PyPi (📥 1.3K / month · 📦 1 · ⏱️ 04.04.2024): pip install baal
Conda (📥 8.5K · ⏱️ 12.06.2023): conda install -c conda-forge baal

(🥉24 · ⭐ 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python.

GitHub (👨‍💻 14 · 🔀 39 · 📥 46 · 📦 720 · 📋 54 - 11% open · ⏱️ 18.02.2024):
```
git clone https://github.com/maximtrp/scikit-posthocs
```
PyPi (📥 98K / month · 📦 46 · ⏱️ 18.02.2024): pip install scikit-posthocs
Conda (📥 930K · ⏱️ 19.02.2024): conda install -c conda-forge scikit-posthocs

Show 7 hidden projects…

(🥈31 · ⭐ 4.9K · 💀) - Technical Analysis Indicators - Pandas TA is an easy to use..

(🥈31 · ⭐ 3.2K · 💀) - Python Kalman filtering and optimal estimation library. Implements..

(🥉30 · ⭐ 1.6K) - Statistical package in Python based on Pandas.

(🥉27 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep..

(🥉20 · ⭐ 540 · 💀) - Bayesian inference in HSMMs and HMMs.

(🥉19 · ⭐ 230 · 💤) - Functional tensors for probabilistic programming.

(🥉15 · ⭐ 2.2K · 💀) - A probabilistic programming library for Bayesian deep learning,..

Adversarial Robustness

Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples.

(🥇34 · ⭐ 4.6K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning..

GitHub (👨‍💻 140 · 🔀 1.1K · 📦 530 · 📋 900 - 16% open · ⏱️ 06.05.2024):
```
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
```
PyPi (📥 24K / month · 📦 11 · ⏱️ 17.02.2024): pip install adversarial-robustness-toolbox
Conda (📥 40K · ⏱️ 18.02.2024): conda install -c conda-forge adversarial-robustness-toolbox

(🥈29 · ⭐ 2.8K) - TextAttack is a Python framework for adversarial attacks, data..

GitHub (👨‍💻 65 · 🔀 370 · 📦 260 · 📋 270 - 19% open · ⏱️ 31.03.2024):
```
git clone https://github.com/QData/TextAttack
```
PyPi (📥 3.2K / month · 📦 6 · ⏱️ 11.03.2024): pip install textattack
Conda (📥 7.6K · ⏱️ 16.06.2023): conda install -c conda-forge textattack

(🥈29 · ⭐ 2.7K) - A Python toolbox to create adversarial examples that fool neural networks..

GitHub (👨‍💻 35 · 🔀 420 · 📦 580 · 📋 370 - 5% open · ⏱️ 04.03.2024):
```
git clone https://github.com/bethgelab/foolbox
```
PyPi (📥 2.6K / month · 📦 14 · ⏱️ 04.03.2024): pip install foolbox
Conda (📥 13K · ⏱️ 16.06.2023): conda install -c conda-forge foolbox

Show 6 hidden projects…

(🥈30 · ⭐ 6.1K · 💀) - An adversarial example library for constructing attacks,..

(🥉22 · ⭐ 1.3K · 💀) - A Toolbox for Adversarial Robustness Research.

(🥉18 · ⭐ 1.4K · 💀) - Advbox is a toolbox to generate adversarial examples that fool..

(🥉18 · ⭐ 890 · 💀) - A library for experimenting with, training and evaluating neural..

(🥉16 · ⭐ 630 · 💀) - Unified Multilingual Robustness Evaluation Toolkit for..

(🥉15 · ⭐ 390 · 💀) - Tool to generate adversarial text examples and test machine..

GPU & Accelerator Utilities

Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks.

(🥇37 · ⭐ 7.9K) - NumPy & SciPy for GPU.

GitHub (👨‍💻 370 · 🔀 780 · 📥 180K · 📦 2.1K · 📋 2.2K - 25% open · ⏱️ 06.06.2024):
```
git clone https://github.com/cupy/cupy
```
PyPi (📥 23K / month · 📦 220 · ⏱️ 19.04.2024): pip install cupy
Conda (📥 3.7M · ⏱️ 29.04.2024): conda install -c conda-forge cupy
Docker Hub (📥 63K · ⭐ 13 · ⏱️ 19.04.2024): docker pull cupy/cupy

(🥇34 · ⭐ 2.2K) - Accelerate training and inference of Transformers and Diffusers with..

GitHub (👨‍💻 110 · 🔀 380 · 📦 2.6K · 📋 750 - 47% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/optimum
```
PyPi (📥 930K / month · 📦 140 · ⏱️ 29.05.2024): pip install optimum
Conda (📥 15K · ⏱️ 29.05.2024): conda install -c conda-forge optimum

(🥈33 · ⭐ 7.8K) - cuDF - GPU DataFrame Library.

GitHub (👨‍💻 290 · 🔀 850 · 📦 55 · 📋 6.4K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/rapidsai/cudf
```
PyPi (📥 3.5K / month · 📦 17 · ⏱️ 01.06.2020): pip install cudf

(🥈31 · ⭐ 4K) - cuML - RAPIDS Machine Learning Library.

GitHub (👨‍💻 170 · 🔀 510 · 📋 2.5K - 35% open · ⏱️ 06.06.2024):
```
git clone https://github.com/rapidsai/cuml
```
PyPi (📥 3.4K / month · 📦 13 · ⏱️ 01.06.2020): pip install cuml

(🥈31 · ⭐ 1.8K) - CUDA integration for Python, plus shiny features.

GitHub (👨‍💻 82 · 🔀 280 · 📦 2.9K · 📋 260 - 30% open · ⏱️ 08.05.2024):
```
git clone https://github.com/inducer/pycuda
```
PyPi (📥 53K / month · 📦 140 · ⏱️ 03.01.2024): pip install pycuda
Conda (📥 350K · ⏱️ 06.01.2024): conda install -c conda-forge pycuda

(🥈30 · ⭐ 8.1K) - A PyTorch Extension: Tools for easy mixed precision and distributed..

GitHub (👨‍💻 130 · 🔀 1.3K · 📦 2.5K · 📋 1.2K - 57% open · ⏱️ 26.04.2024):
```
git clone https://github.com/NVIDIA/apex
```
Conda (📥 220K · ⏱️ 17.05.2024): conda install -c conda-forge nvidia-apex

(🥈29 · ⭐ 3.9K) - A simple command-line utility for querying and monitoring GPU status.

GitHub (👨‍💻 17 · 🔀 270 · 📦 5.4K · 📋 120 - 22% open · ⏱️ 12.01.2024):
```
git clone https://github.com/wookayin/gpustat
```
PyPi (📥 780K / month · 📦 140 · ⏱️ 22.08.2023): pip install gpustat
Conda (📥 290K · ⏱️ 23.08.2023): conda install -c conda-forge gpustat

(🥈27 · ⭐ 4.4K) - ArrayFire: a general purpose GPU library.

GitHub (👨‍💻 90 · 🔀 530 · 📥 6.2K · 📋 1.7K - 20% open · ⏱️ 04.04.2024):
```
git clone https://github.com/arrayfire/arrayfire
```
PyPi (📥 1.8K / month · 📦 10 · ⏱️ 22.02.2022): pip install arrayfire

(🥈27 · ⭐ 1.6K) - cuGraph - RAPIDS Graph Analytics Library.

GitHub (👨‍💻 120 · 🔀 290 · 📦 2 · 📋 1.8K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/rapidsai/cugraph
```
PyPi (📥 270 / month · 📦 4 · ⏱️ 01.06.2020): pip install cugraph
Conda (📥 20K · ⏱️ 16.06.2023): conda install -c conda-forge libcugraph

(🥉25 · ⭐ 5K) - A GPU-accelerated library containing highly optimized building blocks and..

GitHub (👨‍💻 92 · 🔀 610 · 📋 1.6K - 13% open · ⏱️ 06.06.2024):
```
git clone https://github.com/NVIDIA/DALI
```

(🥉24 · ⭐ 970 · 💤) - Python interface to GPU-powered libraries.

GitHub (👨‍💻 44 · 🔀 170 · 📦 300 · 📋 220 - 23% open · ⏱️ 15.10.2023):
```
git clone https://github.com/lebedov/scikit-cuda
```
PyPi (📥 790 / month · 📦 23 · ⏱️ 27.05.2019): pip install scikit-cuda

(🥉21 · ⭐ 1.5K) - General purpose GPU compute framework built on Vulkan to..

GitHub (👨‍💻 26 · 🔀 120 · 📥 500 · 📋 210 - 33% open · ⏱️ 29.05.2024):
```
git clone https://github.com/KomputeProject/kompute
```
PyPi (📥 120 / month · ⏱️ 20.01.2024): pip install kp

(🥉20 · ⭐ 700) - NVIDIA Merlin is an open source library providing end-to-end GPU-..

GitHub (👨‍💻 32 · 🔀 110 · 📋 450 - 45% open · ⏱️ 25.04.2024):
```
git clone https://github.com/NVIDIA-Merlin/Merlin
```
PyPi (📥 7.4K / month · 📦 1 · ⏱️ 29.08.2023): pip install merlin-core

(🥉16 · ⭐ 710 · 💤) - GPU accelerated signal processing.

GitHub (👨‍💻 46 · 🔀 120 · 📋 160 - 16% open · ⏱️ 21.09.2023):
```
git clone https://github.com/rapidsai/cusignal
```

Show 6 hidden projects…

(🥉24 · ⭐ 1.1K · 💀) - A Python module for getting the GPU status from NVIDA GPUs using..

(🥉22 · ⭐ 230 · 💀) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside..

(🥉20 · ⭐ 1.9K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for..

(🥉18 · ⭐ 130 · 💀) - Python 3 Bindings for the NVIDIA Management Library.

(🥉16 · ⭐ 200) - Automatic GPU+CPU memory profiling, re-use and memory..

(🥉15 · ⭐ 680 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch.

Tensorflow Utilities

Libraries that extend TensorFlow with additional capabilities.

(🥇40 · ⭐ 4.2K) - TFDS is a collection of datasets ready to use with..

GitHub (👨‍💻 310 · 🔀 1.5K · 📦 18K · 📋 1.4K - 48% open · ⏱️ 06.06.2024):
```
git clone https://github.com/tensorflow/datasets
```
PyPi (📥 3.6M / month · 📦 310 · ⏱️ 05.06.2024): pip install tensorflow-datasets
Conda (📥 30K · ⏱️ 16.06.2023): conda install -c conda-forge tensorflow-datasets

(🥇35 · ⭐ 3.4K) - A library for transfer learning by reusing parts of..

GitHub (👨‍💻 110 · 🔀 1.7K · 📋 700 - 1% open · ⏱️ 05.06.2024):
```
git clone https://github.com/tensorflow/hub
```
PyPi (📥 4.8M / month · 📦 290 · ⏱️ 30.01.2024): pip install tensorflow-hub
Conda (📥 98K · ⏱️ 07.05.2024): conda install -c conda-forge tensorflow-hub

(🥈33 · ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by..

GitHub (👨‍💻 210 · 🔀 610 · 📦 15K · 📋 990 - 8% open · ⏱️ 15.04.2024):
```
git clone https://github.com/tensorflow/addons
```
PyPi (📥 1M / month · 📦 220 · ⏱️ 28.11.2023): pip install tensorflow-addons

(🥈33 · ⭐ 1.5K) - A toolkit to optimize ML models for deployment for..

GitHub (👨‍💻 85 · 🔀 320 · 📦 3.8K · 📋 380 - 56% open · ⏱️ 02.05.2024):
```
git clone https://github.com/tensorflow/model-optimization
```
PyPi (📥 840K / month · 📦 43 · ⏱️ 08.02.2024): pip install tensorflow-model-optimization

(🥈32 · ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines.

GitHub (👨‍💻 190 · 🔀 690 · 📋 1.1K - 21% open · ⏱️ 06.06.2024):
```
git clone https://github.com/tensorflow/tfx
```
PyPi (📥 69K / month · 📦 17 · ⏱️ 13.05.2024): pip install tfx

(🥈32 · ⭐ 690) - Dataset, streaming, and file system extensions..

GitHub (👨‍💻 110 · 🔀 280 · 📋 650 - 44% open · ⏱️ 24.05.2024):
```
git clone https://github.com/tensorflow/io
```
PyPi (📥 3.3M / month · 📦 60 · ⏱️ 01.05.2024): pip install tensorflow-io

(🥉31 · ⭐ 980) - Input pipeline framework.

GitHub (👨‍💻 28 · 🔀 210 · 📦 1.8K · 📋 220 - 20% open · ⏱️ 30.04.2024):
```
git clone https://github.com/tensorflow/transform
```
PyPi (📥 880K / month · 📦 17 · ⏱️ 24.04.2024): pip install tensorflow-transform

(🥉25 · ⭐ 980 · 💤) - Training neural models with structured signals.

GitHub (👨‍💻 38 · 🔀 190 · 📦 450 · 📋 69 - 1% open · ⏱️ 20.09.2023):
```
git clone https://github.com/tensorflow/neural-structured-learning
```
PyPi (📥 17K / month · 📦 3 · ⏱️ 29.07.2022): pip install neural-structured-learning

(🥉24 · ⭐ 370) - The TensorFlow Cloud repository provides APIs that..

GitHub (👨‍💻 27 · 🔀 84 · 📦 400 · 📋 100 - 73% open · ⏱️ 25.02.2024):
```
git clone https://github.com/tensorflow/cloud
```
PyPi (📥 44K / month · 📦 7 · ⏱️ 17.06.2021): pip install tensorflow-cloud

(🥉22 · ⭐ 830) - Data compression in TensorFlow.

GitHub (👨‍💻 21 · 🔀 250 · 📋 100 - 9% open · ⏱️ 20.05.2024):
```
git clone https://github.com/tensorflow/compression
```
PyPi (📥 4.2K / month · 📦 2 · ⏱️ 02.02.2024): pip install tensorflow-compression

(🥉21 · ⭐ 930) - Framework-agnostic implementation for state-of-the-art saliency..

GitHub (👨‍💻 18 · 🔀 190 · 📦 85 · 📋 39 - 30% open · ⏱️ 20.03.2024):
```
git clone https://github.com/PAIR-code/saliency
```
PyPi (📥 5.6K / month · 📦 8 · ⏱️ 20.03.2024): pip install saliency

Show 5 hidden projects…

(🥈32 · ⭐ 15K · 💀) - Library of deep learning models and datasets designed..

(🥉28 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and..

(🥉27 · ⭐ 2.1K · 💀) - Implementation of EfficientNet model. Keras and..

(🥉20 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in..

(🥉18 · ⭐ 780 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine.

Jax Utilities

Libraries that extend Jax with additional capabilities.

(🥇30 · ⭐ 1.9K) - Elegant easy-to-use neural networks + scientific computing in..

GitHub (👨‍💻 52 · 🔀 130 · 📦 580 · 📋 360 - 33% open · ⏱️ 29.05.2024):
```
git clone https://github.com/patrick-kidger/equinox
```
PyPi (📥 240K / month · 📦 130 · ⏱️ 14.04.2024): pip install equinox

(🥉19 · ⭐ 790 · 💤) - EvoJAX: Hardware-accelerated Neuroevolution.

GitHub (👨‍💻 14 · 🔀 71 · 📦 21 · 📋 33 - 48% open · ⏱️ 29.08.2023):
```
git clone https://github.com/google/evojax
```
PyPi (📥 820 / month · 📦 5 · ⏱️ 29.08.2023): pip install evojax
Conda (📥 25K · ⏱️ 29.08.2023): conda install -c conda-forge evojax

Show 1 hidden projects…

(🥉11 · ⭐ 110 · 💤) - A JAX-based research framework for writing differentiable..

Sklearn Utilities

Libraries that extend scikit-learn with additional capabilities.

(🥇37 · ⭐ 6.7K) - A Python Package to Tackle the Curse of Imbalanced..

GitHub (👨‍💻 84 · 🔀 1.3K · 📦 28K · 📋 600 - 6% open · ⏱️ 28.05.2024):
```
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
PyPi (📥 12M / month · 📦 400 · ⏱️ 28.05.2024): pip install imbalanced-learn
Conda (📥 570K · ⏱️ 28.05.2024): conda install -c conda-forge imbalanced-learn

(🥇35 · ⭐ 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way..

GitHub (👨‍💻 79 · 🔀 170 · 📦 11K · 📋 250 - 28% open · ⏱️ 06.06.2024):
```
git clone https://github.com/intel/scikit-learn-intelex
```
PyPi (📥 100K / month · 📦 42 · ⏱️ 13.05.2024): pip install scikit-learn-intelex
Conda (📥 270K · ⏱️ 19.04.2024): conda install -c conda-forge scikit-learn-intelex

(🥈33 · ⭐ 4.8K) - A library of extension and helper modules for Pythons data..

GitHub (👨‍💻 110 · 🔀 840 · 📦 14K · 📋 480 - 29% open · ⏱️ 31.03.2024):
```
git clone https://github.com/rasbt/mlxtend
```
PyPi (📥 630K / month · 📦 160 · ⏱️ 05.01.2024): pip install mlxtend
Conda (📥 310K · ⏱️ 05.01.2024): conda install -c conda-forge mlxtend

(🥈31 · ⭐ 2.4K) - A library of sklearn compatible categorical variable..

GitHub (👨‍💻 70 · 🔀 390 · 📦 1.8K · 📋 290 - 15% open · ⏱️ 09.04.2024):
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
PyPi (📥 1.6M / month · 📦 240 · ⏱️ 29.10.2023): pip install category_encoders
Conda (📥 260K · ⏱️ 30.10.2023): conda install -c conda-forge category_encoders

(🥈28 · ⭐ 1.2K) - Extra blocks for scikit-learn pipelines.

GitHub (👨‍💻 67 · 🔀 110 · 📦 150 · 📋 310 - 11% open · ⏱️ 26.05.2024):
```
git clone https://github.com/koaning/scikit-lego
```
PyPi (📥 22K / month · 📦 11 · ⏱️ 25.05.2024): pip install scikit-lego
Conda (📥 49K · ⏱️ 04.06.2024): conda install -c conda-forge scikit-lego

(🥉25 · ⭐ 5K · 💤) - Genetic Algorithm, Particle Swarm Optimization, Simulated..

GitHub (👨‍💻 20 · 🔀 960 · 📦 200 · 📋 180 - 36% open · ⏱️ 19.11.2023):
```
git clone https://github.com/guofei9987/scikit-opt
```
PyPi (📥 3.9K / month · 📦 9 · ⏱️ 14.01.2022): pip install scikit-opt

(🥉21 · ⭐ 470) - A Python library for dynamic classifier and ensemble selection.

GitHub (👨‍💻 17 · 🔀 100 · 📦 47 · 📋 160 - 11% open · ⏱️ 15.04.2024):
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
PyPi (📥 990 / month · 📦 3 · ⏱️ 12.04.2024): pip install deslib

(🥉18 · ⭐ 500) - Topological Data Analysis for Python.

GitHub (👨‍💻 6 · 🔀 51 · 📦 56 · 📋 22 - 54% open · ⏱️ 30.03.2024):
```
git clone https://github.com/scikit-tda/scikit-tda
```
PyPi (📥 2.8K / month · ⏱️ 03.08.2021): pip install scikit-tda

Show 11 hidden projects…

(🥈29 · ⭐ 1.1K) - Survival analysis built on top of scikit-learn.

(🥈27 · ⭐ 910 · 💀) - A scikit-learn based module for multi-label et. al…

(🥈26 · ⭐ 1.2K · 💀) - Multivariate imputation and matrix completion..

(🥈26 · ⭐ 420 · 💀) - scikit-learn inspired API for CRFsuite.

(🥉22 · ⭐ 1.7K · 💀) - Large-scale linear classification, regression and..

(🥉21 · ⭐ 830 · 💀) - scikit-learn cross validators for iterative..

(🥉21 · ⭐ 640 · 💀) - (AAAI 20) A Python Toolbox for Machine Learning Model.. xgboost

(🥉21 · ⭐ 600 · 💀) - machine learning with logical rules in Python.

(🥉18 · ⭐ 200) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,..

(🥉17 · ⭐ 240 · 💤) - Scikit-learn compatible estimation of general graphical models.

(🥉15 · ⭐ 130) - Data Analysis Baseline Library.

Pytorch Utilities

Libraries that extend Pytorch with additional capabilities.

(🥇40 · ⭐ 7.2K) - A simple way to launch, train, and use PyTorch models on..

GitHub (👨‍💻 250 · 🔀 820 · 📦 39K · 📋 1.4K - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/accelerate
```
PyPi (📥 7.7M / month · 📦 1.1K · ⏱️ 10.05.2024): pip install accelerate
Conda (📥 140K · ⏱️ 11.05.2024): conda install -c conda-forge accelerate

(🥇33 · ⭐ 25K) - You like pytorch? You like micrograd? You love tinygrad!.

GitHub (👨‍💻 310 · 🔀 2.7K · 📦 69 · 📋 620 - 14% open · ⏱️ 06.06.2024):
```
git clone https://github.com/geohot/tinygrad
```

(🥇33 · ⭐ 5.8K) - The easiest way to use deep metric learning in your application. Modular,..

GitHub (👨‍💻 41 · 🔀 650 · 📦 1.5K · 📋 500 - 11% open · ⏱️ 01.04.2024):
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
PyPi (📥 460K / month · 📦 33 · ⏱️ 01.04.2024): pip install pytorch-metric-learning
Conda (📥 11K · ⏱️ 16.06.2023): conda install -c metric-learning pytorch-metric-learning

(🥇31 · ⭐ 5.3K · 💤) - Differentiable ODE solvers with full GPU support and..

GitHub (👨‍💻 21 · 🔀 900 · 📦 3.4K · 📋 220 - 32% open · ⏱️ 19.10.2023):
```
git clone https://github.com/rtqichen/torchdiffeq
```
PyPi (📥 690K / month · 📦 89 · ⏱️ 29.05.2024): pip install torchdiffeq
Conda (📥 16K · ⏱️ 16.06.2023): conda install -c conda-forge torchdiffeq

(🥈29 · ⭐ 1.5K · 💤) - Differentiable SDE solvers with GPU support and efficient..

GitHub (👨‍💻 8 · 🔀 190 · 📦 3.1K · 📋 76 - 31% open · ⏱️ 26.09.2023):
```
git clone https://github.com/google-research/torchsde
```
PyPi (📥 1.3M / month · 📦 30 · ⏱️ 26.09.2023): pip install torchsde
Conda (📥 22K · ⏱️ 16.06.2023): conda install -c conda-forge torchsde

(🥈28 · ⭐ 3K · 💤) - torch-optimizer – collection of optimizers for..

GitHub (👨‍💻 26 · 🔀 290 · 📦 1.2K · 📋 83 - 63% open · ⏱️ 20.06.2023):
```
git clone https://github.com/jettify/pytorch-optimizer
```
PyPi (📥 120K / month · 📦 84 · ⏱️ 31.10.2021): pip install torch_optimizer
Conda (📥 10K · ⏱️ 16.06.2023): conda install -c conda-forge torch-optimizer

(🥈27 · ⭐ 1.7K · 💤) - Your PyTorch AI Factory - Flash enables you to easily..

GitHub (👨‍💻 87 · 🔀 210 · 📦 280 · 📋 520 - 4% open · ⏱️ 08.10.2023):
```
git clone https://github.com/Lightning-AI/lightning-flash
```
PyPi (📥 2K / month · 📦 5 · ⏱️ 11.05.2022): pip install lightning-flash
Conda (📥 19K · ⏱️ 04.07.2023): conda install -c conda-forge lightning-flash

(🥈26 · ⭐ 2.5K · 💤) - PyTorch implementation of TabNet paper :..

GitHub (👨‍💻 21 · 🔀 470 · 📋 330 - 15% open · ⏱️ 23.07.2023):
```
git clone https://github.com/dreamquark-ai/tabnet
```
PyPi (📥 39K / month · 📦 11 · ⏱️ 23.07.2023): pip install pytorch-tabnet
Conda (📥 6.8K · ⏱️ 20.12.2023): conda install -c conda-forge pytorch-tabnet

(🥈26 · ⭐ 1.5K) - PyTorch Extension Library of Optimized Scatter Operations.

GitHub (👨‍💻 30 · 🔀 180 · 📋 370 - 7% open · ⏱️ 27.05.2024):
```
git clone https://github.com/rusty1s/pytorch_scatter
```
PyPi (📥 37K / month · 📦 130 · ⏱️ 06.10.2023): pip install torch-scatter
Conda (📥 300K · ⏱️ 19.05.2024): conda install -c conda-forge pytorch_scatter

(🥉23 · ⭐ 960) - PyTorch Extension Library of Optimized Autograd Sparse..

GitHub (👨‍💻 45 · 🔀 140 · 📋 270 - 11% open · ⏱️ 29.04.2024):
```
git clone https://github.com/rusty1s/pytorch_sparse
```
PyPi (📥 25K / month · 📦 100 · ⏱️ 06.10.2023): pip install torch-sparse
Conda (📥 300K · ⏱️ 19.05.2024): conda install -c conda-forge pytorch_sparse

(🥉22 · ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle..

GitHub (👨‍💻 7 · 🔀 120 · 📥 17 · 📋 33 - 12% open · ⏱️ 18.04.2024):
```
git clone https://github.com/BloodAxe/pytorch-toolbelt
```
PyPi (📥 6.1K / month · 📦 7 · ⏱️ 27.06.2022): pip install pytorch_toolbelt

(🥉21 · ⭐ 2.1K · 💤) - Reformer, the efficient Transformer, in Pytorch.

GitHub (👨‍💻 11 · 🔀 250 · 📋 120 - 13% open · ⏱️ 21.06.2023):
```
git clone https://github.com/lucidrains/reformer-pytorch
```
PyPi (📥 11K / month · ⏱️ 06.11.2021): pip install reformer-pytorch

Show 20 hidden projects…

(🥈29 · ⭐ 9K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,..

(🥈27 · ⭐ 7.8K · 💀) - A PyTorch implementation of EfficientNet.

(🥈27 · ⭐ 4K · 💀) - Model summary in PyTorch similar to model.summary() in..

(🥈25 · ⭐ 1.6K · 💀) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,..

(🥉24 · ⭐ 1.6K · 💀) - higher is a pytorch library allowing users to obtain higher..

(🥉23 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).

(🥉23 · ⭐ 1.9K · 💀) - A collection of extensions and data-loaders for few-shot..

(🥉22 · ⭐ 1.6K · 💀) - pip install antialiased-cnns to improve stability and..

(🥉21 · ⭐ 8.6K · 💀) - A tiny scalar-valued autograd engine and a neural net library..

(🥉21 · ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD.

(🥉20 · ⭐ 3.1K · 💀) - A small package to create visualizations of PyTorch execution..

(🥉20 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to..

(🥉19 · ⭐ 1.1K · 💀) - An implementation of Performer, a linear attention-..

(🥉19 · ⭐ 570 · 💤) - A simplified framework and utilities for PyTorch.

(🥉18 · ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured..

(🥉17 · ⭐ 1.2K · 💀) - Tez is a super-simple and lightweight Trainer for PyTorch. It..

(🥉17 · ⭐ 760 · 💀) - The goal of this library is to generate more helpful..

(🥉16 · ⭐ 800 · 💀) - MADGRAD Optimization Method.

(🥉16 · ⭐ 400 · 💀) - High-level batteries-included neural network training library for..

(🥉15 · ⭐ 310 · 💀) - Drift Detection for your PyTorch Models.

Database Clients

Libraries for connecting to, operating, and querying databases.

🔗 ( ⭐ 3.5K) - Collection of database clients for python.

Others

(🥇51 · ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering.

GitHub (👨‍💻 1.6K · 🔀 5K · 📥 400K · 📦 1M · 📋 10K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/scipy/scipy
```
PyPi (📥 110M / month · 📦 42K · ⏱️ 30.05.2024): pip install scipy
Conda (📥 49M · ⏱️ 23.05.2024): conda install -c conda-forge scipy

(🥇47 · ⭐ 12K · 📉) - A computer algebra system written in pure Python.

GitHub (👨‍💻 1.3K · 🔀 4.3K · 📥 540K · 📦 140K · 📋 14K - 36% open · ⏱️ 06.06.2024):
```
git clone https://github.com/sympy/sympy
```
PyPi (📥 23M / month · 📦 3.1K · ⏱️ 06.06.2024): pip install sympy
Conda (📥 5.7M · ⏱️ 16.06.2023): conda install -c conda-forge sympy

(🥇46 · ⭐ 33K) - Streamlit A faster way to build and share data apps.

GitHub (👨‍💻 230 · 🔀 2.8K · 📦 400K · 📋 4.2K - 19% open · ⏱️ 06.06.2024):
```
git clone https://github.com/streamlit/streamlit
```
PyPi (📥 4.9M / month · 📦 2.3K · ⏱️ 23.05.2024): pip install streamlit

(🥇44 · ⭐ 30K) - Wrap UIs around any model, share with anyone.

GitHub (👨‍💻 330 · 🔀 2.2K · 📦 32K · 📋 4.3K - 11% open · ⏱️ 06.06.2024):
```
git clone https://github.com/gradio-app/gradio
```
PyPi (📥 7.5M / month · 📦 580 · ⏱️ 05.06.2024): pip install gradio

(🥇36 · ⭐ 11K) - Open-source simulator for autonomous driving research.

GitHub (👨‍💻 190 · 🔀 3.4K · 📦 720 · 📋 5.3K - 20% open · ⏱️ 05.06.2024):
```
git clone https://github.com/carla-simulator/carla
```
PyPi (📥 13K / month · 📦 7 · ⏱️ 14.11.2023): pip install carla

(🥇36 · ⭐ 5.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,..

GitHub (👨‍💻 240 · 🔀 1.6K · 📦 380 · 📋 1.8K - 32% open · ⏱️ 05.06.2024):
```
git clone https://github.com/deepchem/deepchem
```
PyPi (📥 24K / month · 📦 13 · ⏱️ 05.06.2024): pip install deepchem
Conda (📥 110K · ⏱️ 05.04.2024): conda install -c conda-forge deepchem

(🥇35 · ⭐ 8.1K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly..

GitHub (👨‍💻 53 · 🔀 1.3K · 📦 3.8K · 📋 370 - 60% open · ⏱️ 01.06.2024):
```
git clone https://github.com/yzhao062/pyod
```
PyPi (📥 680K / month · 📦 110 · ⏱️ 01.06.2024): pip install pyod
Conda (📥 100K · ⏱️ 01.06.2024): conda install -c conda-forge pyod

(🥇35 · ⭐ 2.2K) - PennyLane is a cross-platform Python library for quantum..

GitHub (👨‍💻 170 · 🔀 550 · 📥 78 · 📦 920 · 📋 1.3K - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/PennyLaneAI/PennyLane
```
PyPi (📥 51K / month · 📦 100 · ⏱️ 06.05.2024): pip install pennylane
Conda (📥 55K · ⏱️ 07.05.2024): conda install -c conda-forge pennylane

(🥇35 · ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of..

GitHub (👨‍💻 53 · 🔀 150 · 📦 3.3K · 📋 650 - 0% open · ⏱️ 27.05.2024):
```
git clone https://github.com/wireservice/agate
```
PyPi (📥 7.5M / month · 📦 47 · ⏱️ 27.05.2024): pip install agate
Conda (📥 180K · ⏱️ 31.05.2024): conda install -c conda-forge agate

(🥈33 · ⭐ 9K) - An open source multi-tool for exploring and publishing data.

GitHub (👨‍💻 78 · 🔀 640 · 📥 64 · 📦 1.3K · 📋 1.8K - 32% open · ⏱️ 22.04.2024):
```
git clone https://github.com/simonw/datasette
```
PyPi (📥 38K / month · 📦 390 · ⏱️ 13.03.2024): pip install datasette
Conda (📥 35K · ⏱️ 03.01.2024): conda install -c conda-forge datasette

(🥈33 · ⭐ 6.8K) - Efficiently computes derivatives of numpy code.

GitHub (👨‍💻 56 · 🔀 870 · 📦 8.3K · 📋 410 - 42% open · ⏱️ 25.05.2024):
```
git clone https://github.com/HIPS/autograd
```
PyPi (📥 1.3M / month · 📦 270 · ⏱️ 23.06.2023): pip install autograd
Conda (📥 430K · ⏱️ 26.06.2023): conda install -c conda-forge autograd

(🥈33 · ⭐ 2.7K) - A high performance implementation of HDBSCAN clustering.

GitHub (👨‍💻 89 · 🔀 490 · 📦 3.6K · 📋 520 - 67% open · ⏱️ 24.05.2024):
```
git clone https://github.com/scikit-learn-contrib/hdbscan
```
PyPi (📥 740K / month · 📦 300 · ⏱️ 24.05.2024): pip install hdbscan
Conda (📥 1.9M · ⏱️ 24.05.2024): conda install -c conda-forge hdbscan

(🥈33 · ⭐ 2K) - Ahead of Time compiler for numeric kernels.

GitHub (👨‍💻 72 · 🔀 190 · 📦 2.2K · 📋 860 - 15% open · ⏱️ 28.05.2024):
```
git clone https://github.com/serge-sans-paille/pythran
```
PyPi (📥 230K / month · 📦 19 · ⏱️ 28.05.2024): pip install pythran
Conda (📥 500K · ⏱️ 28.05.2024): conda install -c conda-forge pythran

(🥈33 · ⭐ 1K) - OpenCL integration for Python, plus shiny features.

GitHub (👨‍💻 96 · 🔀 240 · 📦 1.9K · 📋 340 - 20% open · ⏱️ 06.06.2024):
```
git clone https://github.com/inducer/pyopencl
```
PyPi (📥 54K / month · 📦 160 · ⏱️ 05.06.2024): pip install pyopencl
Conda (📥 1.1M · ⏱️ 09.05.2024): conda install -c conda-forge pyopencl

(🥈32 · ⭐ 500) - Keep code, data, containers under control with git and git-annex.

GitHub (👨‍💻 56 · 🔀 110 · 📦 400 · 📋 3.9K - 13% open · ⏱️ 06.06.2024):
```
git clone https://github.com/datalad/datalad
```
PyPi (📥 21K / month · 📦 93 · ⏱️ 19.04.2024): pip install datalad
Conda (📥 470K · ⏱️ 29.05.2024): conda install -c conda-forge datalad

(🥈31 · ⭐ 4.8K) - Online machine learning in Python.

GitHub (👨‍💻 110 · 🔀 530 · 📦 490 · 📋 590 - 18% open · ⏱️ 20.05.2024):
```
git clone https://github.com/online-ml/river
```
PyPi (📥 40K / month · 📦 51 · ⏱️ 23.04.2024): pip install river
Conda (📥 60K · ⏱️ 06.10.2023): conda install -c conda-forge river

(🥈31 · ⭐ 1.3K) - Clean APIs for data cleaning. Python implementation of R package..

GitHub (👨‍💻 110 · 🔀 160 · 📦 620 · 📋 560 - 20% open · ⏱️ 04.06.2024):
```
git clone https://github.com/pyjanitor-devs/pyjanitor
```
PyPi (📥 76K / month · 📦 28 · ⏱️ 21.03.2024): pip install pyjanitor
Conda (📥 200K · ⏱️ 21.03.2024): conda install -c conda-forge pyjanitor

(🥈30 · ⭐ 4.8K) - Uplift modeling and causal inference with machine learning..

GitHub (👨‍💻 62 · 🔀 740 · 📦 200 · 📋 390 - 14% open · ⏱️ 09.05.2024):
```
git clone https://github.com/uber/causalml
```
PyPi (📥 45K / month · 📦 1 · ⏱️ 19.04.2024): pip install causalml

(🥈30 · ⭐ 3.3K) - An anomaly detection library comprising state-of-the-art algorithms..

GitHub (👨‍💻 79 · 🔀 590 · 📥 11K · 📦 73 · 📋 840 - 14% open · ⏱️ 06.06.2024):
```
git clone https://github.com/openvinotoolkit/anomalib
```
PyPi (📥 17K / month · 📦 5 · ⏱️ 31.05.2024): pip install anomalib

(🥈30 · ⭐ 1.5K) - TensorLy: Tensor Learning in Python.

GitHub (👨‍💻 67 · 🔀 270 · 📦 660 · 📋 260 - 23% open · ⏱️ 11.04.2024):
```
git clone https://github.com/tensorly/tensorly
```
PyPi (📥 30K / month · 📦 80 · ⏱️ 08.03.2023): pip install tensorly
Conda (📥 360K · ⏱️ 16.06.2023): conda install -c conda-forge tensorly

(🥈29 · ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering..

GitHub (👨‍💻 22 · 🔀 410 · 📦 2.6K · 📋 160 - 10% open · ⏱️ 17.01.2024):
```
git clone https://github.com/nicodv/kmodes
```
PyPi (📥 320K / month · 📦 38 · ⏱️ 06.09.2022): pip install kmodes
Conda (📥 43K · ⏱️ 16.06.2023): conda install -c conda-forge kmodes

(🥈28 · ⭐ 2.4K) - A Unified Library for Parameter-Efficient and Modular.. huggingface

GitHub (👨‍💻 8 · 🔀 320 · 📦 61 · 📋 370 - 10% open · ⏱️ 21.05.2024):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
```
PyPi (📥 92K / month · 📦 7 · ⏱️ 16.12.2023): pip install adapter-transformers

(🥈28 · ⭐ 1.7K) - Avalanche: an End-to-End Library for Continual Learning based on..

GitHub (👨‍💻 78 · 🔀 280 · 📥 21 · 📦 83 · 📋 800 - 11% open · ⏱️ 03.06.2024):
```
git clone https://github.com/ContinualAI/avalanche
```
PyPi (📥 970 / month · 📦 3 · ⏱️ 27.02.2024): pip install avalanche-lib

(🥈28 · ⭐ 1.1K) - An open-source container orchestration engine for running AI workloads..

GitHub (👨‍💻 25 · 🔀 80 · 📦 14 · 📋 710 - 5% open · ⏱️ 06.06.2024):
```
git clone https://github.com/dstackai/dstack
```
PyPi (📥 2K / month · ⏱️ 06.06.2024): pip install dstack

(🥉27 · ⭐ 1.2K · 💤) - A research toolkit for particle swarm optimization in Python.

GitHub (👨‍💻 45 · 🔀 330 · 📦 390 · 📋 230 - 12% open · ⏱️ 06.06.2023):
```
git clone https://github.com/ljvmiranda921/pyswarms
```
PyPi (📥 22K / month · 📦 22 · ⏱️ 03.01.2021): pip install pyswarms

(🥉27 · ⭐ 1.1K) - pyclustering is a Python, C++ data mining library.

GitHub (👨‍💻 26 · 🔀 250 · 📥 540 · 📦 680 · 📋 660 - 10% open · ⏱️ 08.02.2024):
```
git clone https://github.com/annoviko/pyclustering
```
PyPi (📥 43K / month · 📦 29 · ⏱️ 25.11.2020): pip install pyclustering
Conda (📥 67K · ⏱️ 16.11.2023): conda install -c conda-forge pyclustering

(🥉26 · ⭐ 2.2K · 💤) - A modular active learning framework for Python.

GitHub (👨‍💻 20 · 🔀 320 · 📥 35 · 📋 160 - 63% open · ⏱️ 01.06.2023):
```
git clone https://github.com/modAL-python/modAL
```
PyPi (📥 280K / month · 📦 41 · ⏱️ 06.06.2024): pip install modAL

(🥉26 · ⭐ 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:.

GitHub (👨‍💻 50 · 🔀 580 · 📦 160 · 📋 320 - 5% open · ⏱️ 04.01.2024):
```
git clone https://github.com/tableau/TabPy
```
PyPi (📥 8.5K / month · 📦 2 · ⏱️ 30.01.2023): pip install tabpy
Conda (📥 4.5K · ⏱️ 16.06.2023): conda install -c anaconda tabpy-client

(🥉26 · ⭐ 1.4K · 💤) - Multi-class confusion matrix library in Python.

GitHub (👨‍💻 17 · 🔀 120 · 📦 300 · 📋 200 - 5% open · ⏱️ 07.06.2023):
```
git clone https://github.com/sepandhaghighi/pycm
```
PyPi (📥 40K / month · 📦 22 · ⏱️ 07.06.2023): pip install pycm

(🥉26 · ⭐ 1.4K · 💤) - Metric learning algorithms in Python.

GitHub (👨‍💻 22 · 🔀 230 · 📦 380 · 📋 170 - 30% open · ⏱️ 29.09.2023):
```
git clone https://github.com/scikit-learn-contrib/metric-learn
```
PyPi (📥 16K / month · 📦 7 · ⏱️ 09.10.2023): pip install metric-learn
Conda (📥 12K · ⏱️ 09.10.2023): conda install -c conda-forge metric-learn

(🥉26 · ⭐ 1.2K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,..

GitHub (👨‍💻 16 · 🔀 180 · 📦 540 · 📋 130 - 3% open · ⏱️ 16.04.2024):
```
git clone https://github.com/MaxHalford/prince
```
PyPi (📥 140K / month · 📦 16 · ⏱️ 11.10.2023): pip install prince
Conda (📥 19K · ⏱️ 16.06.2023): conda install -c conda-forge prince-factor-analysis

(🥉25 · ⭐ 8K) - Trax Deep Learning with Clear Code and Speed.

GitHub (👨‍💻 79 · 🔀 810 · 📦 160 · 📋 240 - 47% open · ⏱️ 16.05.2024):
```
git clone https://github.com/google/trax
```
PyPi (📥 3.3K / month · 📦 1 · ⏱️ 26.10.2021): pip install trax

(🥉25 · ⭐ 1.6K · 💤) - Genetic Programming in Python, with a scikit-learn inspired API.

GitHub (👨‍💻 11 · 🔀 270 · 📦 580 · 📋 210 - 10% open · ⏱️ 12.08.2023):
```
git clone https://github.com/trevorstephens/gplearn
```
PyPi (📥 7.2K / month · 📦 17 · ⏱️ 03.05.2022): pip install gplearn
Conda (📥 7K · ⏱️ 16.06.2023): conda install -c conda-forge gplearn

(🥉24 · ⭐ 2.7K · 💤) - Mars is a tensor-based unified framework for large-scale data..

GitHub (👨‍💻 53 · 🔀 320 · 📋 1.2K - 17% open · ⏱️ 02.11.2023):
```
git clone https://github.com/mars-project/mars
```
PyPi (📥 15K / month · 📦 1 · ⏱️ 12.06.2022): pip install pymars

(🥉23 · ⭐ 4.9K · 📉) - A data augmentations library for audio, image, text, and video.

GitHub (👨‍💻 34 · 🔀 300 · 📦 120 · 📋 78 - 30% open · ⏱️ 22.03.2024):
```
git clone https://github.com/facebookresearch/AugLy
```
PyPi (📥 2.7K / month · 📦 4 · ⏱️ 05.12.2023): pip install augly

(🥉23 · ⭐ 1K) - Machine learning, statistics, and data mining for astronomy and..

GitHub (👨‍💻 31 · 🔀 300 · 📋 160 - 38% open · ⏱️ 04.01.2024):
```
git clone https://github.com/astroML/astroML
```
PyPi (📥 1.6K / month · 📦 14 · ⏱️ 01.03.2022): pip install astroML
Conda (📥 44K · ⏱️ 16.06.2023): conda install -c conda-forge astroml

(🥉23 · ⭐ 690 · 💤) - Working with molecular structures in pandas DataFrames.

GitHub (👨‍💻 15 · 🔀 120 · 📦 250 · 📋 58 - 41% open · ⏱️ 19.09.2023):
```
git clone https://github.com/rasbt/biopandas
```
PyPi (📥 62K / month · 📦 23 · ⏱️ 28.08.2023): pip install biopandas
Conda (📥 150K · ⏱️ 16.06.2023): conda install -c conda-forge biopandas

(🥉23 · ⭐ 560) - MONAI Label is an intelligent open source image labeling and..

GitHub (👨‍💻 59 · 🔀 180 · 📥 85K · 📋 510 - 23% open · ⏱️ 24.05.2024):
```
git clone https://github.com/Project-MONAI/MONAILabel
```
PyPi (📥 440 / month · ⏱️ 01.10.2023): pip install monailabel-weekly

(🥉22 · ⭐ 370) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous..

GitHub (👨‍💻 3 · 🔀 48 · 📦 520 · 📋 14 - 78% open · ⏱️ 08.02.2024):
```
git clone https://github.com/yzhao062/SUOD
```
PyPi (📥 13K / month · 📦 8 · ⏱️ 08.02.2024): pip install suod

(🥉21 · ⭐ 1.7K) - Unifying Variational Autoencoder (VAE) implementations..

GitHub (👨‍💻 17 · 🔀 150 · 📦 23 · 📋 58 - 32% open · ⏱️ 09.04.2024):
```
git clone https://github.com/clementchadebec/benchmark_VAE
```
PyPi (📥 1.1K / month · ⏱️ 06.09.2023): pip install pythae

(🥉20 · ⭐ 480 · 💤) - Implementation of the Robust Random Cut Forest algorithm for anomaly..

GitHub (👨‍💻 7 · 🔀 110 · 📦 63 · 📋 47 - 55% open · ⏱️ 12.08.2023):
```
git clone https://github.com/kLabUM/rrcf
```
PyPi (📥 2.7K / month · 📦 8 · ⏱️ 30.04.2023): pip install rrcf

(🥉20 · ⭐ 430) - Knowledge-Aware machine LEarning (KALE): accessible machine learning..

GitHub (👨‍💻 22 · 🔀 63 · 📦 1 · 📋 120 - 7% open · ⏱️ 29.05.2024):
```
git clone https://github.com/pykale/pykale
```
PyPi (📥 42 / month · ⏱️ 12.04.2022): pip install pykale

(🥉19 · ⭐ 400 · 📈) - A Python implementation of active inference for Markov Decision Processes.

GitHub (👨‍💻 18 · 🔀 71 · 📦 9 · 📋 42 - 35% open · ⏱️ 06.06.2024):
```
git clone https://github.com/infer-actively/pymdp
```
PyPi (📥 290 / month · ⏱️ 08.12.2022): pip install inferactively-pymdp

(🥉14 · ⭐ 480 · 📉) - A collection of tools for neural compression enthusiasts.

GitHub (👨‍💻 10 · 🔀 42 · 📋 69 - 7% open · ⏱️ 18.03.2024):
```
git clone https://github.com/facebookresearch/NeuralCompression
```
PyPi (📥 86 / month · ⏱️ 03.10.2023): pip install neuralcompression

Show 22 hidden projects…

(🥈32 · ⭐ 8.9K) - The standard data-centric AI package for data quality and machine..

(🥈31 · ⭐ 13K · 💀) - Awesome pre-trained models toolkit based on PaddlePaddle…

(🥈28 · ⭐ 7.9K · 💀) - StarCraft II Learning Environment.

(🥈28 · ⭐ 2.1K) - Algorithms for outlier, adversarial and drift detection.

(🥈28 · ⭐ 1.4K) - MiniSom is a minimalistic implementation of the Self Organizing..

(🥈28 · ⭐ 210) - Fast matrix-multiplication as a self-contained Python library no..

(🥉27 · ⭐ 11K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,.. ❗Unlicensed

(🥉26 · ⭐ 1.1K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed

(🥉25 · ⭐ 1.8K · 💀) - Feature engineering package with sklearn like functionality.

(🥉24 · ⭐ 510 · 💀) - Find pyspark to make it importable.

(🥉22 · ⭐ 3K · 💀) - Turns your machine learning code into microservices with web API,..

(🥉22 · ⭐ 830 · 💀) - ML-Ensemble high performance ensemble learning.

(🥉22 · ⭐ 680 · 💀) - Python package for stacking (machine learning technique).

(🥉21 · ⭐ 350 · 💀) - Data imputations library to preprocess datasets with missing data.

(🥉20 · ⭐ 2.8K · 💀) - StreamAlert is a serverless, realtime data analysis..

(🥉20 · ⭐ 490 · 💀) - apricot implements submodular optimization for the purpose of..

(🥉19 · ⭐ 400 · 💀) - A scikit-learn-compatible Python implementation of..

(🥉18 · ⭐ 590 · 💀) - A graph-based functional API for building complex scikit-learn..

(🥉18 · ⭐ 310 · 💀) - pandas, scikit-learn, xgboost and seaborn integration.

(🥉15 · ⭐ 580 · 💀) - A Pytorch Knowledge Distillation library for benchmarking and..

(🥉13 · ⭐ 1.3K · 💀) - A web app to generate template code for machine learning.

(🥉12 · ⭐ 84 · 💀) - An intelligent, flexible grammar of machine learning.

Machine Learning Frameworks 62 projects
Data Visualization 54 projects
Text Data & NLP 102 projects
Image Data 64 projects
Graph Data 36 projects
Audio Data 29 projects
Geospatial Data 22 projects
Financial Data 25 projects
Time Series Data 30 projects
Medical Data 19 projects
Tabular Data 5 projects
Optical Character Recognition 12 projects
Data Containers & Structures 1 projects
Data Loading & Extraction 1 projects
Web Scraping & Crawling 1 projects
Data Pipelines & Streaming 1 projects
Distributed Machine Learning 36 projects
Hyperparameter Optimization & AutoML 52 projects
Reinforcement Learning 23 projects
Recommender Systems 17 projects
Privacy Machine Learning 7 projects
Workflow & Experiment Tracking 40 projects
Model Serialization & Deployment 20 projects
Model Interpretability 54 projects
Vector Similarity Search (ANN) 13 projects
Probabilistics & Statistics 23 projects
Adversarial Robustness 9 projects
GPU & Accelerator Utilities 20 projects
Tensorflow Utilities 16 projects
Jax Utilities 3 projects
Sklearn Utilities 19 projects
Pytorch Utilities 32 projects
Database Clients 1 projects
Others 66 projects

Explanation

🥇🥈🥉 Combined project-quality score
⭐️ Star count from GitHub
🐣 New project (less than 6 months old)
💤 Inactive project (6 months no activity)
💀 Dead project (12 months no activity)
📈📉 Project is trending up or down
➕ Project was recently added
❗️ Warning (e.g. missing/risky license)
👨‍💻 Contributors count from GitHub
🔀 Fork count from GitHub
📋 Issue count from GitHub
⏱️ Last update timestamp on package manager
📥 Download count from package manager
📦 Number of dependent projects
Tensorflow related project
Sklearn related project
PyTorch related project
MxNet related project
Apache Spark related project
Jupyter related project
PaddlePaddle related project
Pandas related project
Jax related project

Machine Learning Frameworks

General-purpose machine learning and deep learning frameworks.

(🥇56 · ⭐ 190K) - An Open Source Machine Learning Framework for Everyone.

GitHub (👨‍💻 4.6K · 🔀 74K · 📦 380K · 📋 40K - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/tensorflow/tensorflow
```
PyPi (📥 21M / month · 📦 7.4K · ⏱️ 09.03.2024): pip install tensorflow
Conda (📥 4.7M · ⏱️ 24.05.2024): conda install -c conda-forge tensorflow
Docker Hub (📥 77M · ⭐ 2.4K · ⏱️ 06.06.2024): docker pull tensorflow/tensorflow

(🥇55 · ⭐ 79K) - Tensors and Dynamic neural networks in Python with strong GPU..

GitHub (👨‍💻 4.9K · 🔀 21K · 📥 43K · 📦 460K · 📋 44K - 32% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/pytorch
```
PyPi (📥 29M / month · 📦 17K · ⏱️ 05.06.2024): pip install torch
Conda (📥 22M · ⏱️ 04.06.2024): conda install -c pytorch pytorch

(🥇52 · ⭐ 59K) - scikit-learn: machine learning in Python.

GitHub (👨‍💻 3.1K · 🔀 25K · 📥 960 · 📦 790K · 📋 11K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/scikit-learn/scikit-learn
```
PyPi (📥 68M / month · 📦 22K · ⏱️ 21.05.2024): pip install scikit-learn
Conda (📥 29M · ⏱️ 23.05.2024): conda install -c conda-forge scikit-learn

(🥇48 · ⭐ 61K) - Deep Learning for humans.

GitHub (👨‍💻 1.3K · 🔀 19K · 📋 12K - 1% open · ⏱️ 05.06.2024):
```
git clone https://github.com/keras-team/keras
```
PyPi (📥 17M / month · 📦 1.4K · ⏱️ 22.04.2024): pip install keras
Conda (📥 3.5M · ⏱️ 27.04.2024): conda install -c conda-forge keras

(🥇45 · ⭐ 39K) - Apache Spark Python API.

GitHub (👨‍💻 3.1K · 🔀 28K · ⏱️ 06.06.2024):
```
git clone https://github.com/apache/spark
```
PyPi (📥 29M / month · 📦 1.4K · ⏱️ 03.06.2024): pip install pyspark
Conda (📥 3.2M · ⏱️ 03.03.2024): conda install -c conda-forge pyspark

(🥇45 · ⭐ 29K) - Composable transformations of Python+NumPy programs: differentiate,..

GitHub (👨‍💻 700 · 🔀 2.6K · 📦 26K · 📋 5.5K - 29% open · ⏱️ 06.06.2024):
```
git clone https://github.com/google/jax
```
PyPi (📥 5.9M / month · 📦 1.5K · ⏱️ 09.05.2024): pip install jax
Conda (📥 1.3M · ⏱️ 22.05.2024): conda install -c conda-forge jaxlib

(🥇45 · ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning..

GitHub (👨‍💻 1.2K · 🔀 5.4K · 📥 15K · 📦 5.2K · 📋 19K - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/PaddlePaddle/Paddle
```
PyPi (📥 210K / month · 📦 110 · ⏱️ 19.03.2024): pip install paddlepaddle

(🥇45 · ⭐ 9.7K) - Statsmodels: statistical modeling and econometrics in Python.

GitHub (👨‍💻 430 · 🔀 2.8K · 📥 31 · 📦 130K · 📋 5.5K - 50% open · ⏱️ 01.06.2024):
```
git clone https://github.com/statsmodels/statsmodels
```
PyPi (📥 17M / month · 📦 4K · ⏱️ 17.04.2024): pip install statsmodels
Conda (📥 13M · ⏱️ 17.05.2024): conda install -c conda-forge statsmodels

(🥈44 · ⭐ 27K) - Pretrain, finetune and deploy AI models on multiple..

GitHub (👨‍💻 950 · 🔀 3.3K · 📥 7.6K · 📦 33K · 📋 6.9K - 10% open · ⏱️ 06.06.2024):
```
git clone https://github.com/Lightning-AI/lightning
```
PyPi (📥 5.4M / month · 📦 1.4K · ⏱️ 22.05.2024): pip install pytorch-lightning
Conda (📥 1.2M · ⏱️ 12.04.2024): conda install -c conda-forge pytorch-lightning

(🥈44 · ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or..

GitHub (👨‍💻 640 · 🔀 8.7K · 📥 8.6K · 📦 94K · 📋 5.2K - 8% open · ⏱️ 05.06.2024):
```
git clone https://github.com/dmlc/xgboost
```
PyPi (📥 20M / month · 📦 1.8K · ⏱️ 31.05.2024): pip install xgboost
Conda (📥 4.9M · ⏱️ 18.04.2024): conda install -c conda-forge xgboost

(🥈43 · ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,..

GitHub (👨‍💻 300 · 🔀 3.8K · 📥 220K · 📦 34K · 📋 3.4K - 11% open · ⏱️ 05.06.2024):
```
git clone https://github.com/microsoft/LightGBM
```
PyPi (📥 7.6M / month · 📦 1K · ⏱️ 26.01.2024): pip install lightgbm
Conda (📥 2.3M · ⏱️ 26.01.2024): conda install -c conda-forge lightgbm

(🥈41 · ⭐ 7.8K) - A fast, scalable, high performance Gradient Boosting on Decision..

GitHub (👨‍💻 1.2K · 🔀 1.1K · 📥 260K · 📦 14 · 📋 2.3K - 22% open · ⏱️ 06.06.2024):
```
git clone https://github.com/catboost/catboost
```
PyPi (📥 2.2M / month · 📦 390 · ⏱️ 18.04.2024): pip install catboost
Conda (📥 1.5M · ⏱️ 18.04.2024): conda install -c conda-forge catboost

(🥈40 · ⭐ 26K) - The fastai deep learning library.

GitHub (👨‍💻 670 · 🔀 7.5K · 📦 17K · 📋 1.8K - 11% open · ⏱️ 25.05.2024):
```
git clone https://github.com/fastai/fastai
```
PyPi (📥 370K / month · 📦 290 · ⏱️ 27.04.2024): pip install fastai

(🥈39 · ⭐ 20K) - Build multimodal AI applications with cloud-native stack.

GitHub (👨‍💻 180 · 🔀 2.2K · 📦 1.7K · 📋 2K - 1% open · ⏱️ 16.05.2024):
```
git clone https://github.com/jina-ai/jina
```
PyPi (📥 40K / month · 📦 27 · ⏱️ 10.04.2024): pip install jina
Conda (📥 65K · ⏱️ 16.06.2023): conda install -c conda-forge jina-core
Docker Hub (📥 1.3M · ⭐ 8 · ⏱️ 16.05.2024): docker pull jinaai/jina

(🥈39 · ⭐ 5.7K) - Flax is a neural network library for JAX that is designed for..

GitHub (👨‍💻 220 · 🔀 600 · 📥 51 · 📦 7.7K · 📋 930 - 24% open · ⏱️ 06.06.2024):
```
git clone https://github.com/google/flax
```
PyPi (📥 3.4M / month · 📦 400 · ⏱️ 24.05.2024): pip install flax
Conda (📥 52K · ⏱️ 30.04.2024): conda install -c conda-forge flax

(🥈38 · ⭐ 23K) - Apache Flink Python API.

GitHub (👨‍💻 1.9K · 🔀 13K · 📦 21 · ⏱️ 06.06.2024):
```
git clone https://github.com/apache/flink
```
PyPi (📥 80K / month · 📦 24 · ⏱️ 15.03.2024): pip install apache-flink

(🥈37 · ⭐ 9.9K) - Theano was a Python library that allows you to define, optimize, and..

GitHub (👨‍💻 390 · 🔀 2.5K · 📦 15K · 📋 2.8K - 24% open · ⏱️ 15.01.2024):
```
git clone https://github.com/Theano/Theano
```
PyPi (📥 300K / month · 📦 170 · ⏱️ 27.07.2020): pip install theano
Conda (📥 2.4M · ⏱️ 16.06.2023): conda install -c conda-forge theano

(🥈36 · ⭐ 14K · 📈) - The Unified AI Framework.

GitHub (👨‍💻 1.5K · 🔀 5.8K · 📋 17K - 5% open · ⏱️ 06.06.2024):
```
git clone https://github.com/unifyai/ivy
```
PyPi (📥 1.5K / month · 📦 12 · ⏱️ 05.06.2024): pip install ivy

(🥈36 · ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite..

GitHub (👨‍💻 63 · 🔀 280 · 📦 48K · 📋 140 - 13% open · ⏱️ 03.06.2024):
```
git clone https://github.com/explosion/thinc
```
PyPi (📥 9.9M / month · 📦 120 · ⏱️ 04.06.2024): pip install thinc
Conda (📥 2.8M · ⏱️ 11.05.2024): conda install -c conda-forge thinc

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GitHub (👨‍💻 160 · 🔀 1.2K · 📦 260 · 📋 1.1K - 32% open · ⏱️ 01.06.2024):
```
git clone https://github.com/ludwig-ai/ludwig
```
PyPi (📥 4.7K / month · 📦 6 · ⏱️ 08.04.2024): pip install ludwig

(🥈34 · ⭐ 8.4K) - Vowpal Wabbit is a machine learning system which pushes the..

GitHub (👨‍💻 340 · 🔀 1.9K · 📋 1.3K - 10% open · ⏱️ 23.05.2024):
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
PyPi (📥 62K / month · 📦 40 · ⏱️ 19.07.2023): pip install vowpalwabbit
Conda (📥 160K · ⏱️ 26.04.2024): conda install -c conda-forge vowpalwabbit

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GitHub (👨‍💻 27 · 🔀 340 · 📦 36K · 📋 170 - 19% open · ⏱️ 26.05.2024):
```
git clone https://github.com/arogozhnikov/einops
```
PyPi (📥 7.3M / month · 📦 1.7K · ⏱️ 28.04.2024): pip install einops
Conda (📥 220K · ⏱️ 28.04.2024): conda install -c conda-forge einops

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GitHub (👨‍💻 530 · 🔀 600 · 📦 2.9K · 📋 1.4K - 10% open · ⏱️ 04.06.2024):
```
git clone https://github.com/pytorch/ignite
```
PyPi (📥 260K / month · 📦 84 · ⏱️ 06.06.2024): pip install pytorch-ignite
Conda (📥 180K · ⏱️ 01.04.2024): conda install -c pytorch ignite

(🥉33 · ⭐ 4.9K) - mlpack: a fast, header-only C++ machine learning library.

GitHub (👨‍💻 320 · 🔀 1.6K · 📋 1.6K - 1% open · ⏱️ 03.06.2024):
```
git clone https://github.com/mlpack/mlpack
```
PyPi (📥 2.3K / month · 📦 2 · ⏱️ 28.05.2024): pip install mlpack
Conda (📥 190K · ⏱️ 29.05.2024): conda install -c conda-forge mlpack

(🥉32 · ⭐ 9.7K) - TensorFlow-based neural network library.

GitHub (👨‍💻 59 · 🔀 1.3K · 📦 1.3K · 📋 190 - 16% open · ⏱️ 08.04.2024):
```
git clone https://github.com/deepmind/sonnet
```
PyPi (📥 18K / month · 📦 18 · ⏱️ 02.01.2024): pip install dm-sonnet
Conda (📥 29K · ⏱️ 16.06.2023): conda install -c conda-forge sonnet

(🥉32 · ⭐ 6.3K · 💤) - A Neural Net Training Interface on TensorFlow, with..

GitHub (👨‍💻 58 · 🔀 1.8K · 📥 170 · 📦 1.6K · 📋 1.4K - 0% open · ⏱️ 06.08.2023):
```
git clone https://github.com/tensorpack/tensorpack
```
PyPi (📥 14K / month · 📦 18 · ⏱️ 22.01.2021): pip install tensorpack
Conda (📥 11K · ⏱️ 16.06.2023): conda install -c conda-forge tensorpack

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GitHub (👨‍💻 62 · 🔀 380 · 📦 1.3K · 📋 520 - 11% open · ⏱️ 30.05.2024):
```
git clone https://github.com/skorch-dev/skorch
```
PyPi (📥 170K / month · 📦 80 · ⏱️ 27.05.2024): pip install skorch
Conda (📥 780K · ⏱️ 30.05.2024): conda install -c conda-forge skorch

(🥉31 · ⭐ 3.4K · 💤) - DyNet: The Dynamic Neural Network Toolkit.

GitHub (👨‍💻 160 · 🔀 700 · 📥 16K · 📦 260 · 📋 940 - 29% open · ⏱️ 08.11.2023):
```
git clone https://github.com/clab/dynet
```
PyPi (📥 290K / month · 📦 18 · ⏱️ 21.10.2020): pip install dyNET

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GitHub (👨‍💻 81 · 🔀 230 · 📦 1.9K · 📋 250 - 28% open · ⏱️ 22.05.2024):
```
git clone https://github.com/deepmind/dm-haiku
```
PyPi (📥 290K / month · 📦 160 · ⏱️ 28.02.2024): pip install dm-haiku
Conda (📥 17K · ⏱️ 28.02.2024): conda install -c conda-forge dm-haiku

(🥉31 · ⭐ 680) - TensorFlow ROCm port.

GitHub (👨‍💻 4.6K · 🔀 91 · 📥 21 · 📋 370 - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
PyPi (📥 4.1K / month · 📦 6 · ⏱️ 10.01.2024): pip install tensorflow-rocm

(🥉30 · ⭐ 2.9K) - Determined is an open-source machine learning platform..

GitHub (👨‍💻 120 · 🔀 340 · 📥 8.1K · 📋 460 - 26% open · ⏱️ 06.06.2024):
```
git clone https://github.com/determined-ai/determined
```
PyPi (📥 47K / month · 📦 4 · ⏱️ 29.05.2024): pip install determined

(🥉30 · ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more..

GitHub (👨‍💻 16 · 🔀 270 · 📦 520 · 📋 490 - 0% open · ⏱️ 05.04.2024):
```
git clone https://github.com/amaiya/ktrain
```
PyPi (📥 10K / month · 📦 3 · ⏱️ 05.04.2024): pip install ktrain

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GitHub (👨‍💻 92 · 🔀 230 · 📦 110 · 📋 560 - 37% open · ⏱️ 21.05.2024):
```
git clone https://github.com/geomstats/geomstats
```
PyPi (📥 3.4K / month · 📦 3 · ⏱️ 30.08.2023): pip install geomstats
Conda (📥 2.6K · ⏱️ 30.08.2023): conda install -c conda-forge geomstats

(🥉29 · ⭐ 2.7K) - Neural Network Libraries.

GitHub (👨‍💻 76 · 🔀 330 · 📥 920 · 📋 95 - 36% open · ⏱️ 06.06.2024):
```
git clone https://github.com/sony/nnabla
```
PyPi (📥 4.2K / month · 📦 44 · ⏱️ 29.05.2024): pip install nnabla

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GitHub (👨‍💻 73 · 🔀 250 · 📥 410K · 📦 140 · 📋 300 - 25% open · ⏱️ 03.12.2023):
```
git clone https://github.com/georgia-tech-db/eva
```
PyPi (📥 460 / month · ⏱️ 19.11.2023): pip install evadb

(🥉27 · ⭐ 600) - Machine learning for multivariate data through the Riemannian..

GitHub (👨‍💻 33 · 🔀 160 · 📦 350 · 📋 100 - 3% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pyRiemann/pyRiemann
```
PyPi (📥 34K / month · 📦 26 · ⏱️ 10.04.2024): pip install pyriemann
Conda (📥 6K · ⏱️ 10.04.2024): conda install -c conda-forge pyriemann

(🥉26 · ⭐ 3K) - Unified and efficient Machine Learning.

GitHub (👨‍💻 250 · 🔀 1K · 📋 1.5K - 27% open · ⏱️ 19.12.2023):
```
git clone https://github.com/shogun-toolbox/shogun
```
Conda (📥 130K · ⏱️ 16.06.2023): conda install -c conda-forge shogun
Docker Hub (📥 1.5K · ⭐ 1 · ⏱️ 31.01.2019): docker pull shogun/shogun

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GitHub (👨‍💻 35 · 🔀 250 · 📥 2.6K · 📋 660 - 0% open · ⏱️ 20.01.2024):
```
git clone https://github.com/towhee-io/towhee
```
PyPi (📥 18K / month · ⏱️ 04.12.2023): pip install towhee

(🥉24 · ⭐ 2.2K · 📉) - Fast and Easy Infinite Neural Networks in Python.

GitHub (👨‍💻 29 · 🔀 240 · 📥 380 · 📦 100 · 📋 160 - 38% open · ⏱️ 01.03.2024):
```
git clone https://github.com/google/neural-tangents
```
PyPi (📥 2.3K / month · 📦 1 · ⏱️ 11.12.2023): pip install neural-tangents

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GitHub (👨‍💻 55 · 🔀 160 · 📦 13 · 📋 63 - 60% open · ⏱️ 08.11.2023):
```
git clone https://github.com/nubank/fklearn
```
PyPi (📥 1.1K / month · ⏱️ 23.05.2024): pip install fklearn

(🥉23 · ⭐ 4.9K) - MACE is a deep learning inference framework optimized for mobile..

GitHub (👨‍💻 69 · 🔀 820 · 📥 1.5K · 📋 680 - 8% open · ⏱️ 11.03.2024):
```
git clone https://github.com/XiaoMi/mace
```

(🥉22 · ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs.

GitHub (👨‍💻 37 · 🔀 210 · 📥 2.8K · 📋 230 - 34% open · ⏱️ 01.04.2024):
```
git clone https://github.com/Xtra-Computing/thundersvm
```
PyPi (📥 840 / month · ⏱️ 13.03.2020): pip install thundersvm

(🥉21 · ⭐ 760) - Objax is a machine learning framework that provides an Object..

GitHub (👨‍💻 26 · 🔀 78 · 📦 54 · 📋 110 - 45% open · ⏱️ 27.01.2024):
```
git clone https://github.com/google/objax
```
PyPi (📥 630 / month · 📦 4 · ⏱️ 06.11.2023): pip install objax

(🥉21 · ⭐ 760) - Machine learning framework for both deep learning and traditional..

GitHub (👨‍💻 37 · 🔀 120 · 📋 87 - 42% open · ⏱️ 29.05.2024):
```
git clone https://github.com/neoml-lib/neoml
```
PyPi (📥 130 / month · ⏱️ 26.12.2023): pip install neoml

(🥉21 · ⭐ 630) - torchbearer: A model fitting library for PyTorch.

GitHub (👨‍💻 14 · 🔀 68 · 📦 88 · 📋 250 - 4% open · ⏱️ 04.12.2023):
```
git clone https://github.com/pytorchbearer/torchbearer
```
PyPi (📥 390 / month · 📦 4 · ⏱️ 01.12.2023): pip install torchbearer

(🥉20 · ⭐ 440) - A Lightweight Decision Tree Framework supporting regular algorithms:..

GitHub (👨‍💻 7 · 🔀 100 · 📦 53 · 📋 49 - 14% open · ⏱️ 26.12.2023):
```
git clone https://github.com/serengil/chefboost
```
PyPi (📥 2.6K / month · ⏱️ 16.02.2022): pip install chefboost

(🥉17 · ⭐ 690) - ThunderGBM: Fast GBDTs and Random Forests on GPUs.

GitHub (👨‍💻 12 · 🔀 87 · 📦 2 · 📋 81 - 48% open · ⏱️ 29.01.2024):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
PyPi (📥 220 / month · ⏱️ 19.09.2022): pip install thundergbm

Show 15 hidden projects…

(🥈41 · ⭐ 13K) - A toolkit for making real world machine learning and data analysis..

(🥈38 · ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep..

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Data Visualization

General-purpose and task-specific data visualization libraries.

(🥇48 · ⭐ 20K) - matplotlib: plotting with Python. ❗Unlicensed

GitHub (👨‍💻 1.7K · 🔀 7.4K · 📦 1.2M · 📋 11K - 14% open · ⏱️ 05.06.2024):
```
git clone https://github.com/matplotlib/matplotlib
```
PyPi (📥 66M / month · 📦 45K · ⏱️ 15.05.2024): pip install matplotlib
Conda (📥 24M · ⏱️ 17.05.2024): conda install -c conda-forge matplotlib

(🥇45 · ⭐ 19K) - Interactive Data Visualization in the browser, from Python.

GitHub (👨‍💻 690 · 🔀 4.2K · 📦 89K · 📋 7.7K - 10% open · ⏱️ 05.06.2024):
```
git clone https://github.com/bokeh/bokeh
```
PyPi (📥 4M / month · 📦 1.6K · ⏱️ 04.06.2024): pip install bokeh
Conda (📥 14M · ⏱️ 12.04.2024): conda install -c conda-forge bokeh

(🥇44 · ⭐ 15K) - The interactive graphing library for Python This project now includes..

GitHub (👨‍💻 260 · 🔀 2.5K · 📦 270K · 📋 2.9K - 51% open · ⏱️ 03.06.2024):
```
git clone https://github.com/plotly/plotly.py
```
PyPi (📥 16M / month · 📦 5.6K · ⏱️ 01.05.2024): pip install plotly
Conda (📥 6M · ⏱️ 04.05.2024): conda install -c conda-forge plotly
npm (📥 14K / month · 📦 9 · ⏱️ 12.01.2021): npm install plotlywidget

(🥇43 · ⭐ 12K) - Statistical data visualization in Python.

GitHub (👨‍💻 210 · 🔀 1.9K · 📥 390 · 📦 420K · 📋 2.5K - 5% open · ⏱️ 25.04.2024):
```
git clone https://github.com/mwaskom/seaborn
```
PyPi (📥 17M / month · 📦 9.7K · ⏱️ 25.01.2024): pip install seaborn
Conda (📥 8.9M · ⏱️ 30.04.2024): conda install -c conda-forge seaborn

(🥇41 · ⭐ 21K) - Data Apps & Dashboards for Python. No JavaScript Required.

GitHub (👨‍💻 160 · 🔀 2K · 📥 72 · 📦 64K · 📋 1.8K - 46% open · ⏱️ 03.06.2024):
```
git clone https://github.com/plotly/dash
```
PyPi (📥 2.9M / month · 📦 1.2K · ⏱️ 03.05.2024): pip install dash
Conda (📥 1.3M · ⏱️ 04.05.2024): conda install -c conda-forge dash

(🥇41 · ⭐ 9K) - Declarative statistical visualization library for Python.

GitHub (👨‍💻 160 · 🔀 760 · 📥 120 · 📦 140K · 📋 2K - 8% open · ⏱️ 23.05.2024):
```
git clone https://github.com/altair-viz/altair
```
PyPi (📥 24M / month · 📦 770 · ⏱️ 30.03.2024): pip install altair
Conda (📥 2.3M · ⏱️ 30.03.2024): conda install -c conda-forge altair

(🥈38 · ⭐ 12K) - 1 Line of code data quality profiling & exploratory..

GitHub (👨‍💻 120 · 🔀 1.6K · 📥 100 · 📦 3.3K · 📋 780 - 28% open · ⏱️ 31.05.2024):
```
git clone https://github.com/ydataai/pandas-profiling
```
PyPi (📥 820K / month · 📦 180 · ⏱️ 03.02.2023): pip install pandas-profiling
Conda (📥 430K · ⏱️ 16.06.2023): conda install -c conda-forge pandas-profiling

(🥈38 · ⭐ 2.6K) - With Holoviews, your data visualizes itself.

GitHub (👨‍💻 140 · 🔀 390 · 📦 11K · 📋 3.3K - 33% open · ⏱️ 06.06.2024):
```
git clone https://github.com/holoviz/holoviews
```
PyPi (📥 490K / month · 📦 360 · ⏱️ 23.05.2024): pip install holoviews
Conda (📥 1.6M · ⏱️ 12.02.2024): conda install -c conda-forge holoviews
npm (📥 200 / month · 📦 5 · ⏱️ 22.03.2024): npm install @pyviz/jupyterlab_pyviz

(🥈37 · ⭐ 3.9K · 📈) - A Grammar of Graphics for Python.

GitHub (👨‍💻 110 · 🔀 200 · 📦 7.8K · 📋 640 - 11% open · ⏱️ 30.05.2024):
```
git clone https://github.com/has2k1/plotnine
```
PyPi (📥 3.3M / month · 📦 260 · ⏱️ 09.05.2024): pip install plotnine
Conda (📥 370K · ⏱️ 10.05.2024): conda install -c conda-forge plotnine

(🥈37 · ⭐ 3.7K) - Fast data visualization and GUI tools for scientific / engineering..

GitHub (👨‍💻 280 · 🔀 1.1K · 📦 9.6K · 📋 1.3K - 30% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
PyPi (📥 230K / month · 📦 940 · ⏱️ 29.04.2024): pip install pyqtgraph
Conda (📥 540K · ⏱️ 02.05.2024): conda install -c conda-forge pyqtgraph

(🥈37 · ⭐ 1.6K) - Simple Python interface for Graphviz.

GitHub (👨‍💻 23 · 🔀 210 · 📦 67K · 📋 180 - 7% open · ⏱️ 13.05.2024):
```
git clone https://github.com/xflr6/graphviz
```
PyPi (📥 12M / month · 📦 2.4K · ⏱️ 21.03.2024): pip install graphviz
Conda (📥 46K · ⏱️ 08.04.2024): conda install -c anaconda python-graphviz

(🥈36 · ⭐ 15K) - Python Echarts Plotting Library.

GitHub (👨‍💻 43 · 🔀 2.8K · 📥 58 · 📦 4.2K · 📋 1.9K - 0% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pyecharts/pyecharts
```
PyPi (📥 210K / month · 📦 190 · ⏱️ 03.03.2024): pip install pyecharts

(🥈36 · ⭐ 2.4K) - 3D plotting and mesh analysis through a streamlined interface for..

GitHub (👨‍💻 160 · 🔀 440 · 📥 800 · 📦 3K · 📋 1.6K - 34% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pyvista/pyvista
```
PyPi (📥 280K / month · 📦 490 · ⏱️ 06.06.2024): pip install pyvista
Conda (📥 490K · ⏱️ 06.06.2024): conda install -c conda-forge pyvista

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GitHub (👨‍💻 120 · 🔀 510 · 📦 590 · 📋 1.5K - 32% open · ⏱️ 06.06.2024):
```
git clone https://github.com/voxel51/fiftyone
```
PyPi (📥 51K / month · 📦 18 · ⏱️ 29.05.2024): pip install fiftyone

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GitHub (👨‍💻 200 · 🔀 620 · 📦 1.5K · 📋 1.5K - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/vispy/vispy
```
PyPi (📥 90K / month · 📦 150 · ⏱️ 14.03.2024): pip install vispy
Conda (📥 500K · ⏱️ 17.05.2024): conda install -c conda-forge vispy
npm (📥 13 / month · 📦 3 · ⏱️ 15.03.2020): npm install vispy

(🥈35 · ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support.

GitHub (👨‍💻 130 · 🔀 360 · 📦 5K · 📋 1.3K - 24% open · ⏱️ 21.05.2024):
```
git clone https://github.com/SciTools/cartopy
```
PyPi (📥 220K / month · 📦 590 · ⏱️ 10.04.2024): pip install cartopy
Conda (📥 3.6M · ⏱️ 16.05.2024): conda install -c conda-forge cartopy

(🥈34 · ⭐ 3.2K) - Quickly and accurately render even the largest data.

GitHub (👨‍💻 55 · 🔀 360 · 📦 4.2K · 📋 580 - 23% open · ⏱️ 31.05.2024):
```
git clone https://github.com/holoviz/datashader
```
PyPi (📥 120K / month · 📦 180 · ⏱️ 31.05.2024): pip install datashader
Conda (📥 910K · ⏱️ 31.05.2024): conda install -c conda-forge datashader

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GitHub (👨‍💻 130 · 🔀 760 · 📦 1 · 📋 790 - 57% open · ⏱️ 25.04.2024):
```
git clone https://github.com/lmcinnes/umap
```
PyPi (📥 1.4M / month · 📦 830 · ⏱️ 03.04.2024): pip install umap-learn
Conda (📥 2.4M · ⏱️ 04.02.2024): conda install -c conda-forge umap-learn

(🥈32 · ⭐ 10K · 📉) - A little word cloud generator in Python.

GitHub (👨‍💻 72 · 🔀 2.3K · 📦 21 · 📋 540 - 22% open · ⏱️ 09.12.2023):
```
git clone https://github.com/amueller/word_cloud
```
PyPi (📥 2M / month · 📦 500 · ⏱️ 09.12.2023): pip install wordcloud
Conda (📥 490K · ⏱️ 19.03.2024): conda install -c conda-forge wordcloud

(🥈31 · ⭐ 7.7K) - A data visualization and analytics component, especially..

GitHub (👨‍💻 93 · 🔀 1K · 📥 2.9K · 📦 120 · 📋 760 - 13% open · ⏱️ 29.05.2024):
```
git clone https://github.com/finos/perspective
```
PyPi (📥 5.9K / month · 📦 22 · ⏱️ 23.05.2024): pip install perspective-python
Conda (📥 650K · ⏱️ 23.05.2024): conda install -c conda-forge perspective
npm (📥 3.8K / month · 📦 6 · ⏱️ 23.05.2024): npm install @finos/perspective-jupyterlab

(🥈31 · ⭐ 1.5K) - Multiplatform plotting library based on the Grammar of Graphics.

GitHub (👨‍💻 20 · 🔀 47 · 📥 720 · 📦 79 · 📋 560 - 24% open · ⏱️ 06.06.2024):
```
git clone https://github.com/JetBrains/lets-plot
```
PyPi (📥 19K / month · 📦 13 · ⏱️ 29.05.2024): pip install lets-plot

(🥈31 · ⭐ 980) - A high-level plotting API for pandas, dask, xarray, and networkx built on..

GitHub (👨‍💻 46 · 🔀 99 · 📦 5.1K · 📋 760 - 44% open · ⏱️ 06.05.2024):
```
git clone https://github.com/holoviz/hvplot
```
PyPi (📥 240K / month · 📦 170 · ⏱️ 06.05.2024): pip install hvplot
Conda (📥 580K · ⏱️ 07.05.2024): conda install -c conda-forge hvplot

(🥉30 · ⭐ 4.6K) - Visualizer for pandas data structures.

GitHub (👨‍💻 30 · 🔀 380 · 📦 1.1K · 📋 580 - 10% open · ⏱️ 30.04.2024):
```
git clone https://github.com/man-group/dtale
```
PyPi (📥 73K / month · 📦 39 · ⏱️ 30.04.2024): pip install dtale
Conda (📥 290K · ⏱️ 30.04.2024): conda install -c conda-forge dtale

(🥉30 · ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks.

GitHub (👨‍💻 64 · 🔀 460 · 📦 55 · 📋 620 - 41% open · ⏱️ 21.05.2024):
```
git clone https://github.com/bqplot/bqplot
```
PyPi (📥 120K / month · 📦 92 · ⏱️ 25.03.2024): pip install bqplot
Conda (📥 1.3M · ⏱️ 19.02.2024): conda install -c conda-forge bqplot
npm (📥 3K / month · 📦 21 · ⏱️ 25.03.2024): npm install bqplot

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GitHub (👨‍💻 52 · 🔀 360 · 📦 6.1K · 📋 360 - 59% open · ⏱️ 23.12.2023):
```
git clone https://github.com/mpld3/mpld3
```
PyPi (📥 530K / month · 📦 130 · ⏱️ 23.12.2023): pip install mpld3
Conda (📥 200K · ⏱️ 23.12.2023): conda install -c conda-forge mpld3
npm (📥 790 / month · 📦 9 · ⏱️ 23.12.2023): npm install mpld3

(🥉30 · ⭐ 750) - Library for exploring and validating machine learning..

GitHub (👨‍💻 26 · 🔀 170 · 📥 650 · 📦 900 · 📋 180 - 20% open · ⏱️ 03.06.2024):
```
git clone https://github.com/tensorflow/data-validation
```
PyPi (📥 200K / month · 📦 31 · ⏱️ 24.04.2024): pip install tensorflow-data-validation

(🥉28 · ⭐ 1.7K) - Automatically Visualize any dataset, any size with a single line of..

GitHub (👨‍💻 17 · 🔀 200 · 📦 690 · 📋 92 - 2% open · ⏱️ 29.04.2024):
```
git clone https://github.com/AutoViML/AutoViz
```
PyPi (📥 40K / month · 📦 7 · ⏱️ 29.04.2024): pip install autoviz
Conda (📥 52K · ⏱️ 26.04.2024): conda install -c conda-forge autoviz

(🥉26 · ⭐ 2.8K · 💤) - Visualize and compare datasets, target values and associations, with..

GitHub (👨‍💻 11 · 🔀 260 · 📦 2.3K · 📋 130 - 27% open · ⏱️ 29.11.2023):
```
git clone https://github.com/fbdesignpro/sweetviz
```
PyPi (📥 67K / month · 📦 29 · ⏱️ 29.11.2023): pip install sweetviz
Conda (📥 30K · ⏱️ 04.12.2023): conda install -c conda-forge sweetviz

(🥉26 · ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional..

GitHub (👨‍💻 22 · 🔀 160 · 📥 36 · 📦 420 · 📋 200 - 33% open · ⏱️ 19.03.2024):
```
git clone https://github.com/ContextLab/hypertools
```
PyPi (📥 760 / month · 📦 2 · ⏱️ 12.02.2022): pip install hypertools

(🥉26 · ⭐ 1.4K) - Extensible, parallel implementations of t-SNE.

GitHub (👨‍💻 12 · 🔀 160 · 📦 810 · 📋 130 - 3% open · ⏱️ 23.05.2024):
```
git clone https://github.com/pavlin-policar/openTSNE
```
PyPi (📥 39K / month · 📦 43 · ⏱️ 29.11.2023): pip install opentsne
Conda (📥 260K · ⏱️ 19.05.2024): conda install -c conda-forge opentsne

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GitHub (👨‍💻 12 · 🔀 63 · 📦 1.1K · 📋 160 - 28% open · ⏱️ 27.03.2024):
```
git clone https://github.com/predict-idlab/plotly-resampler
```
PyPi (📥 400K / month · 📦 22 · ⏱️ 27.03.2024): pip install plotly-resampler
Conda (📥 43K · ⏱️ 29.03.2024): conda install -c conda-forge plotly-resampler

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GitHub (👨‍💻 25 · 🔀 310 · 📦 76 · 📋 80 - 60% open · ⏱️ 12.10.2023):
```
git clone https://github.com/spotify/chartify
```
PyPi (📥 26K / month · 📦 9 · ⏱️ 12.10.2023): pip install chartify
Conda (📥 31K · ⏱️ 16.06.2023): conda install -c conda-forge chartify

(🥉24 · ⭐ 2.7K · 💤) - HiPlot makes understanding high dimensional data easy.

GitHub (👨‍💻 9 · 🔀 140 · 📦 410 · 📋 93 - 21% open · ⏱️ 19.07.2023):
```
git clone https://github.com/facebookresearch/hiplot
```
PyPi (📥 19K / month · 📦 26 · ⏱️ 05.07.2022): pip install hiplot
Conda (📥 190K · ⏱️ 16.06.2023): conda install -c conda-forge hiplot

(🥉24 · ⭐ 710) - Ternary plotting library for python with matplotlib.

GitHub (👨‍💻 27 · 🔀 160 · 📥 25 · 📦 170 · 📋 140 - 24% open · ⏱️ 07.03.2024):
```
git clone https://github.com/marcharper/python-ternary
```
PyPi (📥 35K / month · 📦 30 · ⏱️ 17.02.2021): pip install python-ternary
Conda (📥 82K · ⏱️ 16.06.2023): conda install -c conda-forge python-ternary

(🥉23 · ⭐ 1.9K) - Parallel t-SNE implementation with Python and Torch..

GitHub (👨‍💻 18 · 🔀 230 · 📦 450 · 📋 69 - 65% open · ⏱️ 06.02.2024):
```
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
PyPi (📥 2.6K / month · 📦 22 · ⏱️ 09.01.2019): pip install MulticoreTSNE
Conda (📥 37K · ⏱️ 11.10.2023): conda install -c conda-forge multicore-tsne

(🥉21 · ⭐ 370) - IPython/Jupyter notebook module for Vega and Vega-Lite.

GitHub (👨‍💻 15 · 🔀 65 · 📦 4 · 📋 110 - 19% open · ⏱️ 01.05.2024):
```
git clone https://github.com/vega/ipyvega
```
PyPi (📥 21K / month · 📦 14 · ⏱️ 12.04.2023): pip install vega
Conda (📥 600K · ⏱️ 18.05.2024): conda install -c conda-forge vega

(🥉20 · ⭐ 830 · 💤) - python partial dependence plot toolbox.

GitHub (👨‍💻 7 · 🔀 130 · 📋 67 - 41% open · ⏱️ 05.06.2023):
```
git clone https://github.com/SauceCat/PDPbox
```
PyPi (📥 21K / month · 📦 26 · ⏱️ 14.03.2021): pip install pdpbox
Conda (📥 21K · ⏱️ 10.06.2023): conda install -c conda-forge pdpbox

(🥉20 · ⭐ 490 · 💤) - Monitor the stability of a Pandas or Spark dataframe.

GitHub (👨‍💻 17 · 🔀 35 · 📥 150 · 📦 20 · 📋 55 - 27% open · ⏱️ 18.07.2023):
```
git clone https://github.com/ing-bank/popmon
```
PyPi (📥 10K / month · 📦 2 · ⏱️ 18.07.2023): pip install popmon

(🥉18 · ⭐ 320 · 💤) - Dimensionality reduction in very large datasets using Siamese..

GitHub (👨‍💻 10 · 🔀 43 · 📦 32 · 📋 60 - 6% open · ⏱️ 09.11.2023):
```
git clone https://github.com/beringresearch/ivis
```
PyPi (📥 1.1K / month · 📦 2 · ⏱️ 10.03.2022): pip install ivis

Show 15 hidden projects…

(🥉29 · ⭐ 3.8K · 💀) - Missing data visualization module for Python.

(🥉29 · ⭐ 3K · 💀) - Productivity Tools for Plotly + Pandas.

(🥉28 · ⭐ 7.3K · 💀) - Visualizations for machine learning datasets.

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(🥉18 · ⭐ 400 · 💀) - A python package for animating plots build on matplotlib.

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(🥉15 · ⭐ 290 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science.

(🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair.

(🥉12 · ⭐ 32 · 💀) - nptsne is a numpy compatible python binary package that offers a..

Text Data & NLP

(🥇52 · ⭐ 130K) - Transformers: State-of-the-art Machine Learning for..

GitHub (👨‍💻 2.6K · 🔀 25K · 📦 180K · 📋 15K - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/transformers
```
PyPi (📥 29M / month · 📦 5.2K · ⏱️ 30.05.2024): pip install transformers
Conda (📥 1.7M · ⏱️ 31.05.2024): conda install -c conda-forge transformers

(🥇44 · ⭐ 29K) - Industrial-strength Natural Language Processing (NLP) in Python.

GitHub (👨‍💻 750 · 🔀 4.3K · 📦 90K · 📋 5.6K - 2% open · ⏱️ 31.05.2024):
```
git clone https://github.com/explosion/spaCy
```
PyPi (📥 13M / month · 📦 2.4K · ⏱️ 05.06.2024): pip install spacy
Conda (📥 3.5M · ⏱️ 05.06.2024): conda install -c conda-forge spacy

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GitHub (👨‍💻 250 · 🔀 1K · 📥 250 · 📦 2K · 📋 2.5K - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/BerriAI/litellm
```
PyPi (📥 610K / month · 📦 220 · ⏱️ 06.06.2024): pip install litellm

(🥇41 · ⭐ 14K) - Multilingual Sentence & Image Embeddings with BERT.

GitHub (👨‍💻 170 · 🔀 2.4K · 📦 35K · 📋 2K - 53% open · ⏱️ 06.06.2024):
```
git clone https://github.com/UKPLab/sentence-transformers
```
PyPi (📥 4.3M / month · 📦 1.3K · ⏱️ 28.05.2024): pip install sentence-transformers
Conda (📥 260K · ⏱️ 28.05.2024): conda install -c conda-forge sentence-transformers

(🥇41 · ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural..

GitHub (👨‍💻 450 · 🔀 2.8K · 📦 280K · 📋 1.8K - 15% open · ⏱️ 05.04.2024):
```
git clone https://github.com/nltk/nltk
```
PyPi (📥 20M / month · 📦 4.3K · ⏱️ 20.07.2023): pip install nltk
Conda (📥 2.6M · ⏱️ 16.06.2023): conda install -c conda-forge nltk

(🥇40 · ⭐ 8.6K) - Fast State-of-the-Art Tokenizers optimized for Research and..

GitHub (👨‍💻 88 · 🔀 740 · 📥 47 · 📦 81K · 📋 960 - 6% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/tokenizers
```
PyPi (📥 26M / month · 📦 750 · ⏱️ 17.04.2024): pip install tokenizers
Conda (📥 1.7M · ⏱️ 18.04.2024): conda install -c conda-forge tokenizers

(🥇39 · ⭐ 15K) - Topic Modelling for Humans.

GitHub (👨‍💻 450 · 🔀 4.3K · 📥 4.6K · 📦 60K · 📋 1.8K - 20% open · ⏱️ 02.06.2024):
```
git clone https://github.com/RaRe-Technologies/gensim
```
PyPi (📥 4.7M / month · 📦 1.3K · ⏱️ 24.08.2023): pip install gensim
Conda (📥 1.3M · ⏱️ 08.02.2024): conda install -c conda-forge gensim

(🥇38 · ⭐ 18K) - Open source machine learning framework to automate text- and voice-..

GitHub (👨‍💻 590 · 🔀 4.5K · 📦 4.2K · 📋 6.8K - 1% open · ⏱️ 21.03.2024):
```
git clone https://github.com/RasaHQ/rasa
```
PyPi (📥 120K / month · 📦 59 · ⏱️ 18.04.2024): pip install rasa

(🥇38 · ⭐ 9.7K) - Unsupervised text tokenizer for Neural Network-based text..

GitHub (👨‍💻 88 · 🔀 1.1K · 📥 38K · 📦 67K · 📋 720 - 3% open · ⏱️ 04.06.2024):
```
git clone https://github.com/google/sentencepiece
```
PyPi (📥 21M / month · 📦 1.5K · ⏱️ 19.02.2024): pip install sentencepiece
Conda (📥 820K · ⏱️ 27.05.2024): conda install -c conda-forge sentencepiece

(🥇37 · ⭐ 14K · 📉) - A very simple framework for state-of-the-art Natural Language..

GitHub (👨‍💻 260 · 🔀 2.1K · 📦 3.3K · 📋 2.3K - 3% open · ⏱️ 24.05.2024):
```
git clone https://github.com/flairNLP/flair
```
PyPi (📥 290K / month · 📦 130 · ⏱️ 18.12.2023): pip install flair
Conda (📥 25K · ⏱️ 05.01.2024): conda install -c conda-forge python-flair

(🥇37 · ⭐ 9K) - Simple, Pythonic, text processing–Sentiment analysis, part-of-speech..

GitHub (👨‍💻 37 · 🔀 1.1K · 📥 120 · 📦 39K · 📋 280 - 39% open · ⏱️ 05.06.2024):
```
git clone https://github.com/sloria/TextBlob
```
PyPi (📥 1.1M / month · 📦 340 · ⏱️ 22.10.2021): pip install textblob
Conda (📥 250K · ⏱️ 16.06.2023): conda install -c conda-forge textblob

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GitHub (👨‍💻 240 · 🔀 1.7K · 📥 24 · 📦 290 · 📋 3.3K - 3% open · ⏱️ 06.06.2024):
```
git clone https://github.com/deepset-ai/haystack
```
PyPi (📥 4.6K / month · 📦 5 · ⏱️ 15.12.2021): pip install haystack

(🥈35 · ⭐ 30K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

GitHub (👨‍💻 420 · 🔀 6.3K · 📥 330 · 📦 3.2K · 📋 4.3K - 29% open · ⏱️ 30.05.2024):
```
git clone https://github.com/facebookresearch/fairseq
```
PyPi (📥 270K / month · 📦 110 · ⏱️ 27.06.2022): pip install fairseq
Conda (📥 69K · ⏱️ 17.05.2024): conda install -c conda-forge fairseq

(🥈35 · ⭐ 10K) - A scalable generative AI framework built for researchers and..

GitHub (👨‍💻 320 · 🔀 2.2K · 📥 180K · 📦 21 · 📋 2.2K - 6% open · ⏱️ 06.06.2024):
```
git clone https://github.com/NVIDIA/NeMo
```
PyPi (📥 49K / month · 📦 13 · ⏱️ 06.06.2024): pip install nemo-toolkit

(🥈35 · ⭐ 6.6K) - Open Source Neural Machine Translation and (Large) Language Models..

GitHub (👨‍💻 190 · 🔀 2.2K · 📦 280 · 📋 1.4K - 1% open · ⏱️ 15.05.2024):
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
PyPi (📥 11K / month · 📦 18 · ⏱️ 18.03.2024): pip install OpenNMT-py

(🥈35 · ⭐ 3.7K) - State of the Art Natural Language Processing.

GitHub (👨‍💻 110 · 🔀 700 · 📦 440 · 📋 880 - 5% open · ⏱️ 27.05.2024):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
PyPi (📥 4.2M / month · 📦 37 · ⏱️ 05.06.2024): pip install spark-nlp

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GitHub (👨‍💻 68 · 🔀 4.7K · 📦 6K · 📋 1.2K - 47% open · ⏱️ 13.03.2024):
```
git clone https://github.com/facebookresearch/fastText
```
PyPi (📥 1.3M / month · 📦 230 · ⏱️ 28.04.2020): pip install fasttext
Conda (📥 83K · ⏱️ 19.05.2024): conda install -c conda-forge fasttext

(🥈34 · ⭐ 7.1K) - Stanford NLP Python library for tokenization, sentence segmentation,..

GitHub (👨‍💻 68 · 🔀 870 · 📦 2.8K · 📋 880 - 10% open · ⏱️ 20.04.2024):
```
git clone https://github.com/stanfordnlp/stanza
```
PyPi (📥 310K / month · 📦 170 · ⏱️ 20.04.2024): pip install stanza
Conda (📥 7.4K · ⏱️ 16.06.2023): conda install -c stanfordnlp stanza

(🥈34 · ⭐ 3.5K) - Models, data loaders and abstractions for language processing,..

GitHub (👨‍💻 160 · 🔀 810 · 📋 840 - 38% open · ⏱️ 24.04.2024):
```
git clone https://github.com/pytorch/text
```
PyPi (📥 680K / month · 📦 260 · ⏱️ 24.04.2024): pip install torchtext

(🥈34 · ⭐ 2K) - a python library for doing approximate and phonetic matching of strings.

GitHub (👨‍💻 31 · 🔀 160 · 📦 9.1K · 📋 130 - 3% open · ⏱️ 28.05.2024):
```
git clone https://github.com/jamesturk/jellyfish
```
PyPi (📥 4.2M / month · 📦 240 · ⏱️ 28.05.2024): pip install jellyfish
Conda (📥 880K · ⏱️ 29.05.2024): conda install -c conda-forge jellyfish

(🥈34 · ⭐ 1.2K) - Making text a first-class citizen in TensorFlow.

GitHub (👨‍💻 120 · 🔀 330 · 📦 6.9K · 📋 340 - 49% open · ⏱️ 04.06.2024):
```
git clone https://github.com/tensorflow/text
```
PyPi (📥 7M / month · 📦 200 · ⏱️ 11.03.2024): pip install tensorflow-text

(🥈33 · ⭐ 18K) - Qdrant - High-performance, massive-scale Vector Database for the next..

GitHub (👨‍💻 110 · 🔀 1.2K · 📥 43K · 📦 110 · 📋 1.1K - 20% open · ⏱️ 28.05.2024):
```
git clone https://github.com/qdrant/qdrant
```

(🥈33 · ⭐ 3.2K) - Argilla is a collaboration platform for AI engineers and domain..

GitHub (👨‍💻 89 · 🔀 310 · 📦 2.5K · 📋 2K - 8% open · ⏱️ 03.06.2024):
```
git clone https://github.com/recognai/rubrix
```
PyPi (📥 500 / month · ⏱️ 24.10.2022): pip install rubrix
Conda (📥 31K · ⏱️ 16.06.2023): conda install -c conda-forge rubrix

(🥈32 · ⭐ 10K · 💤) - A framework for training and evaluating AI models on a variety of..

GitHub (👨‍💻 220 · 🔀 2.1K · 📦 240 · 📋 1.5K - 3% open · ⏱️ 03.11.2023):
```
git clone https://github.com/facebookresearch/ParlAI
```
PyPi (📥 2.5K / month · 📦 5 · ⏱️ 20.09.2022): pip install parlai

(🥈32 · ⭐ 3.7K) - Fixes mojibake and other glitches in Unicode text, after the fact.

GitHub (👨‍💻 18 · 🔀 120 · 📦 20K · 📋 140 - 13% open · ⏱️ 15.03.2024):
```
git clone https://github.com/rspeer/python-ftfy
```
PyPi (📥 5.1M / month · 📦 500 · ⏱️ 15.03.2024): pip install ftfy
Conda (📥 290K · ⏱️ 22.11.2023): conda install -c conda-forge ftfy

(🥈31 · ⭐ 6.6K) - An open source library for deep learning end-to-end dialog..

GitHub (👨‍💻 77 · 🔀 1.1K · 📦 390 · 📋 640 - 3% open · ⏱️ 13.03.2024):
```
git clone https://github.com/deepmipt/DeepPavlov
```
PyPi (📥 10K / month · 📦 4 · ⏱️ 13.03.2024): pip install deeppavlov

(🥈30 · ⭐ 3.3K) - Compute distance between sequences. 30+ algorithms, pure python..

GitHub (👨‍💻 15 · 🔀 240 · 📥 1K · 📦 6.4K · ⏱️ 24.04.2024):
```
git clone https://github.com/life4/textdistance
```
PyPi (📥 810K / month · 📦 93 · ⏱️ 24.04.2024): pip install textdistance
Conda (📥 560K · ⏱️ 25.04.2024): conda install -c conda-forge textdistance

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GitHub (👨‍💻 22 · 🔀 160 · 📦 1.7K · ⏱️ 05.06.2024):
```
git clone https://github.com/explosion/spacy-transformers
```
PyPi (📥 280K / month · 📦 51 · ⏱️ 25.04.2024): pip install spacy-transformers
Conda (📥 37K · ⏱️ 19.12.2023): conda install -c conda-forge spacy-transformers

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GitHub (👨‍💻 34 · 🔀 170 · 📦 5 · 📋 88 - 30% open · ⏱️ 02.05.2024):
```
git clone https://github.com/snowballstem/snowball
```
PyPi (📥 15M / month · 📦 410 · ⏱️ 16.11.2021): pip install snowballstemmer
Conda (📥 8.1M · ⏱️ 16.06.2023): conda install -c conda-forge snowballstemmer

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GitHub (👨‍💻 70 · 🔀 540 · 📦 330 · 📋 810 - 9% open · ⏱️ 19.12.2023):
```
git clone https://github.com/dedupeio/dedupe
```
PyPi (📥 67K / month · 📦 18 · ⏱️ 17.02.2023): pip install dedupe
Conda (📥 52K · ⏱️ 16.06.2023): conda install -c conda-forge dedupe

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GitHub (👨‍💻 32 · 🔀 520 · 📦 2.8K · 📋 120 - 17% open · ⏱️ 16.05.2024):
```
git clone https://github.com/miso-belica/sumy
```
PyPi (📥 530K / month · 📦 27 · ⏱️ 23.10.2022): pip install sumy
Conda (📥 8.1K · ⏱️ 16.06.2023): conda install -c conda-forge sumy

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GitHub (👨‍💻 33 · 🔀 220 · 📦 910 · 📋 310 - 10% open · ⏱️ 30.03.2024):
```
git clone https://github.com/allenai/scispacy
```
PyPi (📥 26K / month · 📦 34 · ⏱️ 08.03.2024): pip install scispacy

(🥈28 · ⭐ 820) - The Classical Language Toolkit.

GitHub (👨‍💻 120 · 🔀 320 · 📥 64 · 📦 260 · 📋 570 - 6% open · ⏱️ 12.05.2024):
```
git clone https://github.com/cltk/cltk
```
PyPi (📥 1.9K / month · 📦 15 · ⏱️ 12.05.2024): pip install cltk

(🥉27 · ⭐ 3.1K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and..

GitHub (👨‍💻 31 · 🔀 640 · 📦 21 · 📋 490 - 0% open · ⏱️ 03.06.2024):
```
git clone https://github.com/zjunlp/deepke
```
PyPi (📥 440 / month · ⏱️ 21.09.2023): pip install deepke

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GitHub (👨‍💻 48 · 🔀 1.1K · 📋 330 - 20% open · ⏱️ 12.10.2023):
```
git clone https://github.com/Ciphey/Ciphey
```
PyPi (📥 41K / month · ⏱️ 06.06.2021): pip install ciphey
Docker Hub (📥 24K · ⭐ 17 · ⏱️ 14.10.2023): docker pull remnux/ciphey

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GitHub (👨‍💻 14 · 🔀 280 · 📦 560 · 📋 100 - 21% open · ⏱️ 06.03.2024):
```
git clone https://github.com/JasonKessler/scattertext
```
PyPi (📥 12K / month · 📦 5 · ⏱️ 06.03.2024): pip install scattertext
Conda (📥 90K · ⏱️ 16.06.2023): conda install -c conda-forge scattertext

(🥉26 · ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase..

GitHub (👨‍💻 19 · 🔀 340 · 📦 660 · 📋 100 - 8% open · ⏱️ 21.05.2024):
```
git clone https://github.com/DerwenAI/pytextrank
```
PyPi (📥 42K / month · 📦 18 · ⏱️ 21.02.2024): pip install pytextrank

(🥉24 · ⭐ 2.5K · 💤) - Toolkit for creating, sharing and using natural language..

GitHub (👨‍💻 65 · 🔀 340 · 📦 96 · 📋 190 - 22% open · ⏱️ 23.10.2023):
```
git clone https://github.com/bigscience-workshop/promptsource
```
PyPi (📥 640 / month · 📦 4 · ⏱️ 18.04.2022): pip install promptsource

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GitHub (👨‍💻 18 · 🔀 250 · 📦 690 · 📋 69 - 27% open · ⏱️ 04.07.2023):
```
git clone https://github.com/PetrochukM/PyTorch-NLP
```
PyPi (📥 5.2K / month · 📦 19 · ⏱️ 04.11.2019): pip install pytorch-nlp

(🥉24 · ⭐ 870) - Trained models & code to predict toxic comments on all 3 Jigsaw..

GitHub (👨‍💻 12 · 🔀 110 · 📥 500K · 📦 600 · 📋 62 - 56% open · ⏱️ 16.05.2024):
```
git clone https://github.com/unitaryai/detoxify
```
PyPi (📥 30K / month · 📦 15 · ⏱️ 01.02.2024): pip install detoxify

(🥉23 · ⭐ 6K) - Code for the paper Exploring the Limits of Transfer Learning with a..

GitHub (👨‍💻 59 · 🔀 740 · 📋 450 - 23% open · ⏱️ 23.01.2024):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
PyPi (📥 38K / month · 📦 2 · ⏱️ 18.10.2021): pip install t5

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GitHub (👨‍💻 21 · 🔀 240 · 📥 120 · 📋 140 - 55% open · ⏱️ 29.08.2023):
```
git clone https://github.com/jbesomi/texthero
```
PyPi (📥 8.8K / month · 📦 6 · ⏱️ 01.07.2021): pip install texthero

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GitHub (👨‍💻 14 · 🔀 67 · 📦 260 · 📋 130 - 14% open · ⏱️ 19.03.2024):
```
git clone https://github.com/EricFillion/happy-transformer
```
PyPi (📥 2.5K / month · 📦 5 · ⏱️ 05.08.2023): pip install happytransformer

(🥉21 · ⭐ 1.8K) - Super easy library for BERT based NLP models.

GitHub (👨‍💻 36 · 🔀 340 · 📋 260 - 63% open · ⏱️ 30.01.2024):
```
git clone https://github.com/utterworks/fast-bert
```
PyPi (📥 790 / month · ⏱️ 30.01.2024): pip install fast-bert

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GitHub (👨‍💻 60 · 🔀 330 · 📥 18 · 📋 310 - 3% open · ⏱️ 22.05.2024):
```
git clone https://github.com/awslabs/sockeye
```
PyPi (📥 1K / month · ⏱️ 03.03.2023): pip install sockeye

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GitHub (👨‍💻 23 · 🔀 80 · 📦 11 · 📋 140 - 15% open · ⏱️ 27.03.2024):
```
git clone https://github.com/IndicoDataSolutions/finetune
```
PyPi (📥 150 / month · 📦 2 · ⏱️ 29.09.2023): pip install finetune

(🥉20 · ⭐ 930) - Pocket-Sized Multimodal AI for content understanding and..

GitHub (👨‍💻 14 · 🔀 56 · 📥 290 · 📦 6 · 📋 24 - 20% open · ⏱️ 25.04.2024):
```
git clone https://github.com/unum-cloud/uform
```
PyPi (📥 730 / month · 📦 1 · ⏱️ 25.04.2024): pip install uform

(🥉20 · ⭐ 520) - Active Learning for Text Classification in Python.

GitHub (👨‍💻 6 · 🔀 57 · 📦 28 · 📋 54 - 29% open · ⏱️ 29.12.2023):
```
git clone https://github.com/webis-de/small-text
```
PyPi (📥 720 / month · ⏱️ 29.12.2023): pip install small-text
Conda (📥 6.3K · ⏱️ 29.12.2023): conda install -c conda-forge small-text

(🥉18 · ⭐ 380 · 💤) - TextAugment: Text Augmentation Library.

GitHub (👨‍💻 8 · 🔀 59 · 📥 69 · 📦 99 · 📋 29 - 37% open · ⏱️ 17.11.2023):
```
git clone https://github.com/dsfsi/textaugment
```
PyPi (📥 5K / month · 📦 4 · ⏱️ 16.11.2023): pip install textaugment

(🥉17 · ⭐ 4.3K) - An Open-Source Package for Neural Relation Extraction (NRE).

GitHub (👨‍💻 13 · 🔀 1.1K · 📦 3 · 📋 370 - 4% open · ⏱️ 10.01.2024):
```
git clone https://github.com/thunlp/OpenNRE
```

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GitHub (👨‍💻 4 · 🔀 61 · 📦 9 · 📋 16 - 43% open · ⏱️ 21.04.2024):
```
git clone https://github.com/facebookresearch/vizseq
```
PyPi (📥 130 / month · ⏱️ 07.08.2020): pip install vizseq

Show 51 hidden projects…

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Image Data

Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification.

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GitHub (👨‍💻 470 · 🔀 2.1K · 📦 1.7M · 📋 3.1K - 3% open · ⏱️ 06.06.2024):
```
git clone https://github.com/python-pillow/Pillow
```
PyPi (📥 99M / month · 📦 4.2K · ⏱️ 01.04.2024): pip install Pillow
Conda (📥 40M · ⏱️ 03.04.2024): conda install -c conda-forge pillow

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GitHub (👨‍💻 600 · 🔀 6.9K · 📥 38K · 📦 21 · 📋 3.4K - 29% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/vision
```
PyPi (📥 13M / month · 📦 5K · ⏱️ 05.06.2024): pip install torchvision
Conda (📥 1.2M · ⏱️ 16.05.2024): conda install -c conda-forge torchvision

(🥇41 · ⭐ 30K) - The largest collection of PyTorch image encoders /..

GitHub (👨‍💻 140 · 🔀 4.6K · 📥 6.6M · 📦 30K · 📋 880 - 6% open · ⏱️ 27.05.2024):
```
git clone https://github.com/rwightman/pytorch-image-models
```
PyPi (📥 5.1M / month · 📦 760 · ⏱️ 15.05.2024): pip install timm
Conda (📥 160K · ⏱️ 16.05.2024): conda install -c conda-forge timm

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GitHub (👨‍💻 480 · 🔀 9.2K · 📦 2.6K · 📋 8.3K - 19% open · ⏱️ 05.02.2024):
```
git clone https://github.com/open-mmlab/mmdetection
```
PyPi (📥 260K / month · 📦 64 · ⏱️ 05.01.2024): pip install mmdet

(🥇38 · ⭐ 14K) - Fast and flexible image augmentation library. Paper about..

GitHub (👨‍💻 140 · 🔀 1.6K · 📦 24K · 📋 960 - 44% open · ⏱️ 06.06.2024):
```
git clone https://github.com/albumentations-team/albumentations
```
PyPi (📥 2.1M / month · 📦 510 · ⏱️ 28.05.2024): pip install albumentations
Conda (📥 170K · ⏱️ 05.03.2024): conda install -c conda-forge albumentations

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GitHub (👨‍💻 160 · 🔀 1.5K · 📦 40K · 📋 1.5K - 28% open · ⏱️ 27.05.2024):
```
git clone https://github.com/Zulko/moviepy
```
PyPi (📥 1.2M / month · 📦 820 · ⏱️ 15.12.2021): pip install moviepy
Conda (📥 250K · ⏱️ 16.06.2023): conda install -c conda-forge moviepy

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GitHub (👨‍💻 260 · 🔀 940 · 📥 1.1K · 📦 10K · 📋 910 - 29% open · ⏱️ 28.05.2024):
```
git clone https://github.com/kornia/kornia
```
PyPi (📥 1.4M / month · 📦 240 · ⏱️ 14.03.2024): pip install kornia
Conda (📥 130K · ⏱️ 20.02.2024): conda install -c conda-forge kornia

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```
git clone https://github.com/imageio/imageio
```
PyPi (📥 22M / month · 📦 2.2K · ⏱️ 22.04.2024): pip install imageio
Conda (📥 6.4M · ⏱️ 22.04.2024): conda install -c conda-forge imageio

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GitHub (👨‍💻 62 · 🔀 1.9K · 📦 3.3K · 📋 1K - 0% open · ⏱️ 06.06.2024):
```
git clone https://github.com/serengil/deepface
```
PyPi (📥 66K / month · 📦 36 · ⏱️ 02.05.2024): pip install deepface

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```
git clone https://github.com/deepinsight/insightface
```
PyPi (📥 360K / month · 📦 22 · ⏱️ 17.12.2022): pip install insightface

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GitHub (👨‍💻 48 · 🔀 800 · 📦 400K · 📋 780 - 14% open · ⏱️ 03.06.2024):
```
git clone https://github.com/opencv/opencv-python
```
PyPi (📥 15M / month · 📦 9.5K · ⏱️ 03.06.2024): pip install opencv-python

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GitHub (👨‍💻 270 · 🔀 7.3K · 📦 1.8K · 📋 3.5K - 13% open · ⏱️ 06.06.2024):
```
git clone https://github.com/facebookresearch/detectron2
```
PyPi (📦 11 · ⏱️ 06.02.2020): pip install detectron2
Conda (📥 280K · ⏱️ 19.05.2024): conda install -c conda-forge detectron2

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GitHub (👨‍💻 100 · 🔀 200 · 📥 47K · 📦 19K · 📋 420 - 6% open · ⏱️ 11.02.2024):
```
git clone https://github.com/emcconville/wand
```
PyPi (📥 870K / month · 📦 240 · ⏱️ 03.11.2023): pip install wand
Conda (📥 49K · ⏱️ 16.06.2023): conda install -c conda-forge wand

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GitHub (👨‍💻 19 · 🔀 2.2K · 📥 930K · 📦 1.6K · 📋 760 - 40% open · ⏱️ 20.02.2024):
```
git clone https://github.com/OlafenwaMoses/ImageAI
```
PyPi (📥 11K / month · 📦 19 · ⏱️ 02.01.2023): pip install imageai
Conda (📥 7.2K · ⏱️ 16.06.2023): conda install -c conda-forge imageai

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GitHub (👨‍💻 120 · 🔀 1.6K · 📦 1.2K · 📋 2.1K - 10% open · ⏱️ 20.05.2024):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
PyPi (📥 2.4K / month · 📦 7 · ⏱️ 30.11.2022): pip install paddleseg

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GitHub (👨‍💻 40 · 🔀 240 · 📦 260 · 📋 520 - 19% open · ⏱️ 05.06.2024):
```
git clone https://github.com/lightly-ai/lightly
```
PyPi (📥 32K / month · 📦 13 · ⏱️ 29.05.2024): pip install lightly

(🥈30 · ⭐ 18K) - Implementation of Vision Transformer, a simple way to achieve..

GitHub (👨‍💻 21 · 🔀 2.8K · 📦 480 · 📋 260 - 46% open · ⏱️ 11.05.2024):
```
git clone https://github.com/lucidrains/vit-pytorch
```
PyPi (📥 23K / month · 📦 11 · ⏱️ 11.05.2024): pip install vit-pytorch

(🥈30 · ⭐ 3.7K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis..

GitHub (👨‍💻 47 · 🔀 540 · 📥 25K · 📦 1.1K · ⏱️ 02.06.2024):
```
git clone https://github.com/obss/sahi
```
PyPi (📥 120K / month · 📦 25 · ⏱️ 20.05.2024): pip install sahi
Conda (📥 60K · ⏱️ 21.05.2024): conda install -c conda-forge sahi

(🥈30 · ⭐ 3K) - A Python Perceptual Image Hashing Module.

GitHub (👨‍💻 26 · 🔀 320 · 📦 13K · 📋 140 - 10% open · ⏱️ 26.05.2024):
```
git clone https://github.com/JohannesBuchner/imagehash
```
PyPi (📥 1.7M / month · 📦 220 · ⏱️ 28.09.2022): pip install ImageHash
Conda (📥 370K · ⏱️ 16.06.2023): conda install -c conda-forge imagehash

(🥈29 · ⭐ 3.2K) - docTR (Document Text Recognition) - a seamless, high-..

GitHub (👨‍💻 46 · 🔀 380 · 📥 3M · 📋 350 - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/mindee/doctr
```
PyPi (📥 30K / month · 📦 7 · ⏱️ 04.03.2024): pip install python-doctr

(🥈29 · ⭐ 830) - Computer Vision in Python.

GitHub (👨‍💻 35 · 🔀 150 · 📦 1.3K · 📋 89 - 22% open · ⏱️ 22.05.2024):
```
git clone https://github.com/luispedro/mahotas
```
PyPi (📥 15K / month · 📦 60 · ⏱️ 17.04.2024): pip install mahotas
Conda (📥 420K · ⏱️ 18.05.2024): conda install -c conda-forge mahotas

(🥉28 · ⭐ 6.9K · 💤) - 2D and 3D Face alignment library build using pytorch.

GitHub (👨‍💻 26 · 🔀 1.3K · 📦 21 · 📋 320 - 24% open · ⏱️ 16.08.2023):
```
git clone https://github.com/1adrianb/face-alignment
```
PyPi (📥 70K / month · 📦 9 · ⏱️ 17.08.2023): pip install face-alignment

(🥉28 · ⭐ 4.2K) - Pretrained Pytorch face detection (MTCNN) and facial..

GitHub (👨‍💻 17 · 🔀 920 · 📥 1M · 📦 1.8K · 📋 180 - 39% open · ⏱️ 05.04.2024):
```
git clone https://github.com/timesler/facenet-pytorch
```
PyPi (📥 63K / month · 📦 30 · ⏱️ 29.04.2024): pip install facenet-pytorch

(🥉27 · ⭐ 12K) - Object Detection toolkit based on PaddlePaddle. It..

GitHub (👨‍💻 160 · 🔀 2.8K · 📋 5.3K - 22% open · ⏱️ 22.05.2024):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
PyPi (📥 670 / month · 📦 2 · ⏱️ 19.09.2022): pip install paddledet

(🥉27 · ⭐ 3.2K · 💤) - A High-performance cross-platform Video Processing Python..

GitHub (👨‍💻 14 · 🔀 240 · 📥 1.4K · 📦 560 · 📋 280 - 3% open · ⏱️ 10.09.2023):
```
git clone https://github.com/abhiTronix/vidgear
```
PyPi (📥 16K / month · 📦 13 · ⏱️ 10.09.2023): pip install vidgear

(🥉27 · ⭐ 870) - An open-source application for biological image analysis.

GitHub (👨‍💻 140 · 🔀 370 · 📥 7K · 📦 20 · 📋 3.3K - 9% open · ⏱️ 01.05.2024):
```
git clone https://github.com/CellProfiler/CellProfiler
```
PyPi (📥 450 / month · 📦 2 · ⏱️ 14.08.2023): pip install cellprofiler

(🥉26 · ⭐ 3.2K) - A deep learning library for video understanding research.

GitHub (👨‍💻 55 · 🔀 390 · 📋 200 - 50% open · ⏱️ 03.03.2024):
```
git clone https://github.com/facebookresearch/pytorchvideo
```
PyPi (📥 67K / month · 📦 23 · ⏱️ 20.01.2022): pip install pytorchvideo

(🥉26 · ⭐ 2.3K) - Lightweight Python library for adding real-time multi-object tracking..

GitHub (👨‍💻 31 · 🔀 230 · 📥 310 · 📦 190 · 📋 160 - 10% open · ⏱️ 30.01.2024):
```
git clone https://github.com/tryolabs/norfair
```
PyPi (📥 18K / month · 📦 4 · ⏱️ 30.05.2022): pip install norfair

(🥉25 · ⭐ 2.8K) - FFCV: Fast Forward Computer Vision (and other ML workloads!).

GitHub (👨‍💻 31 · 🔀 170 · 📦 45 · 📋 270 - 34% open · ⏱️ 06.05.2024):
```
git clone https://github.com/libffcv/ffcv
```
PyPi (📥 1.2K / month · 📦 1 · ⏱️ 28.01.2022): pip install ffcv

(🥉25 · ⭐ 600) - python binding for libvips using cffi.

GitHub (👨‍💻 16 · 🔀 50 · 📦 730 · 📋 420 - 42% open · ⏱️ 28.04.2024):
```
git clone https://github.com/libvips/pyvips
```
PyPi (📥 46K / month · 📦 73 · ⏱️ 28.04.2024): pip install pyvips
Conda (📥 87K · ⏱️ 28.04.2024): conda install -c conda-forge pyvips

(🥉24 · ⭐ 5.4K) - A modular framework for vision & language multimodal research from..

GitHub (👨‍💻 120 · 🔀 920 · 📦 17 · 📋 690 - 21% open · ⏱️ 25.05.2024):
```
git clone https://github.com/facebookresearch/mmf
```
PyPi (📥 200 / month · 📦 1 · ⏱️ 12.06.2020): pip install mmf

(🥉24 · ⭐ 2.2K) - A data generation pipeline for creating semi-realistic synthetic..

GitHub (👨‍💻 30 · 🔀 210 · 📦 4 · 📋 190 - 32% open · ⏱️ 06.06.2024):
```
git clone https://github.com/google-research/kubric
```
PyPi (📥 2.3K / month · ⏱️ 27.12.2023): pip install kubric-nightly

(🥉23 · ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers..

GitHub (👨‍💻 39 · 🔀 360 · 📋 240 - 61% open · ⏱️ 13.03.2024):
```
git clone https://github.com/tensorflow/graphics
```
PyPi (📥 37K / month · 📦 11 · ⏱️ 03.12.2021): pip install tensorflow-graphics

(🥉21 · ⭐ 6.3K · 💤) - PySlowFast: video understanding codebase from FAIR for..

GitHub (👨‍💻 31 · 🔀 1.2K · 📦 16 · 📋 680 - 57% open · ⏱️ 19.10.2023):
```
git clone https://github.com/facebookresearch/SlowFast
```
PyPi (📥 24 / month · ⏱️ 15.01.2020): pip install pyslowfast

(🥉21 · ⭐ 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components..

GitHub (👨‍💻 38 · 🔀 330 · 📦 40 · 📋 190 - 43% open · ⏱️ 03.03.2024):
```
git clone https://github.com/facebookresearch/vissl
```
PyPi (📥 140 / month · 📦 1 · ⏱️ 02.11.2021): pip install vissl

(🥉20 · ⭐ 13K) - End-to-End Object Detection with Transformers.

GitHub (👨‍💻 27 · 🔀 2.3K · 📦 21 · 📋 540 - 47% open · ⏱️ 12.03.2024):
```
git clone https://github.com/facebookresearch/detr
```

(🥉20 · ⭐ 2.1K · 💤) - Codebase for Image Classification Research, written in PyTorch.

GitHub (👨‍💻 19 · 🔀 240 · 📦 18 · 📋 83 - 32% open · ⏱️ 26.08.2023):
```
git clone https://github.com/facebookresearch/pycls
```
PyPi (📥 1.3K / month · ⏱️ 05.09.2020): pip install pycls

(🥉18 · ⭐ 3.1K) - Scenic: A Jax Library for Computer Vision Research and Beyond.

GitHub (👨‍💻 81 · 🔀 410 · 📋 260 - 56% open · ⏱️ 22.05.2024):
```
git clone https://github.com/google-research/scenic
```

Show 26 hidden projects…

(🥇42 · ⭐ 5.9K) - Image processing in Python. ❗Unlicensed

(🥈37 · ⭐ 14K · 💀) - Image augmentation for machine learning experiments.

(🥈37 · ⭐ 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.

(🥈33 · ⭐ 52K · 💀) - The worlds simplest facial recognition api for Python..

(🥈33 · ⭐ 8.4K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed

(🥈31 · ⭐ 4.5K · 💀) - A series of convenience functions to make basic image processing..

(🥈29 · ⭐ 5.8K · 💀) - Gluon CV Toolkit.

(🥉28 · ⭐ 2.1K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP..

(🥉27 · ⭐ 4.6K · 💀) - A Unified Toolkit for Deep Learning Based Document Image..

(🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision.

(🥉26 · ⭐ 5K · 💀) - Image augmentation library in Python for machine learning.

(🥉25 · ⭐ 5K · 💀) - Finding duplicate images made easy!.

(🥉25 · ⭐ 2.1K · 💤) - The friendly PIL fork.

(🥉24 · ⭐ 4.6K · 💀) - Segmentation models with pretrained backbones. Keras..

(🥉23 · ⭐ 4.5K · 💀) - Super-scale your images and run experiments with..

(🥉23 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision.

(🥉22 · ⭐ 4.4K · 💀) - Simple command line tool for text to image generation using..

(🥉22 · ⭐ 840 · 💀) - An Agnostic Computer Vision Framework - Pluggable to any..

(🥉21 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video..

(🥉20 · ⭐ 920 · 💀) - Nudity detection with Python.

(🥉20 · ⭐ 610 · 💀) - Build fully-functioning computer vision models with PyTorch.

(🥉19 · ⭐ 2.9K · 💀) - Quickly search over billions of images.

(🥉18 · ⭐ 260 · 💀) - Streaming over lightweight data transformations.

(🥉17 · ⭐ 750 · 💀) - A lightweight Computer Vision library. Scale your models, not boilerplate.

(🥉16 · ⭐ 200 · 💀) - Pytorch framework for doing deep learning on point..

(🥉15 · ⭐ 190 · 💀) - HugsVision is a easy to use huggingface wrapper for state-of-.. huggingface

Graph Data

Libraries for graph processing, clustering, embedding, and machine learning tasks.

(🥇44 · ⭐ 14K) - Network Analysis in Python.

GitHub (👨‍💻 720 · 🔀 3.2K · 📥 71 · 📦 260K · 📋 3.3K - 10% open · ⏱️ 04.06.2024):
```
git clone https://github.com/networkx/networkx
```
PyPi (📥 55M / month · 📦 8.5K · ⏱️ 06.04.2024): pip install networkx
Conda (📥 16M · ⏱️ 08.04.2024): conda install -c conda-forge networkx

(🥇38 · ⭐ 20K) - Graph Neural Network Library for PyTorch.

GitHub (👨‍💻 500 · 🔀 3.6K · 📋 3.6K - 27% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
PyPi (📥 330K / month · 📦 250 · ⏱️ 19.04.2024): pip install torch-geometric
Conda (📥 43K · ⏱️ 04.05.2024): conda install -c conda-forge pytorch_geometric

(🥇38 · ⭐ 13K) - Python package built to ease deep learning on graph, on top of existing DL..

GitHub (👨‍💻 290 · 🔀 3K · 📦 250 · 📋 2.8K - 18% open · ⏱️ 06.06.2024):
```
git clone https://github.com/dmlc/dgl
```
PyPi (📥 110K / month · 📦 130 · ⏱️ 13.05.2024): pip install dgl

(🥈29 · ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2.

GitHub (👨‍💻 27 · 🔀 340 · 📦 300 · 📋 280 - 24% open · ⏱️ 21.01.2024):
```
git clone https://github.com/danielegrattarola/spektral
```
PyPi (📥 9.8K / month · 📦 7 · ⏱️ 21.01.2024): pip install spektral

(🥈29 · ⭐ 2.1K · 📈) - PyGraphistry is a Python library to quickly load,..

GitHub (👨‍💻 42 · 🔀 200 · 📦 110 · 📋 320 - 51% open · ⏱️ 30.04.2024):
```
git clone https://github.com/graphistry/pygraphistry
```
PyPi (📥 3.8K / month · 📦 6 · ⏱️ 30.04.2024): pip install graphistry

(🥈28 · ⭐ 2.1K) - Python library for Representation Learning on Knowledge..

GitHub (👨‍💻 21 · 🔀 250 · 📦 50 · 📋 220 - 15% open · ⏱️ 28.02.2024):
```
git clone https://github.com/Accenture/AmpliGraph
```
PyPi (📥 1.4K / month · 📦 1 · ⏱️ 26.02.2024): pip install ampligraph

(🥈28 · ⭐ 1.9K) - Benchmark datasets, data loaders, and evaluators for graph machine learning.

GitHub (👨‍💻 32 · 🔀 400 · 📦 1.7K · 📋 290 - 6% open · ⏱️ 01.02.2024):
```
git clone https://github.com/snap-stanford/ogb
```
PyPi (📥 36K / month · 📦 22 · ⏱️ 02.11.2022): pip install ogb
Conda (📥 32K · ⏱️ 16.06.2023): conda install -c conda-forge ogb

(🥈26 · ⭐ 1.6K) - A Python library for learning and evaluating knowledge graph embeddings.

GitHub (👨‍💻 39 · 🔀 180 · 📥 180 · 📋 570 - 20% open · ⏱️ 31.05.2024):
```
git clone https://github.com/pykeen/pykeen
```
PyPi (📥 6.6K / month · 📦 6 · ⏱️ 19.02.2024): pip install pykeen

(🥈25 · ⭐ 2.5K · 💤) - PyTorch Geometric Temporal: Spatiotemporal Signal..

GitHub (👨‍💻 28 · 🔀 360 · 📋 190 - 15% open · ⏱️ 01.07.2023):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
PyPi (📥 1.8K / month · 📦 3 · ⏱️ 04.09.2022): pip install torch-geometric-temporal

(🥈25 · ⭐ 1.6K · 💤) - Paddle Graph Learning (PGL) is an efficient and..

GitHub (👨‍💻 31 · 🔀 310 · 📦 56 · 📋 210 - 26% open · ⏱️ 26.09.2023):
```
git clone https://github.com/PaddlePaddle/PGL
```
PyPi (📥 930 / month · 📦 1 · ⏱️ 26.09.2023): pip install pgl

(🥈24 · ⭐ 3.4K) - Generate embeddings from large-scale graph-structured..

GitHub (👨‍💻 32 · 🔀 440 · 📥 180 · 📋 200 - 32% open · ⏱️ 03.03.2024):
```
git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
PyPi (📥 560K / month · 📦 2 · ⏱️ 14.10.2019): pip install torchbiggraph

(🥈24 · ⭐ 1.2K) - Implementation of the node2vec algorithm.

GitHub (👨‍💻 15 · 🔀 230 · 📦 620 · 📋 92 - 5% open · ⏱️ 05.05.2024):
```
git clone https://github.com/eliorc/node2vec
```
PyPi (📥 25K / month · 📦 27 · ⏱️ 01.08.2022): pip install node2vec
Conda (📥 28K · ⏱️ 16.06.2023): conda install -c conda-forge node2vec

(🥉22 · ⭐ 770) - PyTorch Extension Library of Optimized Graph Cluster..

GitHub (👨‍💻 34 · 🔀 140 · 📋 160 - 17% open · ⏱️ 29.04.2024):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
PyPi (📥 14K / month · 📦 51 · ⏱️ 12.10.2023): pip install torch-cluster
Conda (📥 120K · ⏱️ 17.05.2024): conda install -c conda-forge pytorch_cluster

(🥉20 · ⭐ 530 · 💤) - Python library assists deep learning on graphs.

GitHub (👨‍💻 18 · 🔀 57 · 📥 10 · 📦 100 · 📋 50 - 50% open · ⏱️ 11.11.2023):
```
git clone https://github.com/snap-stanford/deepsnap
```
PyPi (📥 380 / month · 📦 2 · ⏱️ 05.09.2021): pip install deepsnap

(🥉18 · ⭐ 420 · 💤) - semantic similarity framework for knowledge graph.

GitHub (👨‍💻 10 · 🔀 100 · 📦 46 · 📋 34 - 44% open · ⏱️ 07.11.2023):
```
git clone https://github.com/gsi-upm/sematch
```
PyPi (📥 220 / month · ⏱️ 17.04.2017): pip install sematch

(🥉16 · ⭐ 550 · 💤) - TypeDB-ML is the Machine Learning integrations library for TypeDB.

GitHub (👨‍💻 12 · 🔀 98 · 📥 220 · 📋 63 - 19% open · ⏱️ 18.11.2023):
```
git clone https://github.com/vaticle/kglib
```
PyPi (📥 77 / month · ⏱️ 19.08.2020): pip install grakn-kglib

(🥉15 · ⭐ 1.1K) - An autoML framework & toolkit for machine learning on graphs.

GitHub (👨‍💻 15 · 🔀 120 · 📋 39 - 35% open · ⏱️ 05.02.2024):
```
git clone https://github.com/THUMNLab/AutoGL
```
PyPi (⏱️ 23.12.2020): pip install auto-graph-learning

(🥉14 · ⭐ 1.7K) - An Open-Source Package for Network Embedding (NE).

GitHub (👨‍💻 12 · 🔀 490 · 📋 110 - 9% open · ⏱️ 10.01.2024):
```
git clone https://github.com/thunlp/OpenNE
```

Show 18 hidden projects…

(🥇33 · ⭐ 1.3K) - Python interface for igraph.

(🥈29 · ⭐ 2.9K · 💀) - StellarGraph - Machine Learning on Graphs.

(🥈26 · ⭐ 2.6K) - PYthon svg GrAph plotting Library.

(🥉23 · ⭐ 2.1K) - Karate Club: An API Oriented Open-source Python Framework for..

(🥉22 · ⭐ 1.3K · 💀) - A Graph Neural Network Library in Jax.

(🥉21 · ⭐ 5.3K · 💀) - Build Graph Nets in Tensorflow.

(🥉21 · ⭐ 1.8K) - A library for graph deep learning research.

(🥉21 · ⭐ 1.7K · 💀) - Graph4nlp is the library for the easy use of Graph..

(🥉21 · ⭐ 240 · 💤) - Python Implementation and Extension of RDF2Vec.

(🥉20 · ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs.

(🥉19 · ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:.

(🥉18 · ⭐ 1.6K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN).

(🥉16 · ⭐ 3.6K · 💀) - Implementation and experiments of graph embedding..

(🥉15 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework.

(🥉14 · ⭐ 3.3K · 💀) - Representation learning on large graphs using stochastic..

(🥉14 · ⭐ 1.2K · 💀) - GraphVite: A General and High-performance Graph Embedding..

(🥉14 · ⭐ 370 · 💀) - A PyTorch Graph Neural Network Library.

(🥉13 · ⭐ 3.7K) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed

Audio Data

Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks.

(🥇38 · ⭐ 8.1K) - A PyTorch-based Speech Toolkit.

GitHub (👨‍💻 240 · 🔀 1.3K · 📦 1.9K · 📋 1.1K - 12% open · ⏱️ 06.06.2024):
```
git clone https://github.com/speechbrain/speechbrain
```
PyPi (📥 2.3M / month · 📦 31 · ⏱️ 26.02.2024): pip install speechbrain

(🥇37 · ⭐ 8K) - End-to-End Speech Processing Toolkit.

GitHub (👨‍💻 430 · 🔀 2.1K · 📥 79 · 📦 340 · 📋 2.4K - 13% open · ⏱️ 04.06.2024):
```
git clone https://github.com/espnet/espnet
```
PyPi (📥 34K / month · 📦 12 · ⏱️ 06.02.2024): pip install espnet

(🥇36 · ⭐ 8.1K) - Speech recognition module for Python, supporting several..

GitHub (👨‍💻 50 · 🔀 2.4K · 📦 21 · 📋 640 - 50% open · ⏱️ 05.05.2024):
```
git clone https://github.com/Uberi/speech_recognition
```
PyPi (📥 930K / month · 📦 500 · ⏱️ 05.05.2024): pip install SpeechRecognition
Conda (📥 190K · ⏱️ 06.05.2024): conda install -c conda-forge speechrecognition

(🥈35 · ⭐ 31K) - - a deep learning toolkit for Text-to-Speech, battle-..

GitHub (👨‍💻 160 · 🔀 3.6K · 📥 2.2M · 📦 1.3K · 📋 1K - 8% open · ⏱️ 10.02.2024):
```
git clone https://github.com/coqui-ai/TTS
```
PyPi (📥 120K / month · 📦 46 · ⏱️ 12.12.2023): pip install tts
Conda (📥 12K · ⏱️ 16.06.2023): conda install -c conda-forge tts

(🥈35 · ⭐ 2.4K) - Data manipulation and transformation for audio signal..

GitHub (👨‍💻 220 · 🔀 630 · 📋 950 - 24% open · ⏱️ 14.05.2024):
```
git clone https://github.com/pytorch/audio
```
PyPi (📥 4.9M / month · 📦 1.1K · ⏱️ 05.06.2024): pip install torchaudio

(🥈34 · ⭐ 6.8K) - Python library for audio and music analysis.

GitHub (👨‍💻 120 · 🔀 930 · 📋 1.2K - 4% open · ⏱️ 03.06.2024):
```
git clone https://github.com/librosa/librosa
```
PyPi (📥 2.8M / month · 📦 1.2K · ⏱️ 14.05.2024): pip install librosa
Conda (📥 750K · ⏱️ 15.05.2024): conda install -c conda-forge librosa

(🥈32 · ⭐ 19K · 💤) - Magenta: Music and Art Generation with Machine Intelligence.

GitHub (👨‍💻 160 · 🔀 3.7K · 📦 510 · 📋 1K - 41% open · ⏱️ 11.07.2023):
```
git clone https://github.com/magenta/magenta
```
PyPi (📥 4.4K / month · 📦 5 · ⏱️ 01.08.2022): pip install magenta

(🥈30 · ⭐ 25K · 💤) - Deezer source separation library including pretrained models.

GitHub (👨‍💻 19 · 🔀 2.7K · 📥 3.2M · 📦 720 · 📋 790 - 29% open · ⏱️ 13.07.2023):
```
git clone https://github.com/deezer/spleeter
```
PyPi (📥 15K / month · 📦 6 · ⏱️ 10.06.2022): pip install spleeter
Conda (📥 83K · ⏱️ 16.06.2023): conda install -c conda-forge spleeter

(🥈29 · ⭐ 3.5K) - On-device wake word detection powered by deep learning.

GitHub (👨‍💻 37 · 🔀 470 · 📦 28 · 📋 540 - 1% open · ⏱️ 18.04.2024):
```
git clone https://github.com/Picovoice/Porcupine
```
PyPi (📥 8K / month · 📦 15 · ⏱️ 30.01.2024): pip install pvporcupine

(🥈29 · ⭐ 1.7K) - A Python library for audio data augmentation. Inspired by..

GitHub (👨‍💻 29 · 🔀 180 · 📦 490 · 📋 180 - 26% open · ⏱️ 29.04.2024):
```
git clone https://github.com/iver56/audiomentations
```
PyPi (📥 21K / month · 📦 13 · ⏱️ 15.03.2024): pip install audiomentations

(🥈29 · ⭐ 480) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding..

GitHub (👨‍💻 25 · 🔀 110 · 📦 21K · 📋 94 - 39% open · ⏱️ 15.12.2023):
```
git clone https://github.com/beetbox/audioread
```
PyPi (📥 1.9M / month · 📦 120 · ⏱️ 27.09.2023): pip install audioread
Conda (📥 780K · ⏱️ 30.09.2023): conda install -c conda-forge audioread

(🥉28 · ⭐ 5.7K · 💤) - Python Audio Analysis Library: Feature Extraction,..

GitHub (👨‍💻 28 · 🔀 1.2K · 📦 460 · 📋 320 - 61% open · ⏱️ 22.10.2023):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
PyPi (📥 21K / month · 📦 12 · ⏱️ 07.02.2022): pip install pyAudioAnalysis

(🥉26 · ⭐ 1.3K · 💤) - Python audio and music signal processing library.

GitHub (👨‍💻 20 · 🔀 200 · 📦 420 · 📋 280 - 23% open · ⏱️ 10.09.2023):
```
git clone https://github.com/CPJKU/madmom
```
PyPi (📥 1.9K / month · 📦 27 · ⏱️ 14.11.2018): pip install madmom

(🥉25 · ⭐ 2.8K · 💤) - DDSP: Differentiable Digital Signal Processing.

GitHub (👨‍💻 32 · 🔀 320 · 📦 54 · 📋 170 - 28% open · ⏱️ 30.06.2023):
```
git clone https://github.com/magenta/ddsp
```
PyPi (📥 1.5K / month · 📦 1 · ⏱️ 25.05.2022): pip install ddsp
Conda (📥 16K · ⏱️ 16.06.2023): conda install -c conda-forge ddsp

(🥉25 · ⭐ 670) - Python library for reading audio file metadata, duration of MP3, OGG,..

GitHub (👨‍💻 27 · 🔀 100 · 📋 120 - 12% open · ⏱️ 05.06.2024):
```
git clone https://github.com/devsnd/tinytag
```
PyPi (📥 25K / month · 📦 100 · ⏱️ 26.10.2023): pip install tinytag

(🥉25 · ⭐ 670) - SoundFile is an audio library based on libsndfile, CFFI, and..

GitHub (👨‍💻 33 · 🔀 100 · 📥 19K · 📋 250 - 46% open · ⏱️ 05.01.2024):
```
git clone https://github.com/bastibe/python-soundfile
```
PyPi (📥 3.2M / month · 📦 620 · ⏱️ 15.02.2023): pip install soundfile
Conda: conda install -c anaconda pysoundfile

(🥉22 · ⭐ 970) - Audio processing by using pytorch 1D convolution network.

GitHub (👨‍💻 15 · 🔀 90 · 📦 180 · 📋 62 - 29% open · ⏱️ 13.02.2024):
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
PyPi (📥 11K / month · 📦 4 · ⏱️ 13.02.2024): pip install nnAudio

(🥉10 · ⭐ 510 · 💤) - Library for Textless Spoken Language Processing.

GitHub (👨‍💻 8 · 🔀 51 · 📋 25 - 56% open · ⏱️ 29.08.2023):
```
git clone https://github.com/facebookresearch/textlesslib
```

Show 11 hidden projects…

(🥈35 · ⭐ 8.5K · 💀) - Manipulate audio with a simple and easy high level interface.

(🥈33 · ⭐ 25K · 💀) - DeepSpeech is an open source embedded (offline, on-..

(🥉28 · ⭐ 3.2K) - a library for audio and music analysis.

(🥉28 · ⭐ 2.7K) - C++ library for audio and music analysis, description and..

(🥉26 · ⭐ 8.9K · 💀) - Deep learning for Text to Speech (Discussion forum:..

(🥉24 · ⭐ 2.3K · 💀) - This library provides common speech features for ASR..

(🥉23 · ⭐ 6.3K · 💀) - Audio fingerprinting and recognition in Python.

(🥉23 · ⭐ 920 · 💀) - kapre: Keras Audio Preprocessors.

(🥉21 · ⭐ 410 · 💀) - Fast PyTorch based DSP for audio and 1D signals.

(🥉20 · ⭐ 370 · 💀) - scalable audio processing framework and server written in..

(🥉17 · ⭐ 230 · 💀) - A library for augmenting annotated audio data.

Geospatial Data

Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding.

(🥇43 · ⭐ 12K) - WebGL2 powered visualization framework.

GitHub (👨‍💻 260 · 🔀 2K · 📦 7.7K · 📋 3K - 10% open · ⏱️ 04.06.2024):
```
git clone https://github.com/visgl/deck.gl
```
PyPi (📥 3.7M / month · 📦 88 · ⏱️ 10.05.2024): pip install pydeck
Conda (📥 530K · ⏱️ 16.06.2023): conda install -c conda-forge pydeck
npm (📥 460K / month · 📦 290 · ⏱️ 29.05.2024): npm install deck.gl

(🥇40 · ⭐ 6.7K) - Python Data. Leaflet.js Maps.

GitHub (👨‍💻 170 · 🔀 2.2K · 📦 38K · 📋 1.1K - 7% open · ⏱️ 03.06.2024):
```
git clone https://github.com/python-visualization/folium
```
PyPi (📥 1.2M / month · 📦 660 · ⏱️ 29.02.2024): pip install folium
Conda (📥 2.8M · ⏱️ 29.02.2024): conda install -c conda-forge folium

(🥇40 · ⭐ 4.3K) - Python tools for geographic data.

GitHub (👨‍💻 220 · 🔀 900 · 📥 2.5K · 📦 36K · 📋 1.7K - 26% open · ⏱️ 04.06.2024):
```
git clone https://github.com/geopandas/geopandas
```
PyPi (📥 6.1M / month · 📦 2.5K · ⏱️ 28.04.2024): pip install geopandas
Conda (📥 3.7M · ⏱️ 28.04.2024): conda install -c conda-forge geopandas

(🥈39 · ⭐ 3.7K) - Manipulation and analysis of geometric objects.

GitHub (👨‍💻 150 · 🔀 560 · 📥 3.3K · 📦 71K · 📋 1.2K - 22% open · ⏱️ 14.05.2024):
```
git clone https://github.com/shapely/shapely
```
PyPi (📥 27M / month · 📦 2.5K · ⏱️ 16.04.2024): pip install shapely
Conda (📥 9.4M · ⏱️ 16.05.2024): conda install -c conda-forge shapely

(🥈37 · ⭐ 2.2K) - Rasterio reads and writes geospatial raster datasets.

GitHub (👨‍💻 160 · 🔀 520 · 📥 860 · 📦 12K · 📋 1.8K - 8% open · ⏱️ 10.05.2024):
```
git clone https://github.com/rasterio/rasterio
```
PyPi (📥 2.8M / month · 📦 1.3K · ⏱️ 16.04.2024): pip install rasterio
Conda (📥 3M · ⏱️ 06.06.2024): conda install -c conda-forge rasterio

(🥈37 · ⭐ 1.1K) - Fiona reads and writes geographic data files.

GitHub (👨‍💻 74 · 🔀 200 · 📦 20K · 📋 790 - 4% open · ⏱️ 20.05.2024):
```
git clone https://github.com/Toblerity/Fiona
```
PyPi (📥 6.1M / month · 📦 190 · ⏱️ 16.04.2024): pip install fiona
Conda (📥 5.6M · ⏱️ 21.05.2024): conda install -c conda-forge fiona

(🥈35 · ⭐ 1K) - Python interface to PROJ (cartographic projections and coordinate..

GitHub (👨‍💻 65 · 🔀 210 · 📦 31K · 📋 610 - 5% open · ⏱️ 02.06.2024):
```
git clone https://github.com/pyproj4/pyproj
```
PyPi (📥 8.5M / month · 📦 1.5K · ⏱️ 21.09.2023): pip install pyproj
Conda (📥 7.7M · ⏱️ 01.05.2024): conda install -c conda-forge pyproj

(🥈34 · ⭐ 1.8K) - Documentation and samples for ArcGIS API for Python.

GitHub (👨‍💻 91 · 🔀 1.1K · 📥 11K · 📦 760 · 📋 730 - 9% open · ⏱️ 22.05.2024):
```
git clone https://github.com/Esri/arcgis-python-api
```
PyPi (📥 68K / month · 📦 36 · ⏱️ 28.05.2024): pip install arcgis
Docker Hub: docker pull esridocker/arcgis-api-python-notebook

(🥈34 · ⭐ 1.5K) - A Jupyter - Leaflet.js bridge.

GitHub (👨‍💻 88 · 🔀 360 · 📦 9.2K · 📋 630 - 43% open · ⏱️ 29.05.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
PyPi (📥 140K / month · 📦 250 · ⏱️ 14.05.2024): pip install ipyleaflet
Conda (📥 1.2M · ⏱️ 14.05.2024): conda install -c conda-forge ipyleaflet
npm (📥 11K / month · 📦 9 · ⏱️ 13.05.2024): npm install jupyter-leaflet

(🥉32 · ⭐ 4.3K · 💤) - Geocoding library for Python.

GitHub (👨‍💻 130 · 🔀 630 · 📥 48 · 📋 290 - 13% open · ⏱️ 23.11.2023):
```
git clone https://github.com/geopy/geopy
```
PyPi (📥 5.2M / month · 📦 790 · ⏱️ 23.11.2023): pip install geopy
Conda (📥 1.3M · ⏱️ 28.02.2024): conda install -c conda-forge geopy

(🥉30 · ⭐ 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package.

GitHub (👨‍💻 78 · 🔀 280 · 📦 1.5K · 📋 630 - 3% open · ⏱️ 15.03.2024):
```
git clone https://github.com/pysal/pysal
```
PyPi (📥 29K / month · 📦 39 · ⏱️ 31.01.2024): pip install pysal
Conda (📥 550K · ⏱️ 04.10.2023): conda install -c conda-forge pysal

(🥉29 · ⭐ 890) - Python bindings and utilities for GeoJSON.

GitHub (👨‍💻 56 · 🔀 120 · 📦 17K · 📋 100 - 26% open · ⏱️ 25.03.2024):
```
git clone https://github.com/jazzband/geojson
```
PyPi (📥 1.7M / month · 📦 660 · ⏱️ 05.11.2023): pip install geojson
Conda (📥 810K · ⏱️ 06.11.2023): conda install -c conda-forge geojson

(🥉29 · ⭐ 570) - Simple, concise geographical visualization in Python.

GitHub (👨‍💻 32 · 🔀 75 · 📦 1K · 📋 340 - 31% open · ⏱️ 03.06.2024):
```
git clone https://github.com/holoviz/geoviews
```
PyPi (📥 13K / month · 📦 56 · ⏱️ 05.04.2024): pip install geoviews
Conda (📥 220K · ⏱️ 05.04.2024): conda install -c conda-forge geoviews

(🥉27 · ⭐ 480 · 💤) - A package built to support working with spatial data using open..

GitHub (👨‍💻 44 · 🔀 150 · 📦 330 · 📋 230 - 11% open · ⏱️ 23.08.2023):
```
git clone https://github.com/earthlab/earthpy
```
PyPi (📥 9.7K / month · 📦 17 · ⏱️ 01.10.2021): pip install earthpy
Conda (📥 77K · ⏱️ 16.06.2023): conda install -c conda-forge earthpy

(🥉25 · ⭐ 370) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef..

GitHub (👨‍💻 18 · 🔀 85 · 📦 410 · 📋 56 - 12% open · ⏱️ 11.02.2024):
```
git clone https://github.com/geospace-code/pymap3d
```
PyPi (📥 140K / month · 📦 43 · ⏱️ 11.02.2024): pip install pymap3d
Conda (📥 72K · ⏱️ 11.02.2024): conda install -c conda-forge pymap3d

Show 7 hidden projects…

(🥉33 · ⭐ 1.6K · 💀) - Python Geocoder.

(🥉32 · ⭐ 1K) - Python package for earth-observing satellite data processing.

(🥉26 · ⭐ 960) - Search and download Copernicus Sentinel satellite images.

(🥉24 · ⭐ 660 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook.

(🥉23 · ⭐ 11K · 💀) - A small set of Python functions to draw pretty maps from..

(🥉23 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks.

(🥉21 · ⭐ 1K · 💀) - python toolbox for visualizing geographical data and making maps.

Financial Data

Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data.

(🥇40 · ⭐ 12K) - Download market data from Yahoo! Finances API.

GitHub (👨‍💻 110 · 🔀 2.2K · 📦 39K · 📋 1.3K - 12% open · ⏱️ 04.06.2024):
```
git clone https://github.com/ranaroussi/yfinance
```
PyPi (📥 1.7M / month · 📦 560 · ⏱️ 19.05.2024): pip install yfinance
Conda (📥 91K · ⏱️ 16.06.2023): conda install -c ranaroussi yfinance

(🥇31 · ⭐ 14K) - Qlib is an AI-oriented quantitative investment platform that aims to..

GitHub (👨‍💻 130 · 🔀 2.5K · 📥 580 · 📦 21 · 📋 910 - 24% open · ⏱️ 06.06.2024):
```
git clone https://github.com/microsoft/qlib
```
PyPi (📥 3.9K / month · 📦 1 · ⏱️ 24.05.2024): pip install pyqlib

(🥈30 · ⭐ 4.1K · 💤) - Technical Analysis Library using Pandas and Numpy.

GitHub (👨‍💻 34 · 🔀 840 · 📦 3.5K · 📋 240 - 56% open · ⏱️ 02.11.2023):
```
git clone https://github.com/bukosabino/ta
```
PyPi (📥 130K / month · 📦 89 · ⏱️ 02.11.2023): pip install ta
Conda (📥 26K · ⏱️ 02.11.2023): conda install -c conda-forge ta

(🥈29 · ⭐ 1.8K) - ffn - a financial function library for Python.

GitHub (👨‍💻 33 · 🔀 280 · 📦 460 · 📋 120 - 17% open · ⏱️ 09.05.2024):
```
git clone https://github.com/pmorissette/ffn
```
PyPi (📥 150K / month · 📦 16 · ⏱️ 31.12.2023): pip install ffn
Conda (📥 7.6K · ⏱️ 31.12.2023): conda install -c conda-forge ffn

(🥈28 · ⭐ 4.2K) - A python wrapper for Alpha Vantage API for financial data.

GitHub (👨‍💻 43 · 🔀 720 · 📦 580 · 📋 290 - 2% open · ⏱️ 19.03.2024):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
PyPi (📥 47K / month · 📦 33 · ⏱️ 21.12.2020): pip install alpha_vantage
Conda (📥 6.8K · ⏱️ 16.06.2023): conda install -c conda-forge alpha_vantage

(🥈27 · ⭐ 4.4K) - An open source reinforcement learning framework for training,..

GitHub (👨‍💻 61 · 🔀 980 · 📦 56 · 📋 250 - 20% open · ⏱️ 27.05.2024):
```
git clone https://github.com/tensortrade-org/tensortrade
```
PyPi (📥 790 / month · 📦 1 · ⏱️ 10.05.2021): pip install tensortrade
Conda (📥 3.5K · ⏱️ 16.06.2023): conda install -c conda-forge tensortrade

(🥈27 · ⭐ 2.1K) - bt - flexible backtesting for Python.

GitHub (👨‍💻 32 · 🔀 400 · 📦 1.6K · 📋 340 - 23% open · ⏱️ 04.04.2024):
```
git clone https://github.com/pmorissette/bt
```
PyPi (📥 7.1K / month · 📦 10 · ⏱️ 20.11.2023): pip install bt
Conda (📥 25K · ⏱️ 20.11.2023): conda install -c conda-forge bt

(🥉25 · ⭐ 2.7K) - Python sync/async framework for Interactive Brokers API.

GitHub (👨‍💻 36 · 🔀 700 · 📋 590 - 3% open · ⏱️ 14.03.2024):
```
git clone https://github.com/erdewit/ib_insync
```
PyPi (📥 33K / month · 📦 40 · ⏱️ 21.11.2022): pip install ib_insync
Conda (📥 41K · ⏱️ 16.06.2023): conda install -c conda-forge ib-insync

(🥉25 · ⭐ 1.2K) - Supply a wrapper StockDataFrame based on the..

GitHub (👨‍💻 10 · 🔀 300 · 📦 1.1K · 📋 120 - 12% open · ⏱️ 05.01.2024):
```
git clone https://github.com/jealous/stockstats
```
PyPi (📥 10K / month · 📦 11 · ⏱️ 30.07.2023): pip install stockstats

(🥉23 · ⭐ 3.4K) - Python library for backtesting trading strategies & analyzing..

GitHub (👨‍💻 14 · 🔀 490 · 📥 51 · 📦 13 · 📋 28 - 85% open · ⏱️ 19.05.2024):
```
git clone https://github.com/cuemacro/finmarketpy
```
PyPi (📥 360 / month · ⏱️ 19.05.2024): pip install finmarketpy

(🥉22 · ⭐ 1.3K · 💤) - A program for financial portfolio management, analysis and..

GitHub (👨‍💻 11 · 🔀 180 · 📦 92 · 📋 48 - 33% open · ⏱️ 03.09.2023):
```
git clone https://github.com/fmilthaler/FinQuant
```
PyPi (📥 590 / month · 📦 1 · ⏱️ 04.09.2023): pip install FinQuant

(🥉21 · ⭐ 4.3K · 💤) - High-performance TensorFlow library for quantitative..

GitHub (👨‍💻 47 · 🔀 540 · 📋 65 - 56% open · ⏱️ 15.08.2023):
```
git clone https://github.com/google/tf-quant-finance
```
PyPi (📥 530 / month · 📦 2 · ⏱️ 19.08.2022): pip install tf-quant-finance

Show 13 hidden projects…

(🥇32 · ⭐ 17K · 💀) - Zipline, a Pythonic Algorithmic Trading Library.

(🥇31 · ⭐ 5.5K · 💀) - Portfolio and risk analytics in Python.

(🥇31 · ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed

(🥈29 · ⭐ 13K · 💀) - Python Backtesting library for trading strategies.

(🥈27 · ⭐ 1.2K · 💀) - Common financial risk and performance metrics. Used by..

(🥉26 · ⭐ 3.1K · 💀) - Performance analysis of predictive (alpha) stock factors.

(🥉25 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in..

(🥉24 · ⭐ 2.1K · 💀) - Common financial technical indicators implemented in Pandas.

(🥉23 · ⭐ 4.3K · 💀) - Python Algorithmic Trading Library.

(🥉22 · ⭐ 4.9K · 💀) - Backtest trading strategies in Python.

(🥉22 · ⭐ 4.8K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -..

(🥉12 · ⭐ 1.7K · 💀) - Find big moving stocks before they move using machine..

(🥉8 · ⭐ 140 · 💀) - Python package to generate stock portfolios.

Time Series Data

Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data.

(🥇39 · ⭐ 7.5K) - A unified framework for machine learning with time series.

GitHub (👨‍💻 360 · 🔀 1.3K · 📥 91 · 📦 2.8K · 📋 2.3K - 35% open · ⏱️ 05.06.2024):
```
git clone https://github.com/alan-turing-institute/sktime
```
PyPi (📥 800K / month · 📦 120 · ⏱️ 04.06.2024): pip install sktime
Conda (📥 960K · ⏱️ 05.06.2024): conda install -c conda-forge sktime-all-extras

(🥇34 · ⭐ 18K) - Tool for producing high quality forecasts for time series data that has..

GitHub (👨‍💻 180 · 🔀 4.5K · 📥 2.5K · 📦 21 · 📋 2.1K - 18% open · ⏱️ 18.05.2024):
```
git clone https://github.com/facebook/prophet
```
PyPi (📥 830K / month · 📦 89 · ⏱️ 05.09.2020): pip install fbprophet
Conda (📥 1.2M · ⏱️ 20.10.2023): conda install -c conda-forge prophet

(🥇34 · ⭐ 3.6K) - Lightning fast forecasting with statistical and econometric..

GitHub (👨‍💻 41 · 🔀 250 · 📦 920 · 📋 320 - 30% open · ⏱️ 30.05.2024):
```
git clone https://github.com/Nixtla/statsforecast
```
PyPi (📥 590K / month · 📦 55 · ⏱️ 24.05.2024): pip install statsforecast
Conda (📥 71K · ⏱️ 24.05.2024): conda install -c conda-forge statsforecast

(🥈33 · ⭐ 7.4K) - A python library for user-friendly forecasting and anomaly detection..

GitHub (👨‍💻 120 · 🔀 800 · 📦 630 · 📋 1.4K - 18% open · ⏱️ 05.06.2024):
```
git clone https://github.com/unit8co/darts
```
PyPi (📥 24K / month · 📦 6 · ⏱️ 17.04.2024): pip install u8darts
Conda (📥 46K · ⏱️ 18.04.2024): conda install -c conda-forge u8darts-all
Docker Hub (📥 590 · ⏱️ 17.04.2024): docker pull unit8/darts

(🥈32 · ⭐ 8.2K) - Automatic extraction of relevant features from time series:.

GitHub (👨‍💻 94 · 🔀 1.2K · 📦 21 · 📋 540 - 12% open · ⏱️ 26.05.2024):
```
git clone https://github.com/blue-yonder/tsfresh
```
PyPi (📥 250K / month · 📦 75 · ⏱️ 28.01.2024): pip install tsfresh
Conda (📥 1.4M · ⏱️ 28.01.2024): conda install -c conda-forge tsfresh

(🥈32 · ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series..

GitHub (👨‍💻 23 · 🔀 230 · 📦 8.3K · 📋 330 - 17% open · ⏱️ 23.02.2024):
```
git clone https://github.com/alkaline-ml/pmdarima
```
PyPi (📥 2.4M / month · 📦 140 · ⏱️ 23.10.2023): pip install pmdarima
Conda (📥 1.1M · ⏱️ 19.04.2024): conda install -c conda-forge pmdarima

(🥈31 · ⭐ 3K) - STUMPY is a powerful and scalable Python library for modern time series..

GitHub (👨‍💻 38 · 🔀 280 · 📦 770 · 📋 480 - 11% open · ⏱️ 01.06.2024):
```
git clone https://github.com/TDAmeritrade/stumpy
```
PyPi (📥 240K / month · 📦 23 · ⏱️ 21.08.2023): pip install stumpy
Conda (📥 990K · ⏱️ 21.08.2023): conda install -c conda-forge stumpy

(🥈30 · ⭐ 4.4K) - Probabilistic time series modeling in Python.

GitHub (👨‍💻 110 · 🔀 740 · 📋 940 - 33% open · ⏱️ 31.05.2024):
```
git clone https://github.com/awslabs/gluon-ts
```
PyPi (📥 240K / month · 📦 27 · ⏱️ 03.06.2024): pip install gluonts
Conda (📥 770 · ⏱️ 22.12.2023): conda install -c anaconda gluonts

(🥈30 · ⭐ 3.7K) - NeuralProphet: A simple forecasting package.

GitHub (👨‍💻 53 · 🔀 460 · 📦 450 · 📋 520 - 8% open · ⏱️ 15.03.2024):
```
git clone https://github.com/ourownstory/neural_prophet
```
PyPi (📥 180K / month · 📦 5 · ⏱️ 23.02.2024): pip install neuralprophet

(🥈30 · ⭐ 2.8K) - The machine learning toolkit for time series analysis in Python.

GitHub (👨‍💻 43 · 🔀 320 · 📦 1.3K · 📋 320 - 39% open · ⏱️ 20.03.2024):
```
git clone https://github.com/tslearn-team/tslearn
```
PyPi (📥 390K / month · 📦 71 · ⏱️ 12.12.2023): pip install tslearn
Conda (📥 1.3M · ⏱️ 04.02.2024): conda install -c conda-forge tslearn

(🥈30 · ⭐ 2.6K) - Scalable and user friendly neural forecasting algorithms.

GitHub (👨‍💻 45 · 🔀 300 · 📦 160 · 📋 470 - 20% open · ⏱️ 30.05.2024):
```
git clone https://github.com/Nixtla/neuralforecast
```
PyPi (📥 43K / month · 📦 16 · ⏱️ 07.05.2024): pip install neuralforecast
Conda (📥 16K · ⏱️ 08.05.2024): conda install -c conda-forge neuralforecast

(🥈28 · ⭐ 980) - Time series forecasting with scikit-learn models.

GitHub (👨‍💻 13 · 🔀 110 · 📦 270 · 📋 140 - 17% open · ⏱️ 30.05.2024):
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
PyPi (📥 48K / month · 📦 12 · ⏱️ 20.05.2024): pip install skforecast

(🥉27 · ⭐ 3.7K) - Time series forecasting with PyTorch.

GitHub (👨‍💻 45 · 🔀 580 · 📋 760 - 62% open · ⏱️ 15.03.2024):
```
git clone https://github.com/jdb78/pytorch-forecasting
```
PyPi (📥 53K / month · 📦 16 · ⏱️ 26.07.2020): pip install pytorch-forecasting
Conda (📥 58K · ⏱️ 16.06.2023): conda install -c conda-forge pytorch-forecasting

(🥉26 · ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented..

GitHub (👨‍💻 20 · 🔀 140 · 📦 57 · 📋 400 - 12% open · ⏱️ 31.03.2024):
```
git clone https://github.com/uber/orbit
```
PyPi (📥 21K / month · 📦 1 · ⏱️ 01.04.2024): pip install orbit-ml
Conda (📥 7.8K · ⏱️ 01.04.2024): conda install -c conda-forge orbit-ml

(🥉26 · ⭐ 1.7K · 💤) - A Python package for time series classification.

GitHub (👨‍💻 14 · 🔀 160 · 📦 610 · 📋 78 - 55% open · ⏱️ 20.06.2023):
```
git clone https://github.com/johannfaouzi/pyts
```
PyPi (📥 170K / month · 📦 19 · ⏱️ 31.10.2021): pip install pyts
Conda (📥 24K · ⏱️ 18.06.2023): conda install -c conda-forge pyts

(🥉24 · ⭐ 870) - An intuitive library to extract features from time series.

GitHub (👨‍💻 20 · 🔀 130 · 📦 130 · 📋 69 - 4% open · ⏱️ 14.05.2024):
```
git clone https://github.com/fraunhoferportugal/tsfel
```
PyPi (📥 23K / month · 📦 3 · ⏱️ 27.03.2024): pip install tsfel

(🥉22 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library.

GitHub (👨‍💻 10 · 🔀 100 · 📥 26 · 📦 30 · 📋 110 - 26% open · ⏱️ 16.01.2024):
```
git clone https://github.com/linkedin/greykite
```
PyPi (📥 11K / month · ⏱️ 12.01.2024): pip install greykite

(🥉20 · ⭐ 690) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost..

GitHub (👨‍💻 13 · 🔀 110 · 📋 88 - 1% open · ⏱️ 05.05.2024):
```
git clone https://github.com/AutoViML/Auto_TS
```
PyPi (📥 12K / month · ⏱️ 05.05.2024): pip install auto-ts

(🥉20 · ⭐ 380) - Flexible time series feature extraction & processing.

GitHub (👨‍💻 6 · 🔀 25 · 📦 13 · 📋 52 - 57% open · ⏱️ 05.06.2024):
```
git clone https://github.com/predict-idlab/tsflex
```
PyPi (📥 320 / month · 📦 1 · ⏱️ 04.04.2024): pip install tsflex
Conda (📥 22K · ⏱️ 08.04.2024): conda install -c conda-forge tsflex

(🥉19 · ⭐ 470 · 💤) - A python library for Bayesian time series modeling.

GitHub (👨‍💻 6 · 🔀 97 · 📦 33 · 📋 49 - 75% open · ⏱️ 04.09.2023):
```
git clone https://github.com/wwrechard/pydlm
```
PyPi (📥 22K / month · 📦 2 · ⏱️ 19.12.2018): pip install pydlm

Show 10 hidden projects…

(🥉26 · ⭐ 1.2K · 💀) - Real-time stream processing for python.

(🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python.

(🥉22 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library.

(🥉22 · ⭐ 470 · 💀) - Module for statistical learning, with a particular emphasis on time-..

(🥉21 · ⭐ 570 · 💀) - Python module for machine learning time series:.

(🥉20 · ⭐ 1K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time..

(🥉19 · ⭐ 730 · 💀) - A Python library for detecting patterns and anomalies..

(🥉14 · ⭐ 510 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai).

(🥉14 · ⭐ 340 · 💀) - A Python package for time series augmentation.

(🥉8 · ⭐ 67 · 💀) - A library for Time Series EDA (exploratory data analysis).

Medical Data

Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats.

(🥇39 · ⭐ 2.6K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.

GitHub (👨‍💻 370 · 🔀 1.3K · 📦 3.9K · 📋 4.8K - 10% open · ⏱️ 05.06.2024):
```
git clone https://github.com/mne-tools/mne-python
```
PyPi (📥 120K / month · 📦 350 · ⏱️ 19.04.2024): pip install mne
Conda (📥 370K · ⏱️ 26.05.2024): conda install -c conda-forge mne

(🥇37 · ⭐ 1.1K) - Machine learning for NeuroImaging in Python.

GitHub (👨‍💻 240 · 🔀 550 · 📥 170 · 📦 3.2K · 📋 2.1K - 14% open · ⏱️ 05.06.2024):
```
git clone https://github.com/nilearn/nilearn
```
PyPi (📥 60K / month · 📦 280 · ⏱️ 09.04.2024): pip install nilearn
Conda (📥 270K · ⏱️ 09.04.2024): conda install -c conda-forge nilearn

(🥈36 · ⭐ 5.4K) - AI Toolkit for Healthcare Imaging.

GitHub (👨‍💻 190 · 🔀 980 · 📦 2.3K · 📋 3K - 11% open · ⏱️ 31.05.2024):
```
git clone https://github.com/Project-MONAI/MONAI
```
PyPi (📥 150K / month · 📦 97 · ⏱️ 21.05.2024): pip install monai
Conda (📥 24K · ⏱️ 21.05.2024): conda install -c conda-forge monai

(🥈36 · ⭐ 630) - Python package to access a cacophony of neuro-imaging file formats.

GitHub (👨‍💻 100 · 🔀 260 · 📦 19K · 📋 530 - 24% open · ⏱️ 29.05.2024):
```
git clone https://github.com/nipy/nibabel
```
PyPi (📥 500K / month · 📦 1K · ⏱️ 27.02.2024): pip install nibabel
Conda (📥 710K · ⏱️ 27.02.2024): conda install -c conda-forge nibabel

(🥈35 · ⭐ 740) - Workflows and interfaces for neuroimaging packages.

GitHub (👨‍💻 260 · 🔀 510 · 📦 4.4K · 📋 1.4K - 29% open · ⏱️ 30.05.2024):
```
git clone https://github.com/nipy/nipype
```
PyPi (📥 170K / month · 📦 140 · ⏱️ 06.04.2023): pip install nipype
Conda (📥 620K · ⏱️ 22.09.2023): conda install -c conda-forge nipype

(🥈32 · ⭐ 2.3K) - Survival analysis in Python.

GitHub (👨‍💻 120 · 🔀 580 · 📦 2.5K · 📋 950 - 26% open · ⏱️ 07.03.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
PyPi (📥 550K / month · 📦 130 · ⏱️ 03.01.2024): pip install lifelines
Conda (📥 340K · ⏱️ 13.09.2023): conda install -c conda-forge lifelines

(🥈32 · ⭐ 950) - Cloud-native genomic dataframes and batch computing.

GitHub (👨‍💻 92 · 🔀 240 · 📦 130 · 📋 2.4K - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/hail-is/hail
```
PyPi (📥 19K / month · 📦 30 · ⏱️ 05.06.2024): pip install hail

(🥉25 · ⭐ 3.1K) - DeepVariant is an analysis pipeline that uses a deep neural..

GitHub (👨‍💻 30 · 🔀 690 · 📥 4.7K · 📋 760 - 0% open · ⏱️ 18.03.2024):
```
git clone https://github.com/google/deepvariant
```
Conda (📥 65K · ⏱️ 16.06.2023): conda install -c bioconda deepvariant

(🥉18 · ⭐ 320 · 💤) - Brain Imaging Analysis Kit.

GitHub (👨‍💻 35 · 🔀 130 · 📋 210 - 38% open · ⏱️ 27.11.2023):
```
git clone https://github.com/brainiak/brainiak
```
PyPi (📥 100 / month · ⏱️ 15.10.2020): pip install brainiak
Docker Hub (📥 1.8K · ⭐ 1 · ⏱️ 15.10.2020): docker pull brainiak/brainiak

Show 10 hidden projects…

(🥈33 · ⭐ 680) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. ❗Unlicensed

(🥉24 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural..

(🥉24 · ⭐ 560) - Medical image processing in Python.

(🥉22 · ⭐ 370) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed

(🥉22 · ⭐ 260) - An open-source toolkit for large-scale genomic analysis.

(🥉20 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis.

(🥉16 · ⭐ 840 · 💀) - A medical imaging framework for Pytorch.

(🥉15 · ⭐ 1.3K · 💀) - The Medical Detection Toolkit contains 2D + 3D..

(🥉13 · ⭐ 120 · 💀) - A deep learning python package for neuroimaging data. Made by:.

(🥉12 · ⭐ 1.9K · 💀) - Many studies have shown that the performance on deep learning is..

Tabular Data

Libraries for processing tabular and structured data.

(🥇23 · ⭐ 1.2K) - A standard framework for modelling Deep Learning Models..

GitHub (👨‍💻 21 · 🔀 130 · 📥 27 · 📋 140 - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/manujosephv/pytorch_tabular
```
PyPi (📥 5.4K / month · 📦 2 · ⏱️ 15.01.2024): pip install pytorch_tabular

(🥈22 · ⭐ 320) - Multiple Imputation with LightGBM in Python.

GitHub (👨‍💻 8 · 🔀 27 · 📦 140 · 📋 82 - 26% open · ⏱️ 27.04.2024):
```
git clone https://github.com/AnotherSamWilson/miceforest
```
PyPi (📥 46K / month · 📦 5 · ⏱️ 16.11.2023): pip install miceforest
Conda (📥 13K · ⏱️ 16.06.2023): conda install -c conda-forge miceforest

(🥉17 · ⭐ 400) - Deep Learning PyTorch.

GitHub (👨‍💻 1 · 🔀 38 · 📦 5 · 📋 82 - 2% open · ⏱️ 18.03.2024):
```
git clone https://github.com/carefree0910/carefree-learn
```
PyPi (📥 400 / month · ⏱️ 09.01.2024): pip install carefree-learn

Show 2 hidden projects…

(🥉21 · ⭐ 300) - Data search & enrichment library for Machine Learning Easily find and add..

(🥉12 · ⭐ 530 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai).

Optical Character Recognition

Libraries for optical character recognition (OCR) and text extraction from images or videos.

(🥇40 · ⭐ 39K) - Awesome multilingual OCR toolkits based on PaddlePaddle..

GitHub (👨‍💻 200 · 🔀 7.3K · 📦 2.7K · 📋 9.2K - 5% open · ⏱️ 06.06.2024):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
PyPi (📥 190K / month · 📦 65 · ⏱️ 29.03.2024): pip install paddleocr

(🥇35 · ⭐ 22K · 💤) - Ready-to-use OCR with 80+ supported languages and all popular..

GitHub (👨‍💻 130 · 🔀 3K · 📥 11M · 📦 6.7K · 📋 980 - 40% open · ⏱️ 04.09.2023):
```
git clone https://github.com/JaidedAI/EasyOCR
```
PyPi (📥 270K / month · 📦 180 · ⏱️ 04.09.2023): pip install easyocr

(🥇35 · ⭐ 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them..

GitHub (👨‍💻 96 · 🔀 910 · 📥 3.6K · 📦 840 · 📋 1.1K - 9% open · ⏱️ 01.06.2024):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
PyPi (📥 93K / month · 📦 25 · ⏱️ 21.05.2024): pip install ocrmypdf
Conda (📥 67K · ⏱️ 16.06.2023): conda install -c conda-forge ocrmypdf

(🥈32 · ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API.

GitHub (👨‍💻 30 · 🔀 250 · 📥 250 · 📦 990 · 📋 280 - 18% open · ⏱️ 27.04.2024):
```
git clone https://github.com/sirfz/tesserocr
```
PyPi (📥 66K / month · 📦 34 · ⏱️ 27.04.2024): pip install tesserocr
Conda (📥 140K · ⏱️ 16.06.2023): conda install -c conda-forge tesserocr

(🥈30 · ⭐ 5.6K) - Python-tesseract is an optical character recognition (OCR) tool..

GitHub (👨‍💻 49 · 🔀 700 · 📋 360 - 3% open · ⏱️ 08.05.2024):
```
git clone https://github.com/madmaze/pytesseract
```
PyPi (📥 2.1M / month · 📦 850 · ⏱️ 16.08.2022): pip install pytesseract
Conda (📥 610K · ⏱️ 15.10.2023): conda install -c conda-forge pytesseract

(🥉26 · ⭐ 4.1K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox.

GitHub (👨‍💻 90 · 🔀 720 · 📦 130 · 📋 910 - 18% open · ⏱️ 23.04.2024):
```
git clone https://github.com/open-mmlab/mmocr
```
PyPi (📥 6K / month · 📦 3 · ⏱️ 05.05.2022): pip install mmocr

(🥉26 · ⭐ 1.3K · 💤) - A packaged and flexible version of the CRAFT text detector..

GitHub (👨‍💻 18 · 🔀 330 · 📥 1.3M · 📦 480 · 📋 210 - 46% open · ⏱️ 06.11.2023):
```
git clone https://github.com/faustomorales/keras-ocr
```
PyPi (📥 48K / month · 📦 8 · ⏱️ 06.11.2023): pip install keras-ocr
Conda (📥 310 · ⏱️ 16.06.2023): conda install -c anaconda keras-ocr

(🥉21 · ⭐ 1K · 💤) - Line based ATR Engine based on OCRopy.

GitHub (👨‍💻 20 · 🔀 210 · 📋 270 - 23% open · ⏱️ 18.08.2023):
```
git clone https://github.com/Calamari-OCR/calamari
```
PyPi (📥 2.4K / month · 📦 5 · ⏱️ 18.08.2023): pip install calamari_ocr

(🥉20 · ⭐ 1.1K · 💤) - A Tensorflow model for text recognition (CNN + seq2seq..

GitHub (👨‍💻 28 · 🔀 250 · 📦 28 · 📋 150 - 16% open · ⏱️ 20.10.2023):
```
git clone https://github.com/emedvedev/attention-ocr
```
PyPi (📥 130 / month · ⏱️ 19.04.2019): pip install aocr

Show 3 hidden projects…

(🥉22 · ⭐ 2.2K · 💀) - A set of tools for extracting tables from PDF files..

(🥉20 · ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python..

(🥉10 · ⭐ 580 · 💀) - An optical music recognition (OMR) system. Converts sheet..

Data Containers & Structures

General-purpose data containers & structures as well as utilities & extensions for pandas.

🔗 ( ⭐ 3.5K) - Collection of data-container, dataframe, and pandas-..

Data Loading & Extraction

Libraries for loading, collecting, and extracting data from a variety of data sources and formats.

🔗 ( ⭐ 3.5K) - Collection of data-loading and -extraction libraries.

Web Scraping & Crawling

Libraries for web scraping, crawling, downloading, and mining as well as libraries.

🔗 ( ⭐ 2.2K) - Collection of web-scraping and crawling libraries.

Data Pipelines & Streaming

Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.

🔗 ( ⭐ 3.5K) - Libraries for data batch- and stream-processing,..

Distributed Machine Learning

Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure.

(🥇44 · ⭐ 32K) - Ray is a unified framework for scaling AI and Python applications. Ray..

GitHub (👨‍💻 1K · 🔀 5.3K · 📥 210 · 📦 16K · 📋 18K - 20% open · ⏱️ 06.06.2024):
```
git clone https://github.com/ray-project/ray
```
PyPi (📥 4M / month · 📦 700 · ⏱️ 22.05.2024): pip install ray
Conda (📥 230K · ⏱️ 29.05.2024): conda install -c conda-forge ray-tune

(🥇44 · ⭐ 12K) - Parallel computing with task scheduling.

GitHub (👨‍💻 600 · 🔀 1.7K · 📦 61K · 📋 5.2K - 20% open · ⏱️ 05.06.2024):
```
git clone https://github.com/dask/dask
```
PyPi (📥 8.9M / month · 📦 2.1K · ⏱️ 31.05.2024): pip install dask
Conda (📥 11M · ⏱️ 31.05.2024): conda install -c conda-forge dask

(🥇41 · ⭐ 33K) - DeepSpeed is a deep learning optimization library that makes..

GitHub (👨‍💻 320 · 🔀 3.9K · 📦 7.3K · 📋 2.7K - 39% open · ⏱️ 05.06.2024):
```
git clone https://github.com/microsoft/DeepSpeed
```
PyPi (📥 530K / month · 📦 170 · ⏱️ 23.04.2024): pip install deepspeed
Docker Hub (📥 18K · ⭐ 4 · ⏱️ 02.09.2022): docker pull deepspeed/deepspeed

(🥇40 · ⭐ 1.5K) - A distributed task scheduler for Dask.

GitHub (👨‍💻 320 · 🔀 710 · 📦 35K · 📋 3.9K - 39% open · ⏱️ 05.06.2024):
```
git clone https://github.com/dask/distributed
```
PyPi (📥 4.2M / month · 📦 750 · ⏱️ 31.05.2024): pip install distributed
Conda (📥 14M · ⏱️ 31.05.2024): conda install -c conda-forge distributed

(🥈35 · ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and..

GitHub (👨‍💻 170 · 🔀 2.2K · 📦 1.2K · 📋 2.2K - 17% open · ⏱️ 25.03.2024):
```
git clone https://github.com/horovod/horovod
```
PyPi (📥 95K / month · 📦 29 · ⏱️ 12.06.2023): pip install horovod

(🥈35 · ⭐ 6.8K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning..

GitHub (👨‍💻 260 · 🔀 2K · 📦 21 · 📋 9.4K - 29% open · ⏱️ 04.06.2024):
```
git clone https://github.com/h2oai/h2o-3
```
PyPi (📥 290K / month · 📦 46 · ⏱️ 13.05.2024): pip install h2o

(🥈35 · ⭐ 2K) - Torchmetrics - Machine learning metrics for distributed, scalable..

GitHub (👨‍💻 240 · 🔀 380 · 📥 5.2K · 📦 26K · 📋 830 - 8% open · ⏱️ 06.06.2024):
```
git clone https://github.com/Lightning-AI/metrics
```
PyPi (📥 4.3K / month · 📦 2 · ⏱️ 28.04.2018): pip install metrics
Conda (📥 1.4M · ⏱️ 16.05.2024): conda install -c conda-forge torchmetrics

(🥈34 · ⭐ 38K) - Making large AI models cheaper, faster and more accessible.

GitHub (👨‍💻 190 · 🔀 4.2K · 📦 380 · 📋 1.6K - 25% open · ⏱️ 06.06.2024):
```
git clone https://github.com/hpcaitech/colossalai
```

(🥈33 · ⭐ 6.1K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,..

GitHub (👨‍💻 100 · 🔀 1.2K · 📥 500 · 📦 51 · 📋 2.3K - 35% open · ⏱️ 06.06.2024):
```
git clone https://github.com/intel-analytics/BigDL
```
PyPi (📥 3.3K / month · 📦 2 · ⏱️ 24.03.2024): pip install bigdl
Maven (📦 5 · ⏱️ 20.04.2021): <dependency> <groupId>com.intel.analytics.bigdl</groupId> <artifactId>bigdl-SPARK_2.4</artifactId> <version>[VERSION]</version> </dependency>

(🥈32 · ⭐ 3K) - PyTorch extensions for high performance and large scale training.

GitHub (👨‍💻 75 · 🔀 260 · 📦 5.3K · 📋 380 - 25% open · ⏱️ 03.05.2024):
```
git clone https://github.com/facebookresearch/fairscale
```
PyPi (📥 510K / month · 📦 66 · ⏱️ 11.12.2022): pip install fairscale
Conda (📥 210K · ⏱️ 28.11.2023): conda install -c conda-forge fairscale

(🥈30 · ⭐ 880) - Scalable Machine Learning with Dask.

GitHub (👨‍💻 78 · 🔀 250 · 📦 1K · 📋 530 - 51% open · ⏱️ 02.04.2024):
```
git clone https://github.com/dask/dask-ml
```
PyPi (📥 250K / month · 📦 89 · ⏱️ 02.04.2024): pip install dask-ml
Conda (📥 830K · ⏱️ 21.03.2024): conda install -c conda-forge dask-ml

(🥈30 · ⭐ 760) - Python bindings for MPI.

GitHub (👨‍💻 26 · 🔀 110 · 📥 24K · 📋 160 - 4% open · ⏱️ 03.06.2024):
```
git clone https://github.com/mpi4py/mpi4py
```
PyPi (📥 300K / month · 📦 680 · ⏱️ 14.04.2024): pip install mpi4py
Conda (📥 2.5M · ⏱️ 25.05.2024): conda install -c conda-forge mpi4py

(🥈29 · ⭐ 5K) - Simple and Distributed Machine Learning.

GitHub (👨‍💻 120 · 🔀 820 · 📋 750 - 46% open · ⏱️ 21.05.2024):
```
git clone https://github.com/microsoft/SynapseML
```
PyPi (📥 220K / month · 📦 5 · ⏱️ 11.04.2024): pip install synapseml

(🥉27 · ⭐ 1.8K) - Petastorm library enables single machine or distributed training..

GitHub (👨‍💻 50 · 🔀 280 · 📥 460 · 📦 170 · 📋 320 - 53% open · ⏱️ 02.12.2023):
```
git clone https://github.com/uber/petastorm
```
PyPi (📥 75K / month · 📦 8 · ⏱️ 03.02.2023): pip install petastorm

(🥉26 · ⭐ 1.1K · 💤) - Python 3.8+ toolbox for submitting jobs to Slurm.

GitHub (👨‍💻 23 · 🔀 110 · 📦 2.7K · 📋 120 - 36% open · ⏱️ 09.11.2023):
```
git clone https://github.com/facebookincubator/submitit
```
PyPi (📥 300K / month · 📦 39 · ⏱️ 09.11.2023): pip install submitit
Conda (📥 37K · ⏱️ 24.11.2023): conda install -c conda-forge submitit

(🥉25 · ⭐ 3.3K) - a distributed deep learning platform.

GitHub (👨‍💻 90 · 🔀 1.2K · 📦 3 · 📋 130 - 40% open · ⏱️ 23.05.2024):
```
git clone https://github.com/apache/singa
```
Conda (📥 750 · ⏱️ 16.06.2023): conda install -c nusdbsystem singa
Docker Hub (📥 6.6K · ⭐ 4 · ⏱️ 31.05.2022): docker pull apache/singa

(🥉24 · ⭐ 1.9K) - Decentralized deep learning in PyTorch. Built to train models on..

GitHub (👨‍💻 29 · 🔀 130 · 📦 100 · 📋 170 - 40% open · ⏱️ 04.12.2023):
```
git clone https://github.com/learning-at-home/hivemind
```
PyPi (📥 3.4K / month · 📦 10 · ⏱️ 31.08.2023): pip install hivemind

(🥉22 · ⭐ 5K) - Simple and Distributed Machine Learning.

GitHub (👨‍💻 120 · 🔀 820 · 📋 750 - 46% open · ⏱️ 21.05.2024):
```
git clone https://github.com/microsoft/SynapseML
```
PyPi (📥 1 / month · ⏱️ 18.03.2020): pip install mmlspark

(🥉22 · ⭐ 1.6K · 💤) - Mesh TensorFlow: Model Parallelism Made Easier.

GitHub (👨‍💻 50 · 🔀 260 · 📋 120 - 84% open · ⏱️ 17.11.2023):
```
git clone https://github.com/tensorflow/mesh
```
PyPi (📥 42K / month · 📦 3 · ⏱️ 15.05.2022): pip install mesh-tensorflow

(🥉21 · ⭐ 2.6K · 🐣) - Distributed Tensorflow, Keras and PyTorch on Apache..

GitHub (👨‍💻 110 · 🔀 730 · 📋 1.3K - 32% open · ⏱️ 08.04.2024):
```
git clone https://github.com/intel-analytics/analytics-zoo
```
PyPi (📥 350 / month · 📦 1 · ⏱️ 22.08.2022): pip install analytics-zoo

(🥉21 · ⭐ 310 · 💤) - Launchpad is a library that simplifies writing..

GitHub (👨‍💻 28 · 🔀 34 · 📦 98 · 📋 40 - 47% open · ⏱️ 22.08.2023):
```
git clone https://github.com/deepmind/launchpad
```
PyPi (📥 1.5K / month · 📦 1 · ⏱️ 28.04.2022): pip install dm-launchpad

Show 15 hidden projects…

(🥈32 · ⭐ 5.6K) - Distributed Evolutionary Algorithms in Python.

(🥈30 · ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed

(🥉27 · ⭐ 3.9K · 💀) - TensorFlowOnSpark brings TensorFlow programs to..

(🥉27 · ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark. keras

(🥉22 · ⭐ 280 · 💀) - Distributed scikit-learn meta-estimators in PySpark.

(🥉21 · ⭐ 260) - Massively parallel self-organizing maps: accelerate training on multicore..

(🥉20 · ⭐ 3.6K · 💀) - A high performance and generic framework for distributed DNN..

(🥉20 · ⭐ 750 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on..

(🥉18 · ⭐ 6.2K · 💀) - Model parallel transformers in JAX and Haiku.

(🥉18 · ⭐ 760 · 💀) - Parallelformers: An Efficient Model Parallelization..

(🥉18 · ⭐ 290 · 💀) - Distributed and decentralized training framework for PyTorch..

(🥉17 · ⭐ 1K · 💀) - Distributed Computing for AI Made Simple.

(🥉13 · ⭐ 50 · 💀) - Distributed machine learning made simple.

(🥉11 · ⭐ 360 · 💀) - A library for distributed ML training with PyTorch.

(🥉10 · ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow.

Hyperparameter Optimization & AutoML

Libraries for hyperparameter optimization, automl and neural architecture search.

(🥇34 · ⭐ 7.1K) - An open source python library for automated feature engineering.

GitHub (👨‍💻 72 · 🔀 860 · 📦 1.7K · 📋 1K - 14% open · ⏱️ 03.06.2024):
```
git clone https://github.com/alteryx/featuretools
```
PyPi (📥 67K / month · 📦 73 · ⏱️ 14.05.2024): pip install featuretools
Conda (📥 190K · ⏱️ 15.05.2024): conda install -c conda-forge featuretools

(🥇34 · ⭐ 3K) - Bayesian optimization in PyTorch.

GitHub (👨‍💻 110 · 🔀 370 · 📦 1K · 📋 500 - 14% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/botorch
```
PyPi (📥 160K / month · 📦 74 · ⏱️ 01.05.2024): pip install botorch
Conda (📥 110K · ⏱️ 01.05.2024): conda install -c conda-forge botorch

(🥇34 · ⭐ 2.3K) - Adaptive Experimentation Platform.

GitHub (👨‍💻 170 · 🔀 290 · 📦 730 · 📋 740 - 15% open · ⏱️ 05.06.2024):
```
git clone https://github.com/facebook/Ax
```
PyPi (📥 95K / month · 📦 48 · ⏱️ 02.05.2024): pip install ax-platform
Conda (📥 20K · ⏱️ 03.05.2024): conda install -c conda-forge ax-platform

(🥇33 · ⭐ 14K · 💤) - An open source AutoML toolkit for automate machine learning lifecycle,..

GitHub (👨‍💻 190 · 🔀 1.8K · 📦 660 · 📋 2.1K - 18% open · ⏱️ 26.10.2023):
```
git clone https://github.com/microsoft/nni
```
PyPi (📥 15K / month · 📦 38 · ⏱️ 14.09.2023): pip install nni

(🥇33 · ⭐ 7.3K) - Fast and Accurate ML in 3 Lines of Code.

GitHub (👨‍💻 120 · 🔀 860 · 📦 720 · 📋 1.3K - 26% open · ⏱️ 05.06.2024):
```
git clone https://github.com/autogluon/autogluon
```
PyPi (📥 77K / month · 📦 24 · ⏱️ 06.06.2024): pip install autogluon
Docker Hub (📥 8K · ⭐ 17 · ⏱️ 07.03.2024): docker pull autogluon/autogluon

(🥈32 · ⭐ 9.1K) - AutoML library for deep learning.

GitHub (👨‍💻 140 · 🔀 1.4K · 📥 18K · 📦 680 · 📋 900 - 15% open · ⏱️ 20.03.2024):
```
git clone https://github.com/keras-team/autokeras
```
PyPi (📥 18K / month · 📦 13 · ⏱️ 20.03.2024): pip install autokeras

(🥈32 · ⭐ 7.6K) - A Python implementation of global optimization with..

GitHub (👨‍💻 44 · 🔀 1.5K · 📥 150 · 📦 2.7K · 📋 340 - 3% open · ⏱️ 06.03.2024):
```
git clone https://github.com/fmfn/BayesianOptimization
```
PyPi (📥 530K / month · 📦 130 · ⏱️ 25.04.2023): pip install bayesian-optimization

(🥈32 · ⭐ 7.1K) - Distributed Asynchronous Hyperparameter Optimization in Python.

GitHub (👨‍💻 100 · 🔀 1K · 📦 15K · 📋 660 - 31% open · ⏱️ 13.03.2024):
```
git clone https://github.com/hyperopt/hyperopt
```
PyPi (📥 2.4M / month · 📦 430 · ⏱️ 17.11.2021): pip install hyperopt
Conda (📥 770K · ⏱️ 16.06.2023): conda install -c conda-forge hyperopt

(🥈32 · ⭐ 2.8K) - A Hyperparameter Tuning Library for Keras.

GitHub (👨‍💻 61 · 🔀 380 · 📦 3.8K · 📋 480 - 43% open · ⏱️ 04.03.2024):
```
git clone https://github.com/keras-team/keras-tuner
```
PyPi (📥 270K / month · 📦 100 · ⏱️ 04.03.2024): pip install keras-tuner
Conda (📥 32K · ⏱️ 05.03.2024): conda install -c conda-forge keras-tuner

(🥈30 · ⭐ 3.9K) - A Python toolbox for performing gradient-free optimization.

GitHub (👨‍💻 55 · 🔀 350 · 📦 690 · 📋 300 - 42% open · ⏱️ 08.04.2024):
```
git clone https://github.com/facebookresearch/nevergrad
```
PyPi (📥 240K / month · 📦 46 · ⏱️ 20.02.2024): pip install nevergrad
Conda (📥 49K · ⏱️ 09.01.2024): conda install -c conda-forge nevergrad

(🥈28 · ⭐ 3K) - Python package for AutoML on Tabular Data with Feature..

GitHub (👨‍💻 26 · 🔀 390 · 📦 110 · 📋 630 - 24% open · ⏱️ 03.06.2024):
```
git clone https://github.com/mljar/mljar-supervised
```
PyPi (📥 2.9K / month · 📦 3 · ⏱️ 03.06.2024): pip install mljar-supervised
Conda (📥 15K · ⏱️ 03.06.2024): conda install -c conda-forge mljar-supervised

(🥈27 · ⭐ 1.6K) - Hyperparameter Experiments with TensorFlow and Keras.

GitHub (👨‍💻 23 · 🔀 270 · 📦 170 · 📋 400 - 2% open · ⏱️ 22.04.2024):
```
git clone https://github.com/autonomio/talos
```
PyPi (📥 1.3K / month · 📦 8 · ⏱️ 21.04.2024): pip install talos

(🥈26 · ⭐ 2.7K) - Lazy Predict help build a lot of basic models without much code..

GitHub (👨‍💻 18 · 🔀 310 · 📦 960 · 📋 120 - 66% open · ⏱️ 02.06.2024):
```
git clone https://github.com/shankarpandala/lazypredict
```
PyPi (📥 19K / month · 📦 1 · ⏱️ 28.09.2022): pip install lazypredict
Conda (📥 3K · ⏱️ 16.06.2023): conda install -c conda-forge lazypredict

(🥉24 · ⭐ 620) - Automated modeling and machine learning framework FEDOT.

GitHub (👨‍💻 33 · 🔀 84 · 📦 46 · 📋 540 - 17% open · ⏱️ 29.05.2024):
```
git clone https://github.com/nccr-itmo/FEDOT
```
PyPi (📥 1.3K / month · 📦 5 · ⏱️ 03.05.2024): pip install fedot

(🥉23 · ⭐ 560) - Use advanced feature engineering strategies and select best..

GitHub (👨‍💻 18 · 🔀 85 · 📦 68 · 📋 92 - 1% open · ⏱️ 02.05.2024):
```
git clone https://github.com/AutoViML/featurewiz
```
PyPi (📥 8.9K / month · 📦 2 · ⏱️ 10.02.2024): pip install featurewiz

(🥉23 · ⭐ 510) - Automatically Build Multiple ML Models with a Single Line of Code…

GitHub (👨‍💻 9 · 🔀 99 · 📦 25 · 📋 34 - 2% open · ⏱️ 11.05.2024):
```
git clone https://github.com/AutoViML/Auto_ViML
```
PyPi (📥 2K / month · 📦 3 · ⏱️ 11.05.2024): pip install autoviml

(🥉23 · ⭐ 490) - An optimization and data collection toolbox for convenient and fast..

GitHub (👨‍💻 7 · 🔀 41 · 📥 140 · 📦 29 · 📋 60 - 13% open · ⏱️ 01.06.2024):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
PyPi (📥 2.9K / month · 📦 13 · ⏱️ 17.05.2024): pip install hyperactive

(🥉19 · ⭐ 1.1K) - Python AutoML for Trading Systems and Sports Betting.

GitHub (👨‍💻 5 · 🔀 190 · 📦 4 · 📋 42 - 30% open · ⏱️ 10.02.2024):
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
PyPi (📥 150 / month · ⏱️ 29.08.2020): pip install alphapy

(🥉19 · ⭐ 540) - A python package for simultaneous Hyperparameters Tuning and..

GitHub (👨‍💻 3 · 🔀 68 · 📦 16 · 📋 33 - 12% open · ⏱️ 21.02.2024):
```
git clone https://github.com/cerlymarco/shap-hypetune
```
PyPi (📥 1.2K / month · 📦 2 · ⏱️ 21.02.2024): pip install shap-hypetune

(🥉17 · ⭐ 600) - Opytimizer is a Python library consisting of meta-heuristic..

GitHub (👨‍💻 4 · 🔀 41 · 📦 16 · 📋 21 - 4% open · ⏱️ 21.12.2023):
```
git clone https://github.com/gugarosa/opytimizer
```
PyPi (📥 250 / month · ⏱️ 04.05.2022): pip install opytimizer

Show 32 hidden projects…

(🥇39 · ⭐ 9.9K) - A hyperparameter optimization framework. ❗Unlicensed

(🥇34 · ⭐ 2.7K · 💀) - Sequential model-based optimization with a..

(🥇33 · ⭐ 9.5K) - A Python Automated Machine Learning tool that optimizes machine..

(🥈30 · ⭐ 7.4K · 💀) - Automated Machine Learning with scikit-learn.

(🥈27 · ⭐ 2.2K · 💀) - Keras + Hyperopt: A very simple wrapper for convenient..

(🥈26 · ⭐ 430) - Lightwood is Legos for Machine Learning.

(🥈25 · ⭐ 1K) - SMAC3: A Versatile Bayesian Optimization Package for..

(🥈25 · ⭐ 920 · 💀) - Gaussian Process Optimization using GPy.

(🥉23 · ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees.

(🥉22 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production.

(🥉22 · ⭐ 740 · 💀) - Python library to easily log experiments and parallelize..

(🥉22 · ⭐ 610 · 💀) - a distributed Hyperband implementation on Steroids.

(🥉22 · ⭐ 280 · 💤) - Asynchronous Distributed Hyperparameter Optimization.

(🥉21 · ⭐ 1.5K · 💀) - MLBox is a powerful Automated Machine Learning python library.

(🥉21 · ⭐ 600 · 💀) - The worlds cleanest AutoML library - Do hyperparameter tuning..

(🥉21 · ⭐ 410 · 💀) - optimization routines for hyperparameter tuning.

(🥉20 · ⭐ 760 · 💀) - Use evolutionary algorithms instead of gridsearch in..

(🥉19 · ⭐ 3.1K · 💀) - a delightful machine learning tool that allows you to train, test, and..

(🥉19 · ⭐ 840 · 💀) - An open source python library for scalable Bayesian optimisation.

(🥉18 · ⭐ 520 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for..

(🥉18 · ⭐ 330 · 💀) - Hyperparameter optimization that enables researchers to..

(🥉17 · ⭐ 1.5K · 💀) - Open-source implementation of Google Vizier for hyper parameters..

(🥉17 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated..

(🥉16 · ⭐ 700 · 💀) - Easy hyperparameter optimization and automatic result..

(🥉16 · ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of..

(🥉15 · ⭐ 1.8K · 💀) - Provide an input CSV and a target field to predict, generate a..

(🥉13 · ⭐ 2.7K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via..

(🥉12 · ⭐ 200 · 💀) - An automatic ML model optimization tool.

(🥉11 · ⭐ 3.3K · 💀) - AutoML algorithms for model architecture search at scale.

(🥉11 · ⭐ 950 · 💀) - Genetic neural architecture search with Keras.

(🥉11 · ⭐ 110) - Better, faster hyper-parameter optimization.

(🥉9 · ⭐ 140 · 💀) - A toolset for black-box hyperparameter optimisation.

Reinforcement Learning

Libraries for building and evaluating reinforcement learning & agent-based systems.

(🥇29 · ⭐ 9.3K) - FinRL: Financial Reinforcement Learning.

GitHub (👨‍💻 110 · 🔀 2.2K · 📦 40 · 📋 700 - 31% open · ⏱️ 04.06.2024):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
PyPi (📥 940 / month · ⏱️ 08.01.2022): pip install finrl

(🥈28 · ⭐ 10K) - Dopamine is a research framework for fast prototyping of..

GitHub (👨‍💻 15 · 🔀 1.4K · 📦 21 · 📋 190 - 53% open · ⏱️ 06.05.2024):
```
git clone https://github.com/google/dopamine
```
PyPi (📥 32K / month · 📦 10 · ⏱️ 06.05.2024): pip install dopamine-rl

(🥈28 · ⭐ 3.4K) - A library of reinforcement learning components and agents.

GitHub (👨‍💻 85 · 🔀 410 · 📦 200 · 📋 260 - 23% open · ⏱️ 20.05.2024):
```
git clone https://github.com/deepmind/acme
```
PyPi (📥 1.5K / month · 📦 3 · ⏱️ 10.02.2022): pip install dm-acme
Conda (📥 8.7K · ⏱️ 16.06.2023): conda install -c conda-forge dm-acme

(🥈27 · ⭐ 1.7K) - Reinforcement Learning environments based on the 1993 game Doom.

GitHub (👨‍💻 54 · 🔀 380 · 📥 12K · 📦 240 · 📋 460 - 8% open · ⏱️ 13.02.2024):
```
git clone https://github.com/mwydmuch/ViZDoom
```
PyPi (📥 2.3K / month · 📦 13 · ⏱️ 16.12.2023): pip install vizdoom

(🥈26 · ⭐ 2.7K · 📉) - TF-Agents: A reliable, scalable and easy to use..

GitHub (👨‍💻 150 · 🔀 720 · 📋 660 - 29% open · ⏱️ 20.03.2024):
```
git clone https://github.com/tensorflow/agents
```
PyPi (📥 40K / month · 📦 12 · ⏱️ 14.12.2023): pip install tf-agents

(🥈26 · ⭐ 1.2K) - A library of reinforcement learning building blocks in JAX.

GitHub (👨‍💻 21 · 🔀 83 · 📦 230 · 📋 25 - 28% open · ⏱️ 24.05.2024):
```
git clone https://github.com/deepmind/rlax
```
PyPi (📥 1.9M / month · 📦 11 · ⏱️ 09.01.2023): pip install rlax

(🥉25 · ⭐ 3.2K) - A high-performance distributed training framework for Reinforcement..

GitHub (👨‍💻 45 · 🔀 810 · 📦 130 · 📋 530 - 25% open · ⏱️ 23.05.2024):
```
git clone https://github.com/PaddlePaddle/PARL
```
PyPi (📥 910 / month · 📦 1 · ⏱️ 13.05.2022): pip install parl

(🥉24 · ⭐ 3.3K · 📉) - Tensorforce: a TensorFlow library for applied..

GitHub (👨‍💻 85 · 🔀 540 · 📋 670 - 5% open · ⏱️ 09.04.2024):
```
git clone https://github.com/tensorforce/tensorforce
```
PyPi (📥 700 / month · 📦 4 · ⏱️ 30.08.2021): pip install tensorforce

(🥉23 · ⭐ 3.5K) - A platform for Reasoning systems (Reinforcement Learning,..

GitHub (👨‍💻 170 · 🔀 510 · 📋 160 - 53% open · ⏱️ 15.05.2024):
```
git clone https://github.com/facebookresearch/ReAgent
```
PyPi (📥 23 / month · ⏱️ 27.05.2020): pip install reagent

(🥉23 · ⭐ 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library.

GitHub (👨‍💻 20 · 🔀 150 · 📦 110 · 📋 79 - 41% open · ⏱️ 29.04.2024):
```
git clone https://github.com/pfnet/pfrl
```
PyPi (📥 380 / month · 📦 1 · ⏱️ 16.07.2023): pip install pfrl

(🥉13 · ⭐ 710) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL..

GitHub (👨‍💻 7 · 🔀 43 · 📦 140 · 📋 17 - 23% open · ⏱️ 28.05.2024):
```
git clone https://github.com/google-research/rliable
```
PyPi: pip install rliable`

Show 12 hidden projects…

(🥇40 · ⭐ 34K · 💀) - A toolkit for developing and comparing reinforcement learning..

(🥇29 · ⭐ 15K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement..

(🥈28 · ⭐ 5.5K · 💀) - Deep Reinforcement Learning for Keras.

(🥈27 · ⭐ 7.3K · 💀) - Deep Learning and Reinforcement Learning Library for..

(🥉25 · ⭐ 1.8K · 💀) - A toolkit for reproducible reinforcement learning research.

(🥉24 · ⭐ 4.1K · 💀) - A fork of OpenAI Baselines, implementations of..

(🥉24 · ⭐ 1.2K · 💀) - ChainerRL is a deep reinforcement learning library built on top of..

(🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning.

(🥉20 · ⭐ 2.3K · 💀) - Reinforcement Learning Coach by Intel AI Lab enables easy..

(🥉18 · ⭐ 6.7K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to..

(🥉17 · ⭐ 7K · 💀) - A customisable 3D platform for agent-based AI research. ❗Unlicensed

(🥉12 · ⭐ 260 · 💀) - Maze Applied Reinforcement Learning Framework.

Recommender Systems

Libraries for building and evaluating recommendation systems.

(🥇35 · ⭐ 18K) - Best Practices on Recommendation Systems.

GitHub (👨‍💻 130 · 🔀 3K · 📥 500 · 📦 120 · 📋 840 - 18% open · ⏱️ 05.06.2024):
```
git clone https://github.com/microsoft/recommenders
```
PyPi (📥 29K / month · 📦 4 · ⏱️ 01.05.2024): pip install recommenders

(🥇31 · ⭐ 1.8K) - Pytorch domain library for recommendation systems.

GitHub (👨‍💻 240 · 🔀 360 · 📦 120 · 📋 360 - 70% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/torchrec
```
PyPi (📥 1.1K / month · ⏱️ 12.05.2022): pip install torchrec-nightly-cpu

(🥈30 · ⭐ 3.4K · 💤) - Fast Python Collaborative Filtering for Implicit Feedback Datasets.

GitHub (👨‍💻 34 · 🔀 600 · 📥 790 · 📦 1.3K · 📋 490 - 17% open · ⏱️ 21.11.2023):
```
git clone https://github.com/benfred/implicit
```
PyPi (📥 220K / month · 📦 28 · ⏱️ 29.09.2023): pip install implicit
Conda (📥 650K · ⏱️ 21.11.2023): conda install -c conda-forge implicit

(🥈30 · ⭐ 1.8K) - TensorFlow Recommenders is a library for building..

GitHub (👨‍💻 43 · 🔀 260 · 📦 330 · 📋 430 - 57% open · ⏱️ 16.02.2024):
```
git clone https://github.com/tensorflow/recommenders
```
PyPi (📥 470K / month · 📦 1 · ⏱️ 03.02.2023): pip install tensorflow-recommenders

(🥈29 · ⭐ 6.2K) - A Python scikit for building and analyzing recommender..

GitHub (👨‍💻 46 · 🔀 1K · 📦 21 · 📋 400 - 22% open · ⏱️ 19.05.2024):
```
git clone https://github.com/NicolasHug/Surprise
```
PyPi (📥 100K / month · 📦 36 · ⏱️ 19.05.2024): pip install scikit-surprise
Conda (📥 370K · ⏱️ 20.05.2024): conda install -c conda-forge scikit-surprise

(🥈28 · ⭐ 840) - A Comparative Framework for Multimodal Recommender Systems.

GitHub (👨‍💻 21 · 🔀 130 · 📦 220 · 📋 150 - 9% open · ⏱️ 24.05.2024):
```
git clone https://github.com/PreferredAI/cornac
```
PyPi (📥 38K / month · 📦 18 · ⏱️ 24.05.2024): pip install cornac
Conda (📥 390K · ⏱️ 24.05.2024): conda install -c conda-forge cornac

(🥉27 · ⭐ 2.7K) - Learning to Rank in TensorFlow.

GitHub (👨‍💻 34 · 🔀 470 · 📋 330 - 27% open · ⏱️ 18.03.2024):
```
git clone https://github.com/tensorflow/ranking
```
PyPi (📥 120K / month · 📦 15 · ⏱️ 18.03.2024): pip install tensorflow_ranking

(🥉25 · ⭐ 3.2K) - A unified, comprehensive and efficient recommendation library.

GitHub (👨‍💻 71 · 🔀 590 · 📋 940 - 26% open · ⏱️ 30.03.2024):
```
git clone https://github.com/RUCAIBox/RecBole
```
PyPi (📥 3.3K / month · 📦 2 · ⏱️ 31.10.2023): pip install recbole
Conda (📥 4.9K · ⏱️ 01.11.2023): conda install -c aibox recbole

(🥉20 · ⭐ 560 · 💤) - A library of metrics for evaluating recommender systems.

GitHub (👨‍💻 20 · 🔀 98 · 📥 6 · 📦 52 · 📋 28 - 46% open · ⏱️ 04.10.2023):
```
git clone https://github.com/statisticianinstilettos/recmetrics
```
PyPi (📥 19K / month · ⏱️ 26.04.2022): pip install recmetrics

Show 8 hidden projects…

(🥈29 · ⭐ 4.6K · 💀) - A Python implementation of LightFM, a hybrid recommendation..

(🥉26 · ⭐ 260) - Python recommendation toolkit.

(🥉21 · ⭐ 1.3K · 💀) - A TensorFlow recommendation algorithm and framework in..

(🥉21 · ⭐ 1.1K · 💀) - fastFM: A Library for Factorization Machines.

(🥉18 · ⭐ 2.9K · 💀) - Deep recommender models using PyTorch.

(🥉18 · ⭐ 460 · 💀) - Case Recommender: A Flexible and Extensible Python..

(🥉16 · ⭐ 410 · 💀) - OpenRec is an open-source and modular library for neural network-..

(🥉15 · ⭐ 100 · 💀) - A library for preparing, training, and evaluating scalable deep..

Privacy Machine Learning

Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy.

(🥇37 · ⭐ 9.3K) - Perform data science on data that remains in someone elses server.

GitHub (👨‍💻 510 · 🔀 2K · 📥 2.5K · 📦 1 · 📋 3.4K - 0% open · ⏱️ 05.06.2024):
```
git clone https://github.com/OpenMined/PySyft
```
PyPi (📥 13K / month · 📦 3 · ⏱️ 03.06.2024): pip install syft

(🥈29 · ⭐ 1.6K) - Training PyTorch models with differential privacy.

GitHub (👨‍💻 79 · 🔀 320 · 📥 110 · 📦 810 · 📋 300 - 27% open · ⏱️ 31.05.2024):
```
git clone https://github.com/pytorch/opacus
```
PyPi (📥 150K / month · 📦 32 · ⏱️ 11.02.2024): pip install opacus
Conda (📥 14K · ⏱️ 11.02.2024): conda install -c conda-forge opacus

(🥈26 · ⭐ 1.9K) - Library for training machine learning models with..

GitHub (👨‍💻 59 · 🔀 450 · 📥 160 · 📋 200 - 55% open · ⏱️ 13.05.2024):
```
git clone https://github.com/tensorflow/privacy
```
PyPi (📥 21K / month · 📦 15 · ⏱️ 14.02.2024): pip install tensorflow-privacy

(🥉25 · ⭐ 5.6K) - An Industrial Grade Federated Learning Framework.

GitHub (👨‍💻 100 · 🔀 1.5K · 📋 2K - 43% open · ⏱️ 08.03.2024):
```
git clone https://github.com/FederatedAI/FATE
```
PyPi (⏱️ 06.05.2020): pip install ETAF

(🥉24 · ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning.

GitHub (👨‍💻 36 · 🔀 270 · 📦 36 · 📋 270 - 28% open · ⏱️ 23.05.2024):
```
git clone https://github.com/facebookresearch/CrypTen
```
PyPi (📥 290 / month · 📦 1 · ⏱️ 08.12.2022): pip install crypten

Show 2 hidden projects…

(🥉24 · ⭐ 1.2K · 💀) - A Framework for Encrypted Machine Learning in..

(🥉18 · ⭐ 270) - PipelineDP is a Python framework for applying differentially..

Workflow & Experiment Tracking

Libraries to organize, track, and visualize machine learning experiments.

(🥇44 · ⭐ 18K) - Open source platform for the machine learning lifecycle.

GitHub (👨‍💻 730 · 🔀 4K · 📦 37K · 📋 3.9K - 37% open · ⏱️ 06.06.2024):
```
git clone https://github.com/mlflow/mlflow
```
PyPi (📥 14M / month · 📦 780 · ⏱️ 06.06.2024): pip install mlflow
Conda (📥 2M · ⏱️ 06.06.2024): conda install -c conda-forge mlflow

(🥇44 · ⭐ 6.6K) - TensorFlows Visualization Toolkit.

GitHub (👨‍💻 320 · 🔀 1.6K · 📦 240K · 📋 1.9K - 35% open · ⏱️ 05.06.2024):
```
git clone https://github.com/tensorflow/tensorboard
```
PyPi (📥 27M / month · 📦 2K · ⏱️ 16.02.2024): pip install tensorboard
Conda (📥 4.7M · ⏱️ 18.02.2024): conda install -c conda-forge tensorboard

(🥇42 · ⭐ 8.4K) - A tool for visualizing and tracking your machine learning..

GitHub (👨‍💻 180 · 🔀 610 · 📦 47K · 📋 3.1K - 26% open · ⏱️ 06.06.2024):
```
git clone https://github.com/wandb/client
```
PyPi (📥 14M / month · 📦 1.2K · ⏱️ 07.05.2024): pip install wandb
Conda (📥 520K · ⏱️ 25.03.2024): conda install -c conda-forge wandb

(🥇41 · ⭐ 13K) - ML Experiments and Data Management with Git.

GitHub (👨‍💻 300 · 🔀 1.2K · 📥 40K · 📦 16K · 📋 4.6K - 4% open · ⏱️ 03.06.2024):
```
git clone https://github.com/iterative/dvc
```
PyPi (📥 490K / month · 📦 120 · ⏱️ 03.06.2024): pip install dvc
Conda (📥 1.9M · ⏱️ 03.06.2024): conda install -c conda-forge dvc

(🥇41 · ⭐ 2.1K · 📈) - A library for training and deploying machine learning..

GitHub (👨‍💻 440 · 🔀 1.1K · 📦 4K · 📋 1.5K - 19% open · ⏱️ 05.06.2024):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
PyPi (📥 24M / month · 📦 130 · ⏱️ 22.05.2024): pip install sagemaker
Conda (📥 820K · ⏱️ 23.05.2024): conda install -c conda-forge sagemaker-python-sdk

(🥈37 · ⭐ 8.6K) - An open-source, low-code machine learning library in Python.

GitHub (👨‍💻 140 · 🔀 1.7K · 📥 690 · 📦 5.8K · 📋 2.3K - 15% open · ⏱️ 28.04.2024):
```
git clone https://github.com/pycaret/pycaret
```
PyPi (📥 330K / month · 📦 30 · ⏱️ 28.04.2024): pip install pycaret
Conda (📥 47K · ⏱️ 25.04.2024): conda install -c conda-forge pycaret

(🥈34 · ⭐ 5.3K) - ClearML - Auto-Magical CI/CD to streamline your AI workload…

GitHub (👨‍💻 98 · 🔀 640 · 📥 2.5K · 📦 1.1K · 📋 1K - 45% open · ⏱️ 05.06.2024):
```
git clone https://github.com/allegroai/clearml
```
PyPi (📥 310K / month · 📦 34 · ⏱️ 21.05.2024): pip install clearml
Docker Hub (📥 30K · ⏱️ 05.10.2020): docker pull allegroai/trains

(🥈33 · ⭐ 7.7K) - Build and manage real-life ML, AI, and data science projects with..

GitHub (👨‍💻 90 · 🔀 730 · 📦 670 · 📋 700 - 46% open · ⏱️ 05.06.2024):
```
git clone https://github.com/Netflix/metaflow
```
PyPi (📥 310K / month · 📦 45 · ⏱️ 05.06.2024): pip install metaflow
Conda (📥 180K · ⏱️ 04.06.2024): conda install -c conda-forge metaflow

(🥈33 · ⭐ 4K) - Python notebooks with ML and deep learning examples with Azure Machine..

GitHub (👨‍💻 64 · 🔀 2.5K · 📥 620 · 📋 1.5K - 26% open · ⏱️ 16.05.2024):
```
git clone https://github.com/Azure/MachineLearningNotebooks
```
PyPi (📥 540K / month · 📦 48 · ⏱️ 29.04.2024): pip install azureml-sdk

(🥈33 · ⭐ 2.1K) - This is the development home of the workflow management system..

GitHub (👨‍💻 330 · 🔀 520 · 📦 2K · 📋 1.7K - 61% open · ⏱️ 05.06.2024):
```
git clone https://github.com/snakemake/snakemake
```
PyPi (📥 43K / month · 📦 220 · ⏱️ 05.06.2024): pip install snakemake
Conda (📥 1.1M · ⏱️ 05.06.2024): conda install -c bioconda snakemake

(🥈32 · ⭐ 7.8K · 💤) - tensorboard for pytorch (and chainer, mxnet, numpy, …).

GitHub (👨‍💻 82 · 🔀 870 · 📥 420 · 📦 44K · 📋 450 - 17% open · ⏱️ 12.11.2023):
```
git clone https://github.com/lanpa/tensorboardX
```
PyPi (📥 2.2M / month · 📦 600 · ⏱️ 20.08.2023): pip install tensorboardX
Conda (📥 1.2M · ⏱️ 20.08.2023): conda install -c conda-forge tensorboardx

(🥈32 · ⭐ 6K) - Official Kaggle API.

GitHub (👨‍💻 42 · 🔀 1K · 📦 21 · 📋 460 - 32% open · ⏱️ 17.05.2024):
```
git clone https://github.com/Kaggle/kaggle-api
```
PyPi (📥 210K / month · 📦 180 · ⏱️ 17.05.2024): pip install kaggle
Conda (📥 160K · ⏱️ 17.05.2024): conda install -c conda-forge kaggle

(🥈32 · ⭐ 4.9K) - Aim An easy-to-use & supercharged open-source experiment tracker.

GitHub (👨‍💻 64 · 🔀 290 · 📦 580 · 📋 1K - 34% open · ⏱️ 03.06.2024):
```
git clone https://github.com/aimhubio/aim
```
PyPi (📥 73K / month · 📦 36 · ⏱️ 05.06.2024): pip install aim
Conda (📥 49K · ⏱️ 16.06.2023): conda install -c conda-forge aim

(🥈31 · ⭐ 550) - The MLOps stack component for experiment tracking.

GitHub (👨‍💻 54 · 🔀 61 · 📦 500 · 📋 230 - 9% open · ⏱️ 05.06.2024):
```
git clone https://github.com/neptune-ai/neptune-client
```
PyPi (📥 520K / month · 📦 77 · ⏱️ 15.05.2024): pip install neptune-client
Conda (📥 250K · ⏱️ 15.05.2024): conda install -c conda-forge neptune-client

(🥈29 · ⭐ 4.7K · 💤) - Deep Learning Visualization Toolkit.

GitHub (👨‍💻 33 · 🔀 630 · 📥 380 · 📦 2.9K · 📋 500 - 28% open · ⏱️ 20.09.2023):
```
git clone https://github.com/PaddlePaddle/VisualDL
```
PyPi (📥 220K / month · 📦 46 · ⏱️ 05.06.2023): pip install visualdl

(🥈29 · ⭐ 4.2K · 💤) - Sacred is a tool to help you configure, organize, log and reproduce..

GitHub (👨‍💻 100 · 🔀 380 · 📦 3K · 📋 560 - 17% open · ⏱️ 13.11.2023):
```
git clone https://github.com/IDSIA/sacred
```
PyPi (📥 31K / month · 📦 58 · ⏱️ 13.11.2023): pip install sacred
Conda (📥 5.4K · ⏱️ 28.11.2023): conda install -c conda-forge sacred

(🥉27 · ⭐ 1.9K) - Monitor deep learning model training and hardware usage from your mobile..

GitHub (👨‍💻 9 · 🔀 130 · 📦 150 · 📋 39 - 43% open · ⏱️ 28.05.2024):
```
git clone https://github.com/labmlai/labml
```
PyPi (📥 2.5K / month · 📦 12 · ⏱️ 23.05.2024): pip install labml

(🥉26 · ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities.

GitHub (👨‍💻 130 · 🔀 260 · 📋 140 - 53% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pytorch/tnt
```
PyPi (📥 7.4K / month · 📦 24 · ⏱️ 29.07.2018): pip install torchnet

(🥉26 · ⭐ 600) - For recording and retrieving metadata associated with ML..

GitHub (👨‍💻 19 · 🔀 130 · 📥 2.2K · 📦 460 · 📋 120 - 34% open · ⏱️ 04.06.2024):
```
git clone https://github.com/google/ml-metadata
```
PyPi (📥 88K / month · 📦 31 · ⏱️ 23.04.2024): pip install ml-metadata

(🥉26 · ⭐ 580 · 📈) - pyspark methods to enhance developer productivity.

GitHub (👨‍💻 28 · 🔀 91 · 📥 23 · 📦 77 · 📋 120 - 31% open · ⏱️ 07.05.2024):
```
git clone https://github.com/MrPowers/quinn
```
PyPi (📥 760K / month · 📦 7 · ⏱️ 13.02.2024): pip install quinn

(🥉25 · ⭐ 300) - Gokart solves reproducibility, task dependencies, constraints of good code,..

GitHub (👨‍💻 41 · 🔀 56 · 📦 78 · 📋 80 - 25% open · ⏱️ 21.05.2024):
```
git clone https://github.com/m3dev/gokart
```
PyPi (📥 2.7K / month · 📦 8 · ⏱️ 21.05.2024): pip install gokart

(🥉23 · ⭐ 860 · 💤) - Experiment tracking, ML developer tools.

GitHub (👨‍💻 29 · 🔀 85 · 📥 16 · 📦 96 · 📋 440 - 50% open · ⏱️ 12.08.2023):
```
git clone https://github.com/guildai/guildai
```
PyPi (📥 1.3K / month · ⏱️ 11.05.2022): pip install guildai

(🥉21 · ⭐ 380 · 💤) - Studio: Simplify and expedite model building process.

GitHub (👨‍💻 24 · 🔀 52 · 📦 5 · 📋 250 - 22% open · ⏱️ 06.09.2023):
```
git clone https://github.com/studioml/studio
```
PyPi (📥 770 / month · ⏱️ 14.09.2021): pip install studioml

(🥉20 · ⭐ 3.4K · 💤) - Debugging, monitoring and visualization for Python Machine..

GitHub (👨‍💻 15 · 🔀 360 · 📦 140 · 📋 70 - 75% open · ⏱️ 30.08.2023):
```
git clone https://github.com/microsoft/tensorwatch
```
PyPi (📥 820 / month · 📦 7 · ⏱️ 04.03.2020): pip install tensorwatch

(🥉16) - Supercharging Machine Learning.

GitHub:

git clone https://github.com/comet-ml/examples

PyPi (📥 710K / month · 📦 68 · ⏱️ 29.05.2024): pip install comet_ml
Conda: conda install -c anaconda comet_ml

(🥉15 · ⭐ 490) - Research workflows made easy, locally and in the Cloud.

GitHub (👨‍💻 10 · 🔀 67 · 📋 34 - 55% open · ⏱️ 25.01.2024):
```
git clone https://github.com/google/caliban
```
PyPi (📥 71 / month · ⏱️ 12.09.2020): pip install caliban

Show 14 hidden projects…

(🥉28 · ⭐ 3.2K · 💀) - Accelerated deep learning R&D.

(🥉26 · ⭐ 2.8K · 💀) - Knock Knock: Get notified when your training ends with only two..

(🥉25 · ⭐ 1.3K · 💀) - Live training loss plot in Jupyter Notebook for Keras,..

(🥉23 · ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine..

(🥉22 · ⭐ 1.8K · 💀) - Neural network graphs and training metrics for..

(🥉21 · ⭐ 630 · 💀) - Log TensorBoard events without touching TensorFlow.

(🥉20 · ⭐ 1.6K · 💀) - Lore makes machine learning approachable for Software Engineers and..

(🥉18 · ⭐ 1.6K · 💀) - Version control for machine learning.

(🥉17 · ⭐ 340 · 💀) - Open source production model management tool for data scientists.

(🥉17 · ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies..

(🥉16 · ⭐ 320 · 💀) - Logging MXNet data for visualization in TensorBoard.

(🥉16 · ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation.

(🥉12 · ⭐ 130 · 💀) - Experiment tracking for machine and deep learning projects.

(🥉9 · ⭐ 12 · 💀) - Train off-the-shelf machine learning models in one..

Model Serialization & Deployment

Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment.

(🥇43 · ⭐ 17K) - Open standard for machine learning interoperability.

GitHub (👨‍💻 320 · 🔀 3.6K · 📥 21K · 📦 29K · 📋 2.8K - 11% open · ⏱️ 03.06.2024):
```
git clone https://github.com/onnx/onnx
```
PyPi (📥 5.7M / month · 📦 930 · ⏱️ 23.05.2024): pip install onnx
Conda (📥 1M · ⏱️ 24.05.2024): conda install -c conda-forge onnx

(🥇43 · ⭐ 12K) - Development repository for the Triton language and compiler.

GitHub (👨‍💻 280 · 🔀 1.3K · 📦 27K · 📋 1.2K - 42% open · ⏱️ 06.06.2024):
```
git clone https://github.com/openai/triton
```
PyPi (📥 12M / month · 📦 180 · ⏱️ 27.05.2024): pip install triton

(🥈38 · ⭐ 1.8K) - The official Python client for the Huggingface Hub.

GitHub (👨‍💻 170 · 🔀 460 · 📋 830 - 16% open · ⏱️ 05.06.2024):
```
git clone https://github.com/huggingface/huggingface_hub
```
PyPi (📥 36M / month · 📦 1.3K · ⏱️ 05.06.2024): pip install huggingface_hub
Conda (📥 1.8M · ⏱️ 05.06.2024): conda install -c conda-forge huggingface_hub

(🥈35 · ⭐ 6.7K) - The easiest way to serve AI/ML models in production - Build Model..

GitHub (👨‍💻 200 · 🔀 760 · 📥 1.6K · 📦 1.8K · 📋 1.1K - 22% open · ⏱️ 06.06.2024):
```
git clone https://github.com/bentoml/BentoML
```
PyPi (📥 100K / month · 📦 23 · ⏱️ 03.06.2024): pip install bentoml

(🥈35 · ⭐ 4.1K) - Core ML tools contain supporting tools for Core ML model..

GitHub (👨‍💻 170 · 🔀 600 · 📥 9.7K · 📦 3.9K · 📋 1.4K - 22% open · ⏱️ 17.05.2024):
```
git clone https://github.com/apple/coremltools
```
PyPi (📥 550K / month · 📦 71 · ⏱️ 23.04.2024): pip install coremltools
Conda (📥 59K · ⏱️ 16.06.2023): conda install -c conda-forge coremltools

(🥈35 · ⭐ 4K) - Serve, optimize and scale PyTorch models in production.

GitHub (👨‍💻 200 · 🔀 820 · 📥 5.7K · 📦 660 · 📋 1.6K - 23% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pytorch/serve
```
PyPi (📥 59K / month · 📦 21 · ⏱️ 16.05.2024): pip install torchserve
Conda (📥 190K · ⏱️ 16.05.2024): conda install -c pytorch torchserve
Docker Hub (📥 1.3M · ⭐ 27 · ⏱️ 16.05.2024): docker pull pytorch/torchserve

(🥈26 · ⭐ 1.1K) - Machine learning on FPGAs using HLS.

GitHub (👨‍💻 61 · 🔀 360 · 📋 410 - 38% open · ⏱️ 31.05.2024):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
PyPi (📥 940 / month · ⏱️ 19.12.2023): pip install hls4ml
Conda (📥 7.7K · ⏱️ 16.06.2023): conda install -c conda-forge hls4ml

(🥉25 · ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for..

GitHub (👨‍💻 40 · 🔀 270 · 📥 500 · 📋 320 - 18% open · ⏱️ 30.05.2024):
```
git clone https://github.com/microsoft/hummingbird
```
PyPi (📥 4.7K / month · 📦 4 · ⏱️ 08.03.2024): pip install hummingbird-ml
Conda (📥 41K · ⏱️ 08.03.2024): conda install -c conda-forge hummingbird-ml

(🥉21 · ⭐ 8.4K · 💤) - The user analytics platform for LLMs.

GitHub (👨‍💻 40 · 🔀 640 · 📋 200 - 48% open · ⏱️ 28.10.2023):
```
git clone https://github.com/nebuly-ai/nebullvm
```
PyPi (📥 540 / month · 📦 2 · ⏱️ 18.06.2023): pip install nebullvm

(🥉16 · ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to..

GitHub (👨‍💻 4 · 🔀 38 · 📋 34 - 32% open · ⏱️ 25.02.2024):
```
git clone https://github.com/riga/tfdeploy
```
PyPi (📥 54 / month · ⏱️ 30.03.2017): pip install tfdeploy

Show 10 hidden projects…

(🥈26 · ⭐ 5.8K · 💀) - MMdnn is a set of tools to help users inter-operate among different deep..

(🥉25 · ⭐ 2.7K · 💀) - Transform ML models into a native code (Java, C, Python, Go,..

(🥉24 · ⭐ 1.3K · 💀) - Transpile trained scikit-learn estimators to C, Java,..

(🥉22 · ⭐ 8K · 💀) - Production infrastructure for machine learning at scale.

(🥉20 · ⭐ 250) - Represent trained machine learning models as Pyomo optimization formulations.

(🥉19 · ⭐ 850 · 💀) - PyTorch to Keras model convertor.

(🥉19 · ⭐ 150) - Toolkit for developing and maintaining ML models.

(🥉18 · ⭐ 240) - Highly optimized inference engine for Binarized..

(🥉13 · ⭐ 2.5K · 💀) - Reference implementation of the Transformer.. ❗Unlicensed

(🥉13 · ⭐ 240 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-..

Model Interpretability

Libraries to visualize, explain, debug, evaluate, and interpret machine learning models.

(🥇42 · ⭐ 22K) - A game theoretic approach to explain the output of any machine learning model.

GitHub (👨‍💻 240 · 🔀 3.2K · 📦 18K · 📋 2.5K - 32% open · ⏱️ 04.06.2024):
```
git clone https://github.com/slundberg/shap
```
PyPi (📥 6.8M / month · 📦 690 · ⏱️ 07.05.2024): pip install shap
Conda (📥 2.9M · ⏱️ 08.05.2024): conda install -c conda-forge shap

(🥇36 · ⭐ 1.5K) - Exploratory analysis of Bayesian models with Python.

GitHub (👨‍💻 160 · 🔀 380 · 📥 140 · 📦 6.7K · 📋 850 - 20% open · ⏱️ 05.06.2024):
```
git clone https://github.com/arviz-devs/arviz
```
PyPi (📥 2.4M / month · 📦 280 · ⏱️ 05.04.2024): pip install arviz
Conda (📥 2.1M · ⏱️ 04.06.2024): conda install -c conda-forge arviz

(🥇34 · ⭐ 27K) - Visualizer for neural network, deep learning and machine learning..

GitHub (👨‍💻 2 · 🔀 2.7K · 📥 110K · 📦 12 · 📋 1.1K - 2% open · ⏱️ 06.06.2024):
```
git clone https://github.com/lutzroeder/netron
```
PyPi (📥 25K / month · 📦 79 · ⏱️ 01.06.2024): pip install netron

(🥇33 · ⭐ 6.1K) - Fit interpretable models. Explain blackbox machine learning.

GitHub (👨‍💻 44 · 🔀 720 · 📦 690 · 📋 430 - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/interpretml/interpret
```
PyPi (📥 81K / month · 📦 45 · ⏱️ 14.04.2024): pip install interpret

(🥇32 · ⭐ 4.6K) - Model interpretability and understanding for PyTorch.

GitHub (👨‍💻 110 · 🔀 460 · 📦 2.1K · 📋 550 - 38% open · ⏱️ 31.05.2024):
```
git clone https://github.com/pytorch/captum
```
PyPi (📥 240K / month · 📦 110 · ⏱️ 05.12.2023): pip install captum
Conda (📥 26K · ⏱️ 16.06.2023): conda install -c conda-forge captum

(🥇32 · ⭐ 2.2K) - Quickly build Explainable AI dashboards that show the inner..

GitHub (👨‍💻 21 · 🔀 320 · 📦 490 · 📋 240 - 14% open · ⏱️ 18.03.2024):
```
git clone https://github.com/oegedijk/explainerdashboard
```
PyPi (📥 81K / month · 📦 10 · ⏱️ 18.03.2024): pip install explainerdashboard
Conda (📥 46K · ⏱️ 18.03.2024): conda install -c conda-forge explainerdashboard

(🥇32 · ⭐ 1.9K) - Evaluate: A library for easily evaluating machine learning models..

GitHub (👨‍💻 130 · 🔀 220 · 📦 9.7K · 📋 310 - 57% open · ⏱️ 30.04.2024):
```
git clone https://github.com/huggingface/evaluate
```
PyPi (📥 2.7M / month · 📦 340 · ⏱️ 30.04.2024): pip install evaluate

(🥈30 · ⭐ 1.8K) - Python library for interactive topic model visualization. Port of..

GitHub (👨‍💻 43 · 🔀 360 · 📦 6.1K · 📋 190 - 40% open · ⏱️ 29.04.2024):
```
git clone https://github.com/bmabey/pyLDAvis
```
PyPi (📥 150K / month · 📦 99 · ⏱️ 23.04.2023): pip install pyldavis
Conda (📥 81K · ⏱️ 16.06.2023): conda install -c conda-forge pyldavis

(🥈30 · ⭐ 1.3K) - Responsible AI Toolbox is a suite of tools providing..

GitHub (👨‍💻 42 · 🔀 320 · 📦 100 · 📋 320 - 27% open · ⏱️ 21.05.2024):
```
git clone https://github.com/microsoft/responsible-ai-toolbox
```
PyPi (📥 12K / month · 📦 6 · ⏱️ 20.05.2024): pip install raiwidgets

(🥈29 · ⭐ 6.8K) - DoWhy is a Python library for causal inference that supports explicit..

GitHub (👨‍💻 90 · 🔀 900 · 📥 35 · 📦 380 · 📋 450 - 28% open · ⏱️ 05.06.2024):
```
git clone https://github.com/py-why/dowhy
```
PyPi (📥 45K / month · 📦 7 · ⏱️ 25.12.2023): pip install dowhy
Conda (📥 22K · ⏱️ 26.01.2024): conda install -c conda-forge dowhy

(🥈29 · ⭐ 2.7K) - Shapash: User-friendly Explainability and Interpretability to..

GitHub (👨‍💻 38 · 🔀 320 · 📦 160 · 📋 190 - 17% open · ⏱️ 06.05.2024):
```
git clone https://github.com/MAIF/shapash
```
PyPi (📥 6.9K / month · 📦 4 · ⏱️ 06.05.2024): pip install shapash

(🥈29 · ⭐ 1.8K) - A Python package to assess and improve fairness of machine..

GitHub (👨‍💻 82 · 🔀 390 · 📦 3 · 📋 460 - 36% open · ⏱️ 04.06.2024):
```
git clone https://github.com/fairlearn/fairlearn
```
PyPi (📥 230K / month · 📦 50 · ⏱️ 19.12.2023): pip install fairlearn
Conda (📥 33K · ⏱️ 20.12.2023): conda install -c conda-forge fairlearn

(🥈29 · ⭐ 1.2K) - Model analysis tools for TensorFlow.

GitHub (👨‍💻 57 · 🔀 270 · 📦 2 · 📋 88 - 37% open · ⏱️ 25.04.2024):
```
git clone https://github.com/tensorflow/model-analysis
```
PyPi (📥 77K / month · 📦 23 · ⏱️ 25.04.2024): pip install tensorflow-model-analysis

(🥈28 · ⭐ 2.9K) - A python library for decision tree visualization and model interpretation.

GitHub (👨‍💻 26 · 🔀 330 · 📦 1.2K · 📋 200 - 32% open · ⏱️ 06.01.2024):
```
git clone https://github.com/parrt/dtreeviz
```
PyPi (📥 140K / month · 📦 24 · ⏱️ 07.07.2022): pip install dtreeviz
Conda (📥 71K · ⏱️ 13.07.2023): conda install -c conda-forge dtreeviz

(🥈28 · ⭐ 2.3K) - A comprehensive set of fairness metrics for datasets and..

GitHub (👨‍💻 73 · 🔀 810 · 📦 420 · 📋 290 - 64% open · ⏱️ 08.04.2024):
```
git clone https://github.com/Trusted-AI/AIF360
```
PyPi (📥 31K / month · 📦 26 · ⏱️ 08.04.2024): pip install aif360
Conda (📥 11K · ⏱️ 09.04.2024): conda install -c conda-forge aif360

(🥈28 · ⭐ 1.3K) - Interpretable ML package for concise, transparent, and accurate..

GitHub (👨‍💻 24 · 🔀 120 · 📦 72 · 📋 85 - 37% open · ⏱️ 26.05.2024):
```
git clone https://github.com/csinva/imodels
```
PyPi (📥 65K / month · 📦 9 · ⏱️ 23.05.2024): pip install imodels

(🥈27 · ⭐ 4.2K · 💤) - Visual analysis and diagnostic tools to facilitate..

GitHub (👨‍💻 110 · 🔀 550 · 📋 700 - 13% open · ⏱️ 05.07.2023):
```
git clone https://github.com/DistrictDataLabs/yellowbrick
```
PyPi (📥 530K / month · 📦 97 · ⏱️ 21.08.2022): pip install yellowbrick
Conda (📥 79K · ⏱️ 16.06.2023): conda install -c conda-forge yellowbrick

(🥈27 · ⭐ 3.4K) - The Learning Interpretability Tool: Interactively analyze ML models to..

GitHub (👨‍💻 36 · 🔀 340 · 📦 34 · 📋 180 - 53% open · ⏱️ 17.04.2024):
```
git clone https://github.com/PAIR-code/lit
```
PyPi (📥 3.4K / month · 📦 3 · ⏱️ 09.04.2024): pip install lit-nlp
Conda (📥 74K · ⏱️ 16.06.2023): conda install -c conda-forge lit-nlp

(🥉25 · ⭐ 2.2K) - A Python library that helps data scientists to infer..

GitHub (👨‍💻 40 · 🔀 250 · 📦 110 · 📋 140 - 16% open · ⏱️ 10.02.2024):
```
git clone https://github.com/quantumblacklabs/causalnex
```
PyPi (📥 2.1K / month · 📦 4 · ⏱️ 22.06.2023): pip install causalnex

(🥉25 · ⭐ 640) - Bias Auditing & Fair ML Toolkit.

GitHub (👨‍💻 21 · 🔀 110 · 📦 160 · 📋 100 - 54% open · ⏱️ 13.05.2024):
```
git clone https://github.com/dssg/aequitas
```
PyPi (📥 22K / month · 📦 7 · ⏱️ 30.01.2024): pip install aequitas

(🥉24 · ⭐ 2K · 💤) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList.

GitHub (👨‍💻 15 · 🔀 200 · 📦 350 · 📋 94 - 11% open · ⏱️ 26.09.2023):
```
git clone https://github.com/marcotcr/checklist
```
PyPi (📥 1.3K / month · 📦 8 · ⏱️ 24.05.2021): pip install checklist
Conda (📥 7.2K · ⏱️ 16.06.2023): conda install -c conda-forge checklist

(🥉24 · ⭐ 1.2K · 💤) - A toolbox to iNNvestigate neural networks predictions!.

GitHub (👨‍💻 20 · 🔀 240 · 📥 100 · 📦 130 · 📋 260 - 21% open · ⏱️ 12.10.2023):
```
git clone https://github.com/albermax/innvestigate
```
PyPi (📥 800 / month · 📦 2 · ⏱️ 12.10.2023): pip install innvestigate

(🥉23 · ⭐ 1.5K) - Interpretability and explainability of data and..

GitHub (👨‍💻 41 · 🔀 300 · 📦 90 · 📋 84 - 64% open · ⏱️ 05.03.2024):
```
git clone https://github.com/Trusted-AI/AIX360
```
PyPi (📥 490 / month · 📦 1 · ⏱️ 31.07.2023): pip install aix360

(🥉23 · ⭐ 1K · 💤) - Layers Outputs and Gradients in Keras. Made easy.

GitHub (👨‍💻 16 · 🔀 180 · 📦 210 · 📋 89 - 3% open · ⏱️ 17.11.2023):
```
git clone https://github.com/philipperemy/keract
```
PyPi (📥 5K / month · 📦 9 · ⏱️ 25.09.2022): pip install keract

(🥉22 · ⭐ 890) - Source code/webpage/demos for the What-If Tool.

GitHub (👨‍💻 20 · 🔀 160 · 📦 2 · 📋 140 - 60% open · ⏱️ 01.02.2024):
```
git clone https://github.com/PAIR-code/what-if-tool
```
PyPi (📥 3.4K / month · 📦 6 · ⏱️ 12.10.2021): pip install witwidget
Conda (📥 2.2M · ⏱️ 16.06.2023): conda install -c conda-forge tensorboard-plugin-wit
npm (📥 1.1K / month · 📦 3 · ⏱️ 12.10.2021): npm install wit-widget

(🥉21 · ⭐ 1.9K · 💤) - Explain, analyze, and visualize NLP language models. Ecco creates..

GitHub (👨‍💻 11 · 🔀 160 · 📥 94 · 📦 28 · 📋 63 - 50% open · ⏱️ 10.08.2023):
```
git clone https://github.com/jalammar/ecco
```
PyPi (📥 300 / month · 📦 1 · ⏱️ 09.01.2022): pip install ecco
Conda (📥 4.7K · ⏱️ 16.06.2023): conda install -c conda-forge ecco

(🥉21 · ⭐ 1.3K) - Generate Diverse Counterfactual Explanations for any machine..

GitHub (👨‍💻 19 · 🔀 180 · 📋 170 - 45% open · ⏱️ 17.04.2024):
```
git clone https://github.com/interpretml/DiCE
```
PyPi (📥 55K / month · 📦 6 · ⏱️ 27.10.2023): pip install dice-ml

(🥉21 · ⭐ 400 · 💤) - A toolkit that streamlines and automates the..

GitHub (👨‍💻 22 · 🔀 83 · 📥 18 · 📦 23 · 📋 33 - 30% open · ⏱️ 26.07.2023):
```
git clone https://github.com/tensorflow/model-card-toolkit
```
PyPi (📥 1.2K / month · 📦 1 · ⏱️ 28.04.2022): pip install model-card-toolkit

(🥉19 · ⭐ 810) - Leave One Feature Out Importance.

GitHub (👨‍💻 6 · 🔀 82 · 📦 28 · 📋 26 - 11% open · ⏱️ 16.01.2024):
```
git clone https://github.com/aerdem4/lofo-importance
```
PyPi (📥 4.2K / month · 📦 4 · ⏱️ 16.01.2024): pip install lofo-importance

(🥉19 · ⭐ 330) - Tensorflows Fairness Evaluation and Visualization..

GitHub (👨‍💻 36 · 🔀 77 · 📋 35 - 74% open · ⏱️ 26.04.2024):
```
git clone https://github.com/tensorflow/fairness-indicators
```
PyPi (📥 780 / month · ⏱️ 26.04.2024): pip install fairness-indicators

(🥉15 · ⭐ 720 · 💤) - Visualization toolkit for neural networks in PyTorch! Demo –.

GitHub (👨‍💻 2 · 🔀 87 · 📦 17 · 📋 32 - 31% open · ⏱️ 21.09.2023):
```
git clone https://github.com/MisaOgura/flashtorch
```
PyPi (📥 130 / month · ⏱️ 29.05.2020): pip install flashtorch

(🥉15 · ⭐ 400 · 📉) - Explainable AI framework for data scientists. Explain & debug any..

GitHub (👨‍💻 5 · 🔀 53 · 📥 16 · 📋 39 - 25% open · ⏱️ 15.01.2024):
```
git clone https://github.com/explainX/explainx
```
PyPi (📥 1.1K / month · ⏱️ 04.02.2021): pip install explainx

(🥉14 · ⭐ 400) - A library that incorporates state-of-the-art explainers for..

GitHub (👨‍💻 18 · 🔀 67 · 📋 100 - 84% open · ⏱️ 05.02.2024):
```
git clone https://github.com/interpretml/interpret-text
```
PyPi (📥 97 / month · ⏱️ 07.12.2021): pip install interpret-text

Show 21 hidden projects…

(🥇33 · ⭐ 11K · 💀) - Lime: Explaining the predictions of any machine learning classifier.

(🥈29 · ⭐ 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &..

(🥈28 · ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to..

(🥈28 · ⭐ 2.3K) - Algorithms for explaining machine learning models.

(🥈27 · ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation.

(🥉26 · ⭐ 2.7K · 💀) - A library for debugging/inspecting machine learning classifiers and..

(🥉25 · ⭐ 4.6K · 💀) - A collection of infrastructure and tools for research in..

(🥉25 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras.

(🥉23 · ⭐ 1K · 💀) - Interpretability Methods for tf.keras models with Tensorflow..

(🥉22 · ⭐ 590 · 💀) - Code to compute permutation and drop-column..

(🥉21 · ⭐ 800 · 💀) - Public facing deeplift repo.

(🥉21 · ⭐ 740 · 💀) - Package for interpreting scikit-learns decision tree..

(🥉21 · ⭐ 510) - Quantus is an eXplainable AI toolkit for responsible evaluation of..

(🥉20 · ⭐ 620 · 💀) - Code for the TCAV ML interpretability project.

(🥉18 · ⭐ 1.1K · 💀) - XAI - An eXplainability toolbox for machine learning.

(🥉18 · ⭐ 430 · 💀) - Machine learning model evaluation made easy: plots,..

(🥉16 · ⭐ 790 · 💀) - Code for High-Precision Model-Agnostic Explanations paper.

(🥉14 · ⭐ 1.1K · 💤) - Python Library for Model Interpretation/Explanations.

(🥉12 · ⭐ 120 · 💀) - Tools for training explainable models using..

(🥉12 · ⭐ 85 · 💀) - Contextual AI adds explainability to different stages of..

(🥉12 · ⭐ 44) - Bias Detector is a python package for detecting bias in machine..

Vector Similarity Search (ANN)

Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search.

🔗 ( ⭐ 4.7K) - Benchmarks of approximate nearest neighbor libraries in Python.

(🥇41 · ⭐ 28K) - A cloud-native vector database, storage for next generation AI..

GitHub (👨‍💻 280 · 🔀 2.7K · 📥 230K · 📋 11K - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/milvus-io/milvus
```
PyPi (📥 550K / month · 📦 120 · ⏱️ 17.05.2024): pip install pymilvus
Docker Hub (📥 17M · ⭐ 45 · ⏱️ 06.06.2024): docker pull milvusdb/milvus

(🥇40 · ⭐ 29K) - A library for efficient similarity search and clustering of dense vectors.

GitHub (👨‍💻 180 · 🔀 3.4K · 📦 3.7K · 📋 2.4K - 18% open · ⏱️ 05.06.2024):
```
git clone https://github.com/facebookresearch/faiss
```
PyPi (📥 550K / month · 📦 120 · ⏱️ 17.05.2024): pip install pymilvus
Conda (📥 1.2M · ⏱️ 16.06.2023): conda install -c conda-forge faiss

(🥈35 · ⭐ 13K · 💤) - Approximate Nearest Neighbors in C++/Python optimized for memory..

GitHub (👨‍💻 88 · 🔀 1.1K · 📦 3.9K · 📋 400 - 14% open · ⏱️ 20.08.2023):
```
git clone https://github.com/spotify/annoy
```
PyPi (📥 1.1M / month · 📦 190 · ⏱️ 14.06.2023): pip install annoy
Conda (📥 420K · ⏱️ 02.05.2024): conda install -c conda-forge python-annoy

(🥈32 · ⭐ 4.1K) - Header-only C++/python library for fast approximate nearest neighbors.

GitHub (👨‍💻 72 · 🔀 590 · 📦 6.5K · 📋 370 - 57% open · ⏱️ 03.12.2023):
```
git clone https://github.com/nmslib/hnswlib
```
PyPi (📥 850K / month · 📦 120 · ⏱️ 03.12.2023): pip install hnswlib
Conda (📥 170K · ⏱️ 27.09.2023): conda install -c conda-forge hnswlib

(🥉30 · ⭐ 1.8K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in..

GitHub (👨‍💻 36 · 🔀 100 · 📥 1.3K · 📦 80 · 📋 120 - 34% open · ⏱️ 29.04.2024):
```
git clone https://github.com/unum-cloud/usearch
```
PyPi (📥 63K / month · 📦 6 · ⏱️ 29.04.2024): pip install usearch
npm (📥 6K / month · 📦 14 · ⏱️ 10.04.2024): npm install usearch
Docker Hub (📥 75 · ⭐ 1 · ⏱️ 29.04.2024): docker pull unum/usearch

(🥉29 · ⭐ 860) - A Python nearest neighbor descent for approximate nearest neighbors.

GitHub (👨‍💻 29 · 🔀 100 · 📦 6.6K · 📋 140 - 52% open · ⏱️ 15.05.2024):
```
git clone https://github.com/lmcinnes/pynndescent
```
PyPi (📥 1.5M / month · 📦 140 · ⏱️ 29.03.2024): pip install pynndescent
Conda (📥 1.9M · ⏱️ 29.03.2024): conda install -c conda-forge pynndescent

(🥉22 · ⭐ 1.2K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-..

GitHub (👨‍💻 14 · 🔀 110 · 📋 130 - 12% open · ⏱️ 13.05.2024):
```
git clone https://github.com/yahoojapan/NGT
```
PyPi (📥 5.1K / month · 📦 8 · ⏱️ 06.12.2023): pip install ngt

(🥉19 · ⭐ 570 · 💤) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs..

GitHub (👨‍💻 20 · 🔀 75 · 📦 31 · 📋 35 - 37% open · ⏱️ 27.06.2023):
```
git clone https://github.com/kakao/n2
```
PyPi (📥 230 / month · 📦 4 · ⏱️ 16.10.2020): pip install n2

Show 4 hidden projects…

(🥈31 · ⭐ 3.3K · 💀) - Non-Metric Space Library (NMSLIB): An efficient similarity search..

(🥉22 · ⭐ 1.6K · 💀) - A fast, efficient universal vector embedding utility package.

(🥉20 · ⭐ 760 · 💀) - Python framework for fast (approximated) nearest neighbour search in..

(🥉11 · ⭐ 920 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!.

Probabilistics & Statistics

Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics.

(🥇41 · ⭐ 8.2K) - Bayesian Modeling and Probabilistic Programming in Python.

GitHub (👨‍💻 490 · 🔀 1.9K · 📥 1.9K · 📦 3.4K · 📋 3.3K - 8% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pymc-devs/pymc
```
PyPi (📥 900K / month · 📦 190 · ⏱️ 31.05.2024): pip install pymc3
Conda (📥 570K · ⏱️ 02.06.2024): conda install -c conda-forge pymc3

(🥇38 · ⭐ 4.1K) - Probabilistic reasoning and statistical analysis in..

GitHub (👨‍💻 490 · 🔀 1.1K · 📋 1.4K - 47% open · ⏱️ 24.05.2024):
```
git clone https://github.com/tensorflow/probability
```
PyPi (📥 3.3M / month · 📦 570 · ⏱️ 12.03.2024): pip install tensorflow-probability
Conda (📥 130K · ⏱️ 27.05.2024): conda install -c conda-forge tensorflow-probability

(🥇34 · ⭐ 8.4K) - Deep universal probabilistic programming with Python and PyTorch.

GitHub (👨‍💻 160 · 🔀 990 · 📋 1.1K - 23% open · ⏱️ 01.06.2024):
```
git clone https://github.com/pyro-ppl/pyro
```
PyPi (📥 290K / month · 📦 180 · ⏱️ 02.06.2024): pip install pyro-ppl
Conda (📥 170K · ⏱️ 03.06.2024): conda install -c conda-forge pyro-ppl

(🥈32 · ⭐ 2.6K) - Python Library for learning (Structure and Parameter), inference..

GitHub (👨‍💻 130 · 🔀 690 · 📥 360 · 📦 1K · 📋 900 - 30% open · ⏱️ 01.06.2024):
```
git clone https://github.com/pgmpy/pgmpy
```
PyPi (📥 52K / month · 📦 43 · ⏱️ 08.03.2024): pip install pgmpy

(🥈31 · ⭐ 3.4K) - A highly efficient implementation of Gaussian Processes in PyTorch.

GitHub (👨‍💻 130 · 🔀 540 · 📦 2.1K · 📋 1.3K - 26% open · ⏱️ 22.04.2024):
```
git clone https://github.com/cornellius-gp/gpytorch
```
PyPi (📥 240K / month · 📦 150 · ⏱️ 02.06.2023): pip install gpytorch
Conda (📥 160K · ⏱️ 11.08.2023): conda install -c conda-forge gpytorch

(🥈31 · ⭐ 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC.

GitHub (👨‍💻 74 · 🔀 430 · 📦 2.4K · 📋 300 - 18% open · ⏱️ 02.05.2024):
```
git clone https://github.com/dfm/emcee
```
PyPi (📥 130K / month · 📦 390 · ⏱️ 19.04.2024): pip install emcee
Conda (📥 340K · ⏱️ 22.04.2024): conda install -c conda-forge emcee

(🥈31 · ⭐ 930) - Describing statistical models in Python using symbolic formulas.

GitHub (👨‍💻 19 · 🔀 100 · 📦 97K · 📋 150 - 47% open · ⏱️ 04.01.2024):
```
git clone https://github.com/pydata/patsy
```
PyPi (📥 15M / month · 📦 480 · ⏱️ 04.01.2024): pip install patsy
Conda (📥 11M · ⏱️ 05.01.2024): conda install -c conda-forge patsy

(🥈31 · ⭐ 840) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and..

GitHub (👨‍💻 46 · 🔀 230 · 📦 1.1K · 📋 320 - 15% open · ⏱️ 22.04.2024):
```
git clone https://github.com/SALib/SALib
```
PyPi (📥 160K / month · 📦 120 · ⏱️ 22.04.2024): pip install salib
Conda (📥 160K · ⏱️ 22.04.2024): conda install -c conda-forge salib

(🥉30 · ⭐ 3.3K) - Fast, flexible and easy to use probabilistic modelling in Python.

GitHub (👨‍💻 73 · 🔀 570 · 📦 1.1K · 📋 760 - 6% open · ⏱️ 11.03.2024):
```
git clone https://github.com/jmschrei/pomegranate
```
PyPi (📥 28K / month · 📦 54 · ⏱️ 11.03.2024): pip install pomegranate
Conda (📥 150K · ⏱️ 10.12.2023): conda install -c conda-forge pomegranate

(🥉30 · ⭐ 3K) - Hidden Markov Models in Python, with scikit-learn like API.

GitHub (👨‍💻 48 · 🔀 740 · 📦 2.6K · 📋 440 - 14% open · ⏱️ 05.04.2024):
```
git clone https://github.com/hmmlearn/hmmlearn
```
PyPi (📥 210K / month · 📦 79 · ⏱️ 02.03.2024): pip install hmmlearn
Conda (📥 230K · ⏱️ 22.05.2024): conda install -c conda-forge hmmlearn

(🥉30 · ⭐ 1.8K) - Gaussian processes in TensorFlow.

GitHub (👨‍💻 84 · 🔀 440 · 📦 660 · 📋 830 - 17% open · ⏱️ 06.05.2024):
```
git clone https://github.com/GPflow/GPflow
```
PyPi (📥 62K / month · 📦 37 · ⏱️ 07.02.2024): pip install gpflow
Conda (📥 27K · ⏱️ 16.06.2023): conda install -c conda-forge gpflow

(🥉29 · ⭐ 320) - PyStan, a Python interface to Stan, a platform for statistical modeling…

GitHub (👨‍💻 14 · 🔀 58 · 📦 9.8K · 📋 200 - 6% open · ⏱️ 12.04.2024):
```
git clone https://github.com/stan-dev/pystan
```
PyPi (📥 2M / month · 📦 160 · ⏱️ 12.04.2024): pip install pystan
Conda (📥 2.8M · ⏱️ 16.06.2023): conda install -c conda-forge pystan

(🥉26 · ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented design..

GitHub (👨‍💻 20 · 🔀 140 · 📦 57 · 📋 400 - 12% open · ⏱️ 31.03.2024):
```
git clone https://github.com/uber/orbit
```
PyPi (📥 21K / month · 📦 1 · ⏱️ 01.04.2024): pip install orbit-ml

(🥉25 · ⭐ 1K) - BAyesian Model-Building Interface (Bambi) in Python.

GitHub (👨‍💻 37 · 🔀 120 · 📦 120 · 📋 400 - 18% open · ⏱️ 02.06.2024):
```
git clone https://github.com/bambinos/bambi
```
PyPi (📥 21K / month · 📦 10 · ⏱️ 25.10.2023): pip install bambi
Conda (📥 32K · ⏱️ 27.10.2023): conda install -c conda-forge bambi

(🥉24 · ⭐ 840) - Bayesian active learning library for research and industrial usecases.

GitHub (👨‍💻 23 · 🔀 83 · 📦 56 · 📋 110 - 21% open · ⏱️ 28.05.2024):
```
git clone https://github.com/baal-org/baal
```
PyPi (📥 1.3K / month · 📦 1 · ⏱️ 04.04.2024): pip install baal
Conda (📥 8.5K · ⏱️ 12.06.2023): conda install -c conda-forge baal

(🥉24 · ⭐ 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python.

GitHub (👨‍💻 14 · 🔀 39 · 📥 46 · 📦 720 · 📋 54 - 11% open · ⏱️ 18.02.2024):
```
git clone https://github.com/maximtrp/scikit-posthocs
```
PyPi (📥 98K / month · 📦 46 · ⏱️ 18.02.2024): pip install scikit-posthocs
Conda (📥 930K · ⏱️ 19.02.2024): conda install -c conda-forge scikit-posthocs

Show 7 hidden projects…

(🥈31 · ⭐ 4.9K · 💀) - Technical Analysis Indicators - Pandas TA is an easy to use..

(🥈31 · ⭐ 3.2K · 💀) - Python Kalman filtering and optimal estimation library. Implements..

(🥉30 · ⭐ 1.6K) - Statistical package in Python based on Pandas.

(🥉27 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep..

(🥉20 · ⭐ 540 · 💀) - Bayesian inference in HSMMs and HMMs.

(🥉19 · ⭐ 230 · 💤) - Functional tensors for probabilistic programming.

(🥉15 · ⭐ 2.2K · 💀) - A probabilistic programming library for Bayesian deep learning,..

Adversarial Robustness

Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples.

(🥇34 · ⭐ 4.6K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning..

GitHub (👨‍💻 140 · 🔀 1.1K · 📦 530 · 📋 900 - 16% open · ⏱️ 06.05.2024):
```
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
```
PyPi (📥 24K / month · 📦 11 · ⏱️ 17.02.2024): pip install adversarial-robustness-toolbox
Conda (📥 40K · ⏱️ 18.02.2024): conda install -c conda-forge adversarial-robustness-toolbox

(🥈29 · ⭐ 2.8K) - TextAttack is a Python framework for adversarial attacks, data..

GitHub (👨‍💻 65 · 🔀 370 · 📦 260 · 📋 270 - 19% open · ⏱️ 31.03.2024):
```
git clone https://github.com/QData/TextAttack
```
PyPi (📥 3.2K / month · 📦 6 · ⏱️ 11.03.2024): pip install textattack
Conda (📥 7.6K · ⏱️ 16.06.2023): conda install -c conda-forge textattack

(🥈29 · ⭐ 2.7K) - A Python toolbox to create adversarial examples that fool neural networks..

GitHub (👨‍💻 35 · 🔀 420 · 📦 580 · 📋 370 - 5% open · ⏱️ 04.03.2024):
```
git clone https://github.com/bethgelab/foolbox
```
PyPi (📥 2.6K / month · 📦 14 · ⏱️ 04.03.2024): pip install foolbox
Conda (📥 13K · ⏱️ 16.06.2023): conda install -c conda-forge foolbox

Show 6 hidden projects…

(🥈30 · ⭐ 6.1K · 💀) - An adversarial example library for constructing attacks,..

(🥉22 · ⭐ 1.3K · 💀) - A Toolbox for Adversarial Robustness Research.

(🥉18 · ⭐ 1.4K · 💀) - Advbox is a toolbox to generate adversarial examples that fool..

(🥉18 · ⭐ 890 · 💀) - A library for experimenting with, training and evaluating neural..

(🥉16 · ⭐ 630 · 💀) - Unified Multilingual Robustness Evaluation Toolkit for..

(🥉15 · ⭐ 390 · 💀) - Tool to generate adversarial text examples and test machine..

GPU & Accelerator Utilities

Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks.

(🥇37 · ⭐ 7.9K) - NumPy & SciPy for GPU.

GitHub (👨‍💻 370 · 🔀 780 · 📥 180K · 📦 2.1K · 📋 2.2K - 25% open · ⏱️ 06.06.2024):
```
git clone https://github.com/cupy/cupy
```
PyPi (📥 23K / month · 📦 220 · ⏱️ 19.04.2024): pip install cupy
Conda (📥 3.7M · ⏱️ 29.04.2024): conda install -c conda-forge cupy
Docker Hub (📥 63K · ⭐ 13 · ⏱️ 19.04.2024): docker pull cupy/cupy

(🥇34 · ⭐ 2.2K) - Accelerate training and inference of Transformers and Diffusers with..

GitHub (👨‍💻 110 · 🔀 380 · 📦 2.6K · 📋 750 - 47% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/optimum
```
PyPi (📥 930K / month · 📦 140 · ⏱️ 29.05.2024): pip install optimum
Conda (📥 15K · ⏱️ 29.05.2024): conda install -c conda-forge optimum

(🥈33 · ⭐ 7.8K) - cuDF - GPU DataFrame Library.

GitHub (👨‍💻 290 · 🔀 850 · 📦 55 · 📋 6.4K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/rapidsai/cudf
```
PyPi (📥 3.5K / month · 📦 17 · ⏱️ 01.06.2020): pip install cudf

(🥈31 · ⭐ 4K) - cuML - RAPIDS Machine Learning Library.

GitHub (👨‍💻 170 · 🔀 510 · 📋 2.5K - 35% open · ⏱️ 06.06.2024):
```
git clone https://github.com/rapidsai/cuml
```
PyPi (📥 3.4K / month · 📦 13 · ⏱️ 01.06.2020): pip install cuml

(🥈31 · ⭐ 1.8K) - CUDA integration for Python, plus shiny features.

GitHub (👨‍💻 82 · 🔀 280 · 📦 2.9K · 📋 260 - 30% open · ⏱️ 08.05.2024):
```
git clone https://github.com/inducer/pycuda
```
PyPi (📥 53K / month · 📦 140 · ⏱️ 03.01.2024): pip install pycuda
Conda (📥 350K · ⏱️ 06.01.2024): conda install -c conda-forge pycuda

(🥈30 · ⭐ 8.1K) - A PyTorch Extension: Tools for easy mixed precision and distributed..

GitHub (👨‍💻 130 · 🔀 1.3K · 📦 2.5K · 📋 1.2K - 57% open · ⏱️ 26.04.2024):
```
git clone https://github.com/NVIDIA/apex
```
Conda (📥 220K · ⏱️ 17.05.2024): conda install -c conda-forge nvidia-apex

(🥈29 · ⭐ 3.9K) - A simple command-line utility for querying and monitoring GPU status.

GitHub (👨‍💻 17 · 🔀 270 · 📦 5.4K · 📋 120 - 22% open · ⏱️ 12.01.2024):
```
git clone https://github.com/wookayin/gpustat
```
PyPi (📥 780K / month · 📦 140 · ⏱️ 22.08.2023): pip install gpustat
Conda (📥 290K · ⏱️ 23.08.2023): conda install -c conda-forge gpustat

(🥈27 · ⭐ 4.4K) - ArrayFire: a general purpose GPU library.

GitHub (👨‍💻 90 · 🔀 530 · 📥 6.2K · 📋 1.7K - 20% open · ⏱️ 04.04.2024):
```
git clone https://github.com/arrayfire/arrayfire
```
PyPi (📥 1.8K / month · 📦 10 · ⏱️ 22.02.2022): pip install arrayfire

(🥈27 · ⭐ 1.6K) - cuGraph - RAPIDS Graph Analytics Library.

GitHub (👨‍💻 120 · 🔀 290 · 📦 2 · 📋 1.8K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/rapidsai/cugraph
```
PyPi (📥 270 / month · 📦 4 · ⏱️ 01.06.2020): pip install cugraph
Conda (📥 20K · ⏱️ 16.06.2023): conda install -c conda-forge libcugraph

(🥉25 · ⭐ 5K) - A GPU-accelerated library containing highly optimized building blocks and..

GitHub (👨‍💻 92 · 🔀 610 · 📋 1.6K - 13% open · ⏱️ 06.06.2024):
```
git clone https://github.com/NVIDIA/DALI
```

(🥉24 · ⭐ 970 · 💤) - Python interface to GPU-powered libraries.

GitHub (👨‍💻 44 · 🔀 170 · 📦 300 · 📋 220 - 23% open · ⏱️ 15.10.2023):
```
git clone https://github.com/lebedov/scikit-cuda
```
PyPi (📥 790 / month · 📦 23 · ⏱️ 27.05.2019): pip install scikit-cuda

(🥉21 · ⭐ 1.5K) - General purpose GPU compute framework built on Vulkan to..

GitHub (👨‍💻 26 · 🔀 120 · 📥 500 · 📋 210 - 33% open · ⏱️ 29.05.2024):
```
git clone https://github.com/KomputeProject/kompute
```
PyPi (📥 120 / month · ⏱️ 20.01.2024): pip install kp

(🥉20 · ⭐ 700) - NVIDIA Merlin is an open source library providing end-to-end GPU-..

GitHub (👨‍💻 32 · 🔀 110 · 📋 450 - 45% open · ⏱️ 25.04.2024):
```
git clone https://github.com/NVIDIA-Merlin/Merlin
```
PyPi (📥 7.4K / month · 📦 1 · ⏱️ 29.08.2023): pip install merlin-core

(🥉16 · ⭐ 710 · 💤) - GPU accelerated signal processing.

GitHub (👨‍💻 46 · 🔀 120 · 📋 160 - 16% open · ⏱️ 21.09.2023):
```
git clone https://github.com/rapidsai/cusignal
```

Show 6 hidden projects…

(🥉24 · ⭐ 1.1K · 💀) - A Python module for getting the GPU status from NVIDA GPUs using..

(🥉22 · ⭐ 230 · 💀) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside..

(🥉20 · ⭐ 1.9K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for..

(🥉18 · ⭐ 130 · 💀) - Python 3 Bindings for the NVIDIA Management Library.

(🥉16 · ⭐ 200) - Automatic GPU+CPU memory profiling, re-use and memory..

(🥉15 · ⭐ 680 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch.

Tensorflow Utilities

Libraries that extend TensorFlow with additional capabilities.

(🥇40 · ⭐ 4.2K) - TFDS is a collection of datasets ready to use with..

GitHub (👨‍💻 310 · 🔀 1.5K · 📦 18K · 📋 1.4K - 48% open · ⏱️ 06.06.2024):
```
git clone https://github.com/tensorflow/datasets
```
PyPi (📥 3.6M / month · 📦 310 · ⏱️ 05.06.2024): pip install tensorflow-datasets
Conda (📥 30K · ⏱️ 16.06.2023): conda install -c conda-forge tensorflow-datasets

(🥇35 · ⭐ 3.4K) - A library for transfer learning by reusing parts of..

GitHub (👨‍💻 110 · 🔀 1.7K · 📋 700 - 1% open · ⏱️ 05.06.2024):
```
git clone https://github.com/tensorflow/hub
```
PyPi (📥 4.8M / month · 📦 290 · ⏱️ 30.01.2024): pip install tensorflow-hub
Conda (📥 98K · ⏱️ 07.05.2024): conda install -c conda-forge tensorflow-hub

(🥈33 · ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by..

GitHub (👨‍💻 210 · 🔀 610 · 📦 15K · 📋 990 - 8% open · ⏱️ 15.04.2024):
```
git clone https://github.com/tensorflow/addons
```
PyPi (📥 1M / month · 📦 220 · ⏱️ 28.11.2023): pip install tensorflow-addons

(🥈33 · ⭐ 1.5K) - A toolkit to optimize ML models for deployment for..

GitHub (👨‍💻 85 · 🔀 320 · 📦 3.8K · 📋 380 - 56% open · ⏱️ 02.05.2024):
```
git clone https://github.com/tensorflow/model-optimization
```
PyPi (📥 840K / month · 📦 43 · ⏱️ 08.02.2024): pip install tensorflow-model-optimization

(🥈32 · ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines.

GitHub (👨‍💻 190 · 🔀 690 · 📋 1.1K - 21% open · ⏱️ 06.06.2024):
```
git clone https://github.com/tensorflow/tfx
```
PyPi (📥 69K / month · 📦 17 · ⏱️ 13.05.2024): pip install tfx

(🥈32 · ⭐ 690) - Dataset, streaming, and file system extensions..

GitHub (👨‍💻 110 · 🔀 280 · 📋 650 - 44% open · ⏱️ 24.05.2024):
```
git clone https://github.com/tensorflow/io
```
PyPi (📥 3.3M / month · 📦 60 · ⏱️ 01.05.2024): pip install tensorflow-io

(🥉31 · ⭐ 980) - Input pipeline framework.

GitHub (👨‍💻 28 · 🔀 210 · 📦 1.8K · 📋 220 - 20% open · ⏱️ 30.04.2024):
```
git clone https://github.com/tensorflow/transform
```
PyPi (📥 880K / month · 📦 17 · ⏱️ 24.04.2024): pip install tensorflow-transform

(🥉25 · ⭐ 980 · 💤) - Training neural models with structured signals.

GitHub (👨‍💻 38 · 🔀 190 · 📦 450 · 📋 69 - 1% open · ⏱️ 20.09.2023):
```
git clone https://github.com/tensorflow/neural-structured-learning
```
PyPi (📥 17K / month · 📦 3 · ⏱️ 29.07.2022): pip install neural-structured-learning

(🥉24 · ⭐ 370) - The TensorFlow Cloud repository provides APIs that..

GitHub (👨‍💻 27 · 🔀 84 · 📦 400 · 📋 100 - 73% open · ⏱️ 25.02.2024):
```
git clone https://github.com/tensorflow/cloud
```
PyPi (📥 44K / month · 📦 7 · ⏱️ 17.06.2021): pip install tensorflow-cloud

(🥉22 · ⭐ 830) - Data compression in TensorFlow.

GitHub (👨‍💻 21 · 🔀 250 · 📋 100 - 9% open · ⏱️ 20.05.2024):
```
git clone https://github.com/tensorflow/compression
```
PyPi (📥 4.2K / month · 📦 2 · ⏱️ 02.02.2024): pip install tensorflow-compression

(🥉21 · ⭐ 930) - Framework-agnostic implementation for state-of-the-art saliency..

GitHub (👨‍💻 18 · 🔀 190 · 📦 85 · 📋 39 - 30% open · ⏱️ 20.03.2024):
```
git clone https://github.com/PAIR-code/saliency
```
PyPi (📥 5.6K / month · 📦 8 · ⏱️ 20.03.2024): pip install saliency

Show 5 hidden projects…

(🥈32 · ⭐ 15K · 💀) - Library of deep learning models and datasets designed..

(🥉28 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and..

(🥉27 · ⭐ 2.1K · 💀) - Implementation of EfficientNet model. Keras and..

(🥉20 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in..

(🥉18 · ⭐ 780 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine.

Jax Utilities

Libraries that extend Jax with additional capabilities.

(🥇30 · ⭐ 1.9K) - Elegant easy-to-use neural networks + scientific computing in..

GitHub (👨‍💻 52 · 🔀 130 · 📦 580 · 📋 360 - 33% open · ⏱️ 29.05.2024):
```
git clone https://github.com/patrick-kidger/equinox
```
PyPi (📥 240K / month · 📦 130 · ⏱️ 14.04.2024): pip install equinox

(🥉19 · ⭐ 790 · 💤) - EvoJAX: Hardware-accelerated Neuroevolution.

GitHub (👨‍💻 14 · 🔀 71 · 📦 21 · 📋 33 - 48% open · ⏱️ 29.08.2023):
```
git clone https://github.com/google/evojax
```
PyPi (📥 820 / month · 📦 5 · ⏱️ 29.08.2023): pip install evojax
Conda (📥 25K · ⏱️ 29.08.2023): conda install -c conda-forge evojax

Show 1 hidden projects…

(🥉11 · ⭐ 110 · 💤) - A JAX-based research framework for writing differentiable..

Sklearn Utilities

Libraries that extend scikit-learn with additional capabilities.

(🥇37 · ⭐ 6.7K) - A Python Package to Tackle the Curse of Imbalanced..

GitHub (👨‍💻 84 · 🔀 1.3K · 📦 28K · 📋 600 - 6% open · ⏱️ 28.05.2024):
```
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
PyPi (📥 12M / month · 📦 400 · ⏱️ 28.05.2024): pip install imbalanced-learn
Conda (📥 570K · ⏱️ 28.05.2024): conda install -c conda-forge imbalanced-learn

(🥇35 · ⭐ 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way..

GitHub (👨‍💻 79 · 🔀 170 · 📦 11K · 📋 250 - 28% open · ⏱️ 06.06.2024):
```
git clone https://github.com/intel/scikit-learn-intelex
```
PyPi (📥 100K / month · 📦 42 · ⏱️ 13.05.2024): pip install scikit-learn-intelex
Conda (📥 270K · ⏱️ 19.04.2024): conda install -c conda-forge scikit-learn-intelex

(🥈33 · ⭐ 4.8K) - A library of extension and helper modules for Pythons data..

GitHub (👨‍💻 110 · 🔀 840 · 📦 14K · 📋 480 - 29% open · ⏱️ 31.03.2024):
```
git clone https://github.com/rasbt/mlxtend
```
PyPi (📥 630K / month · 📦 160 · ⏱️ 05.01.2024): pip install mlxtend
Conda (📥 310K · ⏱️ 05.01.2024): conda install -c conda-forge mlxtend

(🥈31 · ⭐ 2.4K) - A library of sklearn compatible categorical variable..

GitHub (👨‍💻 70 · 🔀 390 · 📦 1.8K · 📋 290 - 15% open · ⏱️ 09.04.2024):
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
PyPi (📥 1.6M / month · 📦 240 · ⏱️ 29.10.2023): pip install category_encoders
Conda (📥 260K · ⏱️ 30.10.2023): conda install -c conda-forge category_encoders

(🥈28 · ⭐ 1.2K) - Extra blocks for scikit-learn pipelines.

GitHub (👨‍💻 67 · 🔀 110 · 📦 150 · 📋 310 - 11% open · ⏱️ 26.05.2024):
```
git clone https://github.com/koaning/scikit-lego
```
PyPi (📥 22K / month · 📦 11 · ⏱️ 25.05.2024): pip install scikit-lego
Conda (📥 49K · ⏱️ 04.06.2024): conda install -c conda-forge scikit-lego

(🥉25 · ⭐ 5K · 💤) - Genetic Algorithm, Particle Swarm Optimization, Simulated..

GitHub (👨‍💻 20 · 🔀 960 · 📦 200 · 📋 180 - 36% open · ⏱️ 19.11.2023):
```
git clone https://github.com/guofei9987/scikit-opt
```
PyPi (📥 3.9K / month · 📦 9 · ⏱️ 14.01.2022): pip install scikit-opt

(🥉21 · ⭐ 470) - A Python library for dynamic classifier and ensemble selection.

GitHub (👨‍💻 17 · 🔀 100 · 📦 47 · 📋 160 - 11% open · ⏱️ 15.04.2024):
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
PyPi (📥 990 / month · 📦 3 · ⏱️ 12.04.2024): pip install deslib

(🥉18 · ⭐ 500) - Topological Data Analysis for Python.

GitHub (👨‍💻 6 · 🔀 51 · 📦 56 · 📋 22 - 54% open · ⏱️ 30.03.2024):
```
git clone https://github.com/scikit-tda/scikit-tda
```
PyPi (📥 2.8K / month · ⏱️ 03.08.2021): pip install scikit-tda

Show 11 hidden projects…

(🥈29 · ⭐ 1.1K) - Survival analysis built on top of scikit-learn.

(🥈27 · ⭐ 910 · 💀) - A scikit-learn based module for multi-label et. al…

(🥈26 · ⭐ 1.2K · 💀) - Multivariate imputation and matrix completion..

(🥈26 · ⭐ 420 · 💀) - scikit-learn inspired API for CRFsuite.

(🥉22 · ⭐ 1.7K · 💀) - Large-scale linear classification, regression and..

(🥉21 · ⭐ 830 · 💀) - scikit-learn cross validators for iterative..

(🥉21 · ⭐ 640 · 💀) - (AAAI 20) A Python Toolbox for Machine Learning Model.. xgboost

(🥉21 · ⭐ 600 · 💀) - machine learning with logical rules in Python.

(🥉18 · ⭐ 200) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,..

(🥉17 · ⭐ 240 · 💤) - Scikit-learn compatible estimation of general graphical models.

(🥉15 · ⭐ 130) - Data Analysis Baseline Library.

Pytorch Utilities

Libraries that extend Pytorch with additional capabilities.

(🥇40 · ⭐ 7.2K) - A simple way to launch, train, and use PyTorch models on..

GitHub (👨‍💻 250 · 🔀 820 · 📦 39K · 📋 1.4K - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/accelerate
```
PyPi (📥 7.7M / month · 📦 1.1K · ⏱️ 10.05.2024): pip install accelerate
Conda (📥 140K · ⏱️ 11.05.2024): conda install -c conda-forge accelerate

(🥇33 · ⭐ 25K) - You like pytorch? You like micrograd? You love tinygrad!.

GitHub (👨‍💻 310 · 🔀 2.7K · 📦 69 · 📋 620 - 14% open · ⏱️ 06.06.2024):
```
git clone https://github.com/geohot/tinygrad
```

(🥇33 · ⭐ 5.8K) - The easiest way to use deep metric learning in your application. Modular,..

GitHub (👨‍💻 41 · 🔀 650 · 📦 1.5K · 📋 500 - 11% open · ⏱️ 01.04.2024):
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
PyPi (📥 460K / month · 📦 33 · ⏱️ 01.04.2024): pip install pytorch-metric-learning
Conda (📥 11K · ⏱️ 16.06.2023): conda install -c metric-learning pytorch-metric-learning

(🥇31 · ⭐ 5.3K · 💤) - Differentiable ODE solvers with full GPU support and..

GitHub (👨‍💻 21 · 🔀 900 · 📦 3.4K · 📋 220 - 32% open · ⏱️ 19.10.2023):
```
git clone https://github.com/rtqichen/torchdiffeq
```
PyPi (📥 690K / month · 📦 89 · ⏱️ 29.05.2024): pip install torchdiffeq
Conda (📥 16K · ⏱️ 16.06.2023): conda install -c conda-forge torchdiffeq

(🥈29 · ⭐ 1.5K · 💤) - Differentiable SDE solvers with GPU support and efficient..

GitHub (👨‍💻 8 · 🔀 190 · 📦 3.1K · 📋 76 - 31% open · ⏱️ 26.09.2023):
```
git clone https://github.com/google-research/torchsde
```
PyPi (📥 1.3M / month · 📦 30 · ⏱️ 26.09.2023): pip install torchsde
Conda (📥 22K · ⏱️ 16.06.2023): conda install -c conda-forge torchsde

(🥈28 · ⭐ 3K · 💤) - torch-optimizer – collection of optimizers for..

GitHub (👨‍💻 26 · 🔀 290 · 📦 1.2K · 📋 83 - 63% open · ⏱️ 20.06.2023):
```
git clone https://github.com/jettify/pytorch-optimizer
```
PyPi (📥 120K / month · 📦 84 · ⏱️ 31.10.2021): pip install torch_optimizer
Conda (📥 10K · ⏱️ 16.06.2023): conda install -c conda-forge torch-optimizer

(🥈27 · ⭐ 1.7K · 💤) - Your PyTorch AI Factory - Flash enables you to easily..

GitHub (👨‍💻 87 · 🔀 210 · 📦 280 · 📋 520 - 4% open · ⏱️ 08.10.2023):
```
git clone https://github.com/Lightning-AI/lightning-flash
```
PyPi (📥 2K / month · 📦 5 · ⏱️ 11.05.2022): pip install lightning-flash
Conda (📥 19K · ⏱️ 04.07.2023): conda install -c conda-forge lightning-flash

(🥈26 · ⭐ 2.5K · 💤) - PyTorch implementation of TabNet paper :..

GitHub (👨‍💻 21 · 🔀 470 · 📋 330 - 15% open · ⏱️ 23.07.2023):
```
git clone https://github.com/dreamquark-ai/tabnet
```
PyPi (📥 39K / month · 📦 11 · ⏱️ 23.07.2023): pip install pytorch-tabnet
Conda (📥 6.8K · ⏱️ 20.12.2023): conda install -c conda-forge pytorch-tabnet

(🥈26 · ⭐ 1.5K) - PyTorch Extension Library of Optimized Scatter Operations.

GitHub (👨‍💻 30 · 🔀 180 · 📋 370 - 7% open · ⏱️ 27.05.2024):
```
git clone https://github.com/rusty1s/pytorch_scatter
```
PyPi (📥 37K / month · 📦 130 · ⏱️ 06.10.2023): pip install torch-scatter
Conda (📥 300K · ⏱️ 19.05.2024): conda install -c conda-forge pytorch_scatter

(🥉23 · ⭐ 960) - PyTorch Extension Library of Optimized Autograd Sparse..

GitHub (👨‍💻 45 · 🔀 140 · 📋 270 - 11% open · ⏱️ 29.04.2024):
```
git clone https://github.com/rusty1s/pytorch_sparse
```
PyPi (📥 25K / month · 📦 100 · ⏱️ 06.10.2023): pip install torch-sparse
Conda (📥 300K · ⏱️ 19.05.2024): conda install -c conda-forge pytorch_sparse

(🥉22 · ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle..

GitHub (👨‍💻 7 · 🔀 120 · 📥 17 · 📋 33 - 12% open · ⏱️ 18.04.2024):
```
git clone https://github.com/BloodAxe/pytorch-toolbelt
```
PyPi (📥 6.1K / month · 📦 7 · ⏱️ 27.06.2022): pip install pytorch_toolbelt

(🥉21 · ⭐ 2.1K · 💤) - Reformer, the efficient Transformer, in Pytorch.

GitHub (👨‍💻 11 · 🔀 250 · 📋 120 - 13% open · ⏱️ 21.06.2023):
```
git clone https://github.com/lucidrains/reformer-pytorch
```
PyPi (📥 11K / month · ⏱️ 06.11.2021): pip install reformer-pytorch

Show 20 hidden projects…

(🥈29 · ⭐ 9K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,..

(🥈27 · ⭐ 7.8K · 💀) - A PyTorch implementation of EfficientNet.

(🥈27 · ⭐ 4K · 💀) - Model summary in PyTorch similar to model.summary() in..

(🥈25 · ⭐ 1.6K · 💀) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,..

(🥉24 · ⭐ 1.6K · 💀) - higher is a pytorch library allowing users to obtain higher..

(🥉23 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).

(🥉23 · ⭐ 1.9K · 💀) - A collection of extensions and data-loaders for few-shot..

(🥉22 · ⭐ 1.6K · 💀) - pip install antialiased-cnns to improve stability and..

(🥉21 · ⭐ 8.6K · 💀) - A tiny scalar-valued autograd engine and a neural net library..

(🥉21 · ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD.

(🥉20 · ⭐ 3.1K · 💀) - A small package to create visualizations of PyTorch execution..

(🥉20 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to..

(🥉19 · ⭐ 1.1K · 💀) - An implementation of Performer, a linear attention-..

(🥉19 · ⭐ 570 · 💤) - A simplified framework and utilities for PyTorch.

(🥉18 · ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured..

(🥉17 · ⭐ 1.2K · 💀) - Tez is a super-simple and lightweight Trainer for PyTorch. It..

(🥉17 · ⭐ 760 · 💀) - The goal of this library is to generate more helpful..

(🥉16 · ⭐ 800 · 💀) - MADGRAD Optimization Method.

(🥉16 · ⭐ 400 · 💀) - High-level batteries-included neural network training library for..

(🥉15 · ⭐ 310 · 💀) - Drift Detection for your PyTorch Models.

Database Clients

Libraries for connecting to, operating, and querying databases.

🔗 ( ⭐ 3.5K) - Collection of database clients for python.

Others

(🥇51 · ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering.

GitHub (👨‍💻 1.6K · 🔀 5K · 📥 400K · 📦 1M · 📋 10K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/scipy/scipy
```
PyPi (📥 110M / month · 📦 42K · ⏱️ 30.05.2024): pip install scipy
Conda (📥 49M · ⏱️ 23.05.2024): conda install -c conda-forge scipy

(🥇47 · ⭐ 12K · 📉) - A computer algebra system written in pure Python.

GitHub (👨‍💻 1.3K · 🔀 4.3K · 📥 540K · 📦 140K · 📋 14K - 36% open · ⏱️ 06.06.2024):
```
git clone https://github.com/sympy/sympy
```
PyPi (📥 23M / month · 📦 3.1K · ⏱️ 06.06.2024): pip install sympy
Conda (📥 5.7M · ⏱️ 16.06.2023): conda install -c conda-forge sympy

(🥇46 · ⭐ 33K) - Streamlit A faster way to build and share data apps.

GitHub (👨‍💻 230 · 🔀 2.8K · 📦 400K · 📋 4.2K - 19% open · ⏱️ 06.06.2024):
```
git clone https://github.com/streamlit/streamlit
```
PyPi (📥 4.9M / month · 📦 2.3K · ⏱️ 23.05.2024): pip install streamlit

(🥇44 · ⭐ 30K) - Wrap UIs around any model, share with anyone.

GitHub (👨‍💻 330 · 🔀 2.2K · 📦 32K · 📋 4.3K - 11% open · ⏱️ 06.06.2024):
```
git clone https://github.com/gradio-app/gradio
```
PyPi (📥 7.5M / month · 📦 580 · ⏱️ 05.06.2024): pip install gradio

(🥇36 · ⭐ 11K) - Open-source simulator for autonomous driving research.

GitHub (👨‍💻 190 · 🔀 3.4K · 📦 720 · 📋 5.3K - 20% open · ⏱️ 05.06.2024):
```
git clone https://github.com/carla-simulator/carla
```
PyPi (📥 13K / month · 📦 7 · ⏱️ 14.11.2023): pip install carla

(🥇36 · ⭐ 5.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,..

GitHub (👨‍💻 240 · 🔀 1.6K · 📦 380 · 📋 1.8K - 32% open · ⏱️ 05.06.2024):
```
git clone https://github.com/deepchem/deepchem
```
PyPi (📥 24K / month · 📦 13 · ⏱️ 05.06.2024): pip install deepchem
Conda (📥 110K · ⏱️ 05.04.2024): conda install -c conda-forge deepchem

(🥇35 · ⭐ 8.1K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly..

GitHub (👨‍💻 53 · 🔀 1.3K · 📦 3.8K · 📋 370 - 60% open · ⏱️ 01.06.2024):
```
git clone https://github.com/yzhao062/pyod
```
PyPi (📥 680K / month · 📦 110 · ⏱️ 01.06.2024): pip install pyod
Conda (📥 100K · ⏱️ 01.06.2024): conda install -c conda-forge pyod

(🥇35 · ⭐ 2.2K) - PennyLane is a cross-platform Python library for quantum..

GitHub (👨‍💻 170 · 🔀 550 · 📥 78 · 📦 920 · 📋 1.3K - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/PennyLaneAI/PennyLane
```
PyPi (📥 51K / month · 📦 100 · ⏱️ 06.05.2024): pip install pennylane
Conda (📥 55K · ⏱️ 07.05.2024): conda install -c conda-forge pennylane

(🥇35 · ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of..

GitHub (👨‍💻 53 · 🔀 150 · 📦 3.3K · 📋 650 - 0% open · ⏱️ 27.05.2024):
```
git clone https://github.com/wireservice/agate
```
PyPi (📥 7.5M / month · 📦 47 · ⏱️ 27.05.2024): pip install agate
Conda (📥 180K · ⏱️ 31.05.2024): conda install -c conda-forge agate

(🥈33 · ⭐ 9K) - An open source multi-tool for exploring and publishing data.

GitHub (👨‍💻 78 · 🔀 640 · 📥 64 · 📦 1.3K · 📋 1.8K - 32% open · ⏱️ 22.04.2024):
```
git clone https://github.com/simonw/datasette
```
PyPi (📥 38K / month · 📦 390 · ⏱️ 13.03.2024): pip install datasette
Conda (📥 35K · ⏱️ 03.01.2024): conda install -c conda-forge datasette

(🥈33 · ⭐ 6.8K) - Efficiently computes derivatives of numpy code.

GitHub (👨‍💻 56 · 🔀 870 · 📦 8.3K · 📋 410 - 42% open · ⏱️ 25.05.2024):
```
git clone https://github.com/HIPS/autograd
```
PyPi (📥 1.3M / month · 📦 270 · ⏱️ 23.06.2023): pip install autograd
Conda (📥 430K · ⏱️ 26.06.2023): conda install -c conda-forge autograd

(🥈33 · ⭐ 2.7K) - A high performance implementation of HDBSCAN clustering.

GitHub (👨‍💻 89 · 🔀 490 · 📦 3.6K · 📋 520 - 67% open · ⏱️ 24.05.2024):
```
git clone https://github.com/scikit-learn-contrib/hdbscan
```
PyPi (📥 740K / month · 📦 300 · ⏱️ 24.05.2024): pip install hdbscan
Conda (📥 1.9M · ⏱️ 24.05.2024): conda install -c conda-forge hdbscan

(🥈33 · ⭐ 2K) - Ahead of Time compiler for numeric kernels.

GitHub (👨‍💻 72 · 🔀 190 · 📦 2.2K · 📋 860 - 15% open · ⏱️ 28.05.2024):
```
git clone https://github.com/serge-sans-paille/pythran
```
PyPi (📥 230K / month · 📦 19 · ⏱️ 28.05.2024): pip install pythran
Conda (📥 500K · ⏱️ 28.05.2024): conda install -c conda-forge pythran

(🥈33 · ⭐ 1K) - OpenCL integration for Python, plus shiny features.

GitHub (👨‍💻 96 · 🔀 240 · 📦 1.9K · 📋 340 - 20% open · ⏱️ 06.06.2024):
```
git clone https://github.com/inducer/pyopencl
```
PyPi (📥 54K / month · 📦 160 · ⏱️ 05.06.2024): pip install pyopencl
Conda (📥 1.1M · ⏱️ 09.05.2024): conda install -c conda-forge pyopencl

(🥈32 · ⭐ 500) - Keep code, data, containers under control with git and git-annex.

GitHub (👨‍💻 56 · 🔀 110 · 📦 400 · 📋 3.9K - 13% open · ⏱️ 06.06.2024):
```
git clone https://github.com/datalad/datalad
```
PyPi (📥 21K / month · 📦 93 · ⏱️ 19.04.2024): pip install datalad
Conda (📥 470K · ⏱️ 29.05.2024): conda install -c conda-forge datalad

(🥈31 · ⭐ 4.8K) - Online machine learning in Python.

GitHub (👨‍💻 110 · 🔀 530 · 📦 490 · 📋 590 - 18% open · ⏱️ 20.05.2024):
```
git clone https://github.com/online-ml/river
```
PyPi (📥 40K / month · 📦 51 · ⏱️ 23.04.2024): pip install river
Conda (📥 60K · ⏱️ 06.10.2023): conda install -c conda-forge river

(🥈31 · ⭐ 1.3K) - Clean APIs for data cleaning. Python implementation of R package..

GitHub (👨‍💻 110 · 🔀 160 · 📦 620 · 📋 560 - 20% open · ⏱️ 04.06.2024):
```
git clone https://github.com/pyjanitor-devs/pyjanitor
```
PyPi (📥 76K / month · 📦 28 · ⏱️ 21.03.2024): pip install pyjanitor
Conda (📥 200K · ⏱️ 21.03.2024): conda install -c conda-forge pyjanitor

(🥈30 · ⭐ 4.8K) - Uplift modeling and causal inference with machine learning..

GitHub (👨‍💻 62 · 🔀 740 · 📦 200 · 📋 390 - 14% open · ⏱️ 09.05.2024):
```
git clone https://github.com/uber/causalml
```
PyPi (📥 45K / month · 📦 1 · ⏱️ 19.04.2024): pip install causalml

(🥈30 · ⭐ 3.3K) - An anomaly detection library comprising state-of-the-art algorithms..

GitHub (👨‍💻 79 · 🔀 590 · 📥 11K · 📦 73 · 📋 840 - 14% open · ⏱️ 06.06.2024):
```
git clone https://github.com/openvinotoolkit/anomalib
```
PyPi (📥 17K / month · 📦 5 · ⏱️ 31.05.2024): pip install anomalib

(🥈30 · ⭐ 1.5K) - TensorLy: Tensor Learning in Python.

GitHub (👨‍💻 67 · 🔀 270 · 📦 660 · 📋 260 - 23% open · ⏱️ 11.04.2024):
```
git clone https://github.com/tensorly/tensorly
```
PyPi (📥 30K / month · 📦 80 · ⏱️ 08.03.2023): pip install tensorly
Conda (📥 360K · ⏱️ 16.06.2023): conda install -c conda-forge tensorly

(🥈29 · ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering..

GitHub (👨‍💻 22 · 🔀 410 · 📦 2.6K · 📋 160 - 10% open · ⏱️ 17.01.2024):
```
git clone https://github.com/nicodv/kmodes
```
PyPi (📥 320K / month · 📦 38 · ⏱️ 06.09.2022): pip install kmodes
Conda (📥 43K · ⏱️ 16.06.2023): conda install -c conda-forge kmodes

(🥈28 · ⭐ 2.4K) - A Unified Library for Parameter-Efficient and Modular.. huggingface

GitHub (👨‍💻 8 · 🔀 320 · 📦 61 · 📋 370 - 10% open · ⏱️ 21.05.2024):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
```
PyPi (📥 92K / month · 📦 7 · ⏱️ 16.12.2023): pip install adapter-transformers

(🥈28 · ⭐ 1.7K) - Avalanche: an End-to-End Library for Continual Learning based on..

GitHub (👨‍💻 78 · 🔀 280 · 📥 21 · 📦 83 · 📋 800 - 11% open · ⏱️ 03.06.2024):
```
git clone https://github.com/ContinualAI/avalanche
```
PyPi (📥 970 / month · 📦 3 · ⏱️ 27.02.2024): pip install avalanche-lib

(🥈28 · ⭐ 1.1K) - An open-source container orchestration engine for running AI workloads..

GitHub (👨‍💻 25 · 🔀 80 · 📦 14 · 📋 710 - 5% open · ⏱️ 06.06.2024):
```
git clone https://github.com/dstackai/dstack
```
PyPi (📥 2K / month · ⏱️ 06.06.2024): pip install dstack

(🥉27 · ⭐ 1.2K · 💤) - A research toolkit for particle swarm optimization in Python.

GitHub (👨‍💻 45 · 🔀 330 · 📦 390 · 📋 230 - 12% open · ⏱️ 06.06.2023):
```
git clone https://github.com/ljvmiranda921/pyswarms
```
PyPi (📥 22K / month · 📦 22 · ⏱️ 03.01.2021): pip install pyswarms

(🥉27 · ⭐ 1.1K) - pyclustering is a Python, C++ data mining library.

GitHub (👨‍💻 26 · 🔀 250 · 📥 540 · 📦 680 · 📋 660 - 10% open · ⏱️ 08.02.2024):
```
git clone https://github.com/annoviko/pyclustering
```
PyPi (📥 43K / month · 📦 29 · ⏱️ 25.11.2020): pip install pyclustering
Conda (📥 67K · ⏱️ 16.11.2023): conda install -c conda-forge pyclustering

(🥉26 · ⭐ 2.2K · 💤) - A modular active learning framework for Python.

GitHub (👨‍💻 20 · 🔀 320 · 📥 35 · 📋 160 - 63% open · ⏱️ 01.06.2023):
```
git clone https://github.com/modAL-python/modAL
```
PyPi (📥 280K / month · 📦 41 · ⏱️ 06.06.2024): pip install modAL

(🥉26 · ⭐ 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:.

GitHub (👨‍💻 50 · 🔀 580 · 📦 160 · 📋 320 - 5% open · ⏱️ 04.01.2024):
```
git clone https://github.com/tableau/TabPy
```
PyPi (📥 8.5K / month · 📦 2 · ⏱️ 30.01.2023): pip install tabpy
Conda (📥 4.5K · ⏱️ 16.06.2023): conda install -c anaconda tabpy-client

(🥉26 · ⭐ 1.4K · 💤) - Multi-class confusion matrix library in Python.

GitHub (👨‍💻 17 · 🔀 120 · 📦 300 · 📋 200 - 5% open · ⏱️ 07.06.2023):
```
git clone https://github.com/sepandhaghighi/pycm
```
PyPi (📥 40K / month · 📦 22 · ⏱️ 07.06.2023): pip install pycm

(🥉26 · ⭐ 1.4K · 💤) - Metric learning algorithms in Python.

GitHub (👨‍💻 22 · 🔀 230 · 📦 380 · 📋 170 - 30% open · ⏱️ 29.09.2023):
```
git clone https://github.com/scikit-learn-contrib/metric-learn
```
PyPi (📥 16K / month · 📦 7 · ⏱️ 09.10.2023): pip install metric-learn
Conda (📥 12K · ⏱️ 09.10.2023): conda install -c conda-forge metric-learn

(🥉26 · ⭐ 1.2K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,..

GitHub (👨‍💻 16 · 🔀 180 · 📦 540 · 📋 130 - 3% open · ⏱️ 16.04.2024):
```
git clone https://github.com/MaxHalford/prince
```
PyPi (📥 140K / month · 📦 16 · ⏱️ 11.10.2023): pip install prince
Conda (📥 19K · ⏱️ 16.06.2023): conda install -c conda-forge prince-factor-analysis

(🥉25 · ⭐ 8K) - Trax Deep Learning with Clear Code and Speed.

GitHub (👨‍💻 79 · 🔀 810 · 📦 160 · 📋 240 - 47% open · ⏱️ 16.05.2024):
```
git clone https://github.com/google/trax
```
PyPi (📥 3.3K / month · 📦 1 · ⏱️ 26.10.2021): pip install trax

(🥉25 · ⭐ 1.6K · 💤) - Genetic Programming in Python, with a scikit-learn inspired API.

GitHub (👨‍💻 11 · 🔀 270 · 📦 580 · 📋 210 - 10% open · ⏱️ 12.08.2023):
```
git clone https://github.com/trevorstephens/gplearn
```
PyPi (📥 7.2K / month · 📦 17 · ⏱️ 03.05.2022): pip install gplearn
Conda (📥 7K · ⏱️ 16.06.2023): conda install -c conda-forge gplearn

(🥉24 · ⭐ 2.7K · 💤) - Mars is a tensor-based unified framework for large-scale data..

GitHub (👨‍💻 53 · 🔀 320 · 📋 1.2K - 17% open · ⏱️ 02.11.2023):
```
git clone https://github.com/mars-project/mars
```
PyPi (📥 15K / month · 📦 1 · ⏱️ 12.06.2022): pip install pymars

(🥉23 · ⭐ 4.9K · 📉) - A data augmentations library for audio, image, text, and video.

GitHub (👨‍💻 34 · 🔀 300 · 📦 120 · 📋 78 - 30% open · ⏱️ 22.03.2024):
```
git clone https://github.com/facebookresearch/AugLy
```
PyPi (📥 2.7K / month · 📦 4 · ⏱️ 05.12.2023): pip install augly

(🥉23 · ⭐ 1K) - Machine learning, statistics, and data mining for astronomy and..

GitHub (👨‍💻 31 · 🔀 300 · 📋 160 - 38% open · ⏱️ 04.01.2024):
```
git clone https://github.com/astroML/astroML
```
PyPi (📥 1.6K / month · 📦 14 · ⏱️ 01.03.2022): pip install astroML
Conda (📥 44K · ⏱️ 16.06.2023): conda install -c conda-forge astroml

(🥉23 · ⭐ 690 · 💤) - Working with molecular structures in pandas DataFrames.

GitHub (👨‍💻 15 · 🔀 120 · 📦 250 · 📋 58 - 41% open · ⏱️ 19.09.2023):
```
git clone https://github.com/rasbt/biopandas
```
PyPi (📥 62K / month · 📦 23 · ⏱️ 28.08.2023): pip install biopandas
Conda (📥 150K · ⏱️ 16.06.2023): conda install -c conda-forge biopandas

(🥉23 · ⭐ 560) - MONAI Label is an intelligent open source image labeling and..

GitHub (👨‍💻 59 · 🔀 180 · 📥 85K · 📋 510 - 23% open · ⏱️ 24.05.2024):
```
git clone https://github.com/Project-MONAI/MONAILabel
```
PyPi (📥 440 / month · ⏱️ 01.10.2023): pip install monailabel-weekly

(🥉22 · ⭐ 370) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous..

GitHub (👨‍💻 3 · 🔀 48 · 📦 520 · 📋 14 - 78% open · ⏱️ 08.02.2024):
```
git clone https://github.com/yzhao062/SUOD
```
PyPi (📥 13K / month · 📦 8 · ⏱️ 08.02.2024): pip install suod

(🥉21 · ⭐ 1.7K) - Unifying Variational Autoencoder (VAE) implementations..

GitHub (👨‍💻 17 · 🔀 150 · 📦 23 · 📋 58 - 32% open · ⏱️ 09.04.2024):
```
git clone https://github.com/clementchadebec/benchmark_VAE
```
PyPi (📥 1.1K / month · ⏱️ 06.09.2023): pip install pythae

(🥉20 · ⭐ 480 · 💤) - Implementation of the Robust Random Cut Forest algorithm for anomaly..

GitHub (👨‍💻 7 · 🔀 110 · 📦 63 · 📋 47 - 55% open · ⏱️ 12.08.2023):
```
git clone https://github.com/kLabUM/rrcf
```
PyPi (📥 2.7K / month · 📦 8 · ⏱️ 30.04.2023): pip install rrcf

(🥉20 · ⭐ 430) - Knowledge-Aware machine LEarning (KALE): accessible machine learning..

GitHub (👨‍💻 22 · 🔀 63 · 📦 1 · 📋 120 - 7% open · ⏱️ 29.05.2024):
```
git clone https://github.com/pykale/pykale
```
PyPi (📥 42 / month · ⏱️ 12.04.2022): pip install pykale

(🥉19 · ⭐ 400 · 📈) - A Python implementation of active inference for Markov Decision Processes.

GitHub (👨‍💻 18 · 🔀 71 · 📦 9 · 📋 42 - 35% open · ⏱️ 06.06.2024):
```
git clone https://github.com/infer-actively/pymdp
```
PyPi (📥 290 / month · ⏱️ 08.12.2022): pip install inferactively-pymdp

(🥉14 · ⭐ 480 · 📉) - A collection of tools for neural compression enthusiasts.

GitHub (👨‍💻 10 · 🔀 42 · 📋 69 - 7% open · ⏱️ 18.03.2024):
```
git clone https://github.com/facebookresearch/NeuralCompression
```
PyPi (📥 86 / month · ⏱️ 03.10.2023): pip install neuralcompression

Show 22 hidden projects…

(🥈32 · ⭐ 8.9K) - The standard data-centric AI package for data quality and machine..

(🥈31 · ⭐ 13K · 💀) - Awesome pre-trained models toolkit based on PaddlePaddle…

(🥈28 · ⭐ 7.9K · 💀) - StarCraft II Learning Environment.

(🥈28 · ⭐ 2.1K) - Algorithms for outlier, adversarial and drift detection.

(🥈28 · ⭐ 1.4K) - MiniSom is a minimalistic implementation of the Self Organizing..

(🥈28 · ⭐ 210) - Fast matrix-multiplication as a self-contained Python library no..

(🥉27 · ⭐ 11K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,.. ❗Unlicensed

(🥉26 · ⭐ 1.1K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed

(🥉25 · ⭐ 1.8K · 💀) - Feature engineering package with sklearn like functionality.

(🥉24 · ⭐ 510 · 💀) - Find pyspark to make it importable.

(🥉22 · ⭐ 3K · 💀) - Turns your machine learning code into microservices with web API,..

(🥉22 · ⭐ 830 · 💀) - ML-Ensemble high performance ensemble learning.

(🥉22 · ⭐ 680 · 💀) - Python package for stacking (machine learning technique).

(🥉21 · ⭐ 350 · 💀) - Data imputations library to preprocess datasets with missing data.

(🥉20 · ⭐ 2.8K · 💀) - StreamAlert is a serverless, realtime data analysis..

(🥉20 · ⭐ 490 · 💀) - apricot implements submodular optimization for the purpose of..

(🥉19 · ⭐ 400 · 💀) - A scikit-learn-compatible Python implementation of..

(🥉18 · ⭐ 590 · 💀) - A graph-based functional API for building complex scikit-learn..

(🥉18 · ⭐ 310 · 💀) - pandas, scikit-learn, xgboost and seaborn integration.

(🥉15 · ⭐ 580 · 💀) - A Pytorch Knowledge Distillation library for benchmarking and..

(🥉13 · ⭐ 1.3K · 💀) - A web app to generate template code for machine learning.

(🥉12 · ⭐ 84 · 💀) - An intelligent, flexible grammar of machine learning.

3. Machine Learning – TensorFlow – Part III

https://www.tensorflow.org/

4. Artificial Intelligence (AI) – Part I

Reproduced from GitHub https://github.com/

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Awesome Artificial Intelligence (AI)

This is a curated list of Artificial Intelligence (AI) tools, courses, books, lectures, and papers. AI, or Artificial Intelligence, is a branch of computer science focused on creating machines that can perform tasks requiring human-like intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, and recognizing patterns. AI aims to mimic human cognitive functions, making machines capable of improving their performance based on experience, adapting to new inputs, and performing human-like tasks.

Tools
Courses
Books
Programming
Philosophy
Free Content
Code
Videos
Learning
Organizations
Journals
Competitions
Newsletters
Misc

Tools

Chat GPT ChatGPT is a free-to-use AI system. It allows users to engage in conversations, gain insights, automate tasks, and witness the future of AI all in one place.
Gemini Gemini gives you direct access to Google AI. Get help with writing, planning, learning, and more.
DALL·E 2 DALL·E 3 is an AI system that can create realistic images and art from a natural-language description.
Sora Sora is a text-to-video AI model that can create realistic and imaginative scenes from text instructions.
Claude Claude is a family of foundational AI models that can be used in various applications. You can talk directly with Claude at claude.ai to brainstorm ideas, analyze images, and process long documents

Courses

Introduction to Artificial Intelligence (AI) - A high-level introduction to AI from IBM on Coursera
Introduction to Generative AI - A beginner-level introduction to Generative AI from Google on Coursera
CS50’s Intro to Artificial Intelligence - This course explores the concepts and algorithms at the foundation of modern artificial intelligence
MIT: Intro to Deep Learning - A seven-day bootcamp designed in MIT to introduce deep learning methods and applications
Deep Blueberry: Deep Learning book - A free five-weekend plan for self-learners to learn the basics of deep-learning architectures like CNNs, LSTMs, RNNs, VAEs, GANs, DQN, A3C and more
Spinning Up in Deep Reinforcement Learning - A free deep reinforcement learning course by OpenAI
MIT Artificial Intelligence Videos - MIT AI Course
Grokking Deep Learning in Motion - Beginner’s course to learn deep learning and neural networks without frameworks.
Intro to Artificial Intelligence - Learn the Fundamentals of AI. Course run by Peter Norvig
EdX Artificial Intelligence - The course will introduce the basic ideas and techniques underlying the design of intelligent computer systems
Artificial Intelligence For Robotics - This class will teach you basic methods in Artificial Intelligence, including probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics
Machine Learning - Basic machine learning algorithms for supervised and unsupervised learning
Deep Learning - An Introductory course to Deep Learning using TensorFlow.
Stanford Statistical Learning - Introductory course on machine learning focusing on linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines.
Knowledge Based Artificial Intelligence - Georgia Tech’s course on Artificial Intelligence focussing on Symbolic AI.
Deep RL Bootcamp Lectures - Deep Reinforcement Bootcamp Lectures - August 2017
Machine Learning Crash Course By Google Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
Python Class By Google This is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding.
Deep Learning Crash Course In this liveVideo course, machine learning expert Oliver Zeigermann teaches you the basics of deep learning.
Artificial Intelligence: A Modern Approach - Stuart Russell & Peter Norvig
- Also consider browsing the list of recommended reading, divided by each chapter in “Artificial Intelligence: A Modern Approach”.
Paradigms Of Artificial Intelligence Programming: Case Studies in Common Lisp - Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems
Reinforcement Learning: An Introduction - This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists.
The Cambridge Handbook Of Artificial Intelligence - Written for non-specialists, it covers the discipline’s foundations, major theories, and principal research areas, plus related topics such as artificial life
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind - In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work
Artificial Intelligence: A New Synthesis - Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI
On Intelligence - Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. Also audio version available from audible.com
How To Create A Mind - Kurzweil discusses how the brain works, how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence to address the world’s problems
Deep Learning - Goodfellow, Bengio and Courville’s introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction - Hastie and Tibshirani cover a broad range of topics, from supervised learning (prediction) to unsupervised learning including neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book.
Deep Learning and the Game of Go - Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex human-flavored reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you’ll use Python to build a bot and then teach it the rules of the game.
Deep Learning for Search - Deep Learning for Search teaches you how to leverage neural networks, NLP, and deep learning techniques to improve search performance.
Deep Learning with PyTorch - PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun.
Deep Reinforcement Learning in Action - Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects.
Grokking Deep Reinforcement Learning - Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching.
Fusion in Action - Fusion in Action teaches you to build a full-featured data analytics pipeline, including document and data search and distributed data clustering.
Real-World Natural Language Processing - Early access book on how to create practical NLP applications using Python.
Grokking Machine Learning - Early access book that introduces the most valuable machine learning techniques.
Succeeding with AI - An introduction to managing successful AI projects and applying AI to real-life situations.
Elements of AI (Part 1) - Reaktor/University of Helsinki - An Introduction to AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with AI, and how it affects our lives – with no complicated math or programming required.
Essential Natural Language Processing - A hands-on guide to NLP with practical techniques, numerous Python-based examples and real-world case studies.
Kaggle’s micro courses - A series of micro courses by offering practical and hands-on knowledge ranging from Python to Deep Learning.
Transfer Learning for Natural Language Processing - A book that gets you up to speed with the relevant ML concepts and then dives into transfer learning for NLP.
(Stanford Deep Learning Series][https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb%5D
Amazon Machine Learning Developer Guide - A book for ML developers which introduces the ML concepts & strategies with lots of practical usages.
Machine Learning Observability Course - Self-guided course covers the intuition, math, and best practices for effective machine learning observability.
Machine Learning for Humans - A series of simple, plain-English explanations accompanied by math, code, and real-world examples.

Books

Machine Learning for Mortals (Mere and Otherwise) - Early access book that provides basics of machine learning and using R programming language.
How Machine Learning Works - Mostafa Samir. Early access book that introduces machine learning from both practical and theoretical aspects in a non-threatening way.
MachineLearningWithTensorFlow2ed is a book on general-purpose machine learning techniques, including regression, classification, unsupervised clustering, reinforcement learning, autoencoders, convolutional neural networks, RNNs, and LSTMs, using TensorFlow 1.14.1.
Serverless Machine Learning - a book for machine learning engineers on how to train and deploy machine learning systems on public clouds like AWS, Azure, and GCP, using a code-oriented approach.
The Hundred-Page Machine Learning Book - all you need to know about Machine Learning in a hundred pages, supervised and unsupervised learning, SVM, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer learning, feature engineering and hyperparameter tuning.
Trust in Machine Learning - a book for experienced data scientists and machine learning engineers on how to make your AI a trustworthy partner. Build machine learning systems that are explainable, robust, transparent, and optimized for fairness.
Generative AI in Action - A book that shows exactly how to add generative AI tools for text, images, and code, and more into your organization’s strategies and projects..

Programming

Prolog Programming For Artificial Intelligence - This best-selling guide to Prolog and Artificial Intelligence concentrates on the art of using the basic mechanisms of Prolog to solve interesting AI problems.
AI Algorithms, Data Structures and Idioms in Prolog, Lisp and Java - PDF here
Python Tools for Machine Learning
Python for Artificial Intelligence

Philosophy

Super Intelligence - Superintelligence asks the question: What happens when machines surpass humans in general intelligence?
Our Final Invention: Artificial Intelligence And The End Of The Human Era - Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?
How to Create a Mind: The Secret of Human Thought Revealed - Ray Kurzweil, director of engineering at Google, explored the process of reverse-engineering the brain to understand precisely how it works, then applies that knowledge to create vastly intelligent machines.
Minds, Brains, And Programs - The 1980 paper by philosopher John Searle that contains the famous ‘Chinese Room’ thought experiment. It is probably the most famous attack on the notion of a Strong AI possessing a ‘mind’ or a ‘consciousness’, and it is an interesting reading for those interested in the intersection of AI and philosophy of mind.
Gödel, Escher, Bach: An Eternal Golden Braid - Written by Douglas Hofstadter and taglined “a metaphorical fugue on minds and machines in the spirit of Lewis Carroll”, this incredible journey into the fundamental concepts of mathematics, symmetry and intelligence won a Pulitzer Prize for Non-Fiction in 1979. A major theme throughout is the emergence of meaning from seemingly ‘meaningless’ elements, like 1’s and 0’s, arranged in special patterns.
Life 3.0: Being Human in the Age of Artificial Intelligence - Max Tegmark, professor of Physics at MIT, discusses how Artificial Intelligence may affect crime, war, justice, jobs, society and our very sense of being human both in the near and far future.

Free Content

Foundations Of Computational Agents - This book is published by Cambridge University Press
The Quest For Artificial Intelligence - This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today’s AI engineers.
Stanford CS229 - Machine Learning - This course provides a broad introduction to machine learning and statistical pattern recognition.
Computers and Thought: A practical Introduction to Artificial Intelligence - The book covers computer simulation of human activities, such as problem-solving and natural language understanding; computer vision; AI tools and techniques; an introduction to AI programming; symbolic and neural network models of cognition; the nature of mind and intelligence; and the social implications of AI and cognitive science.
Society of Mind - Marvin Minsky’s seminal work on how our mind works. Lot of Symbolic AI concepts have been derived from this basis.
Artificial Intelligence and Molecular Biology - The current volume is an effort to bridge that range of exploration, from nucleotide to abstract concept, in contemporary AI/MB research.
Brief Introduction To Educational Implications Of Artificial Intelligence - This book is designed to help preservice and inservice teachers learn about some of the educational implications of current uses of Artificial Intelligence as an aid to solving problems and accomplishing tasks.
Encyclopedia: Computational intelligence - Scholarpedia is a peer-reviewed open-access encyclopedia written and maintained by scholarly experts from around the world.
Ethical Artificial Intelligence - a book by Bill Hibbard that combines several peer-reviewed papers and new material to analyze the issues of ethical artificial intelligence.
Golden Artificial Intelligence - a cluster of pages on artificial intelligence and machine learning.
R2D3 - A website with explanations on topics from Machine Learning to Statistics. All helped with beautifully animated infographics and real-life examples. Available in various languages.
Modeling Agents with Probabilistic Programs - This book describes and implements models of rational agents for (PO)MDPs and Reinforcement Learning.

Code

ExplainX- ExplainX is a fast, lightweight, and scalable explainable AI framework for data scientists to explain any black-box model to business stakeholders.
AIMACode - Source code for “Artificial Intelligence: A Modern Approach” in Common Lisp, Java, and Python. More to come.
FANN - Fast Artificial Neural Network Library, native for C
FARGonautica - Source code of Douglas Hosftadter’s Fluid Concepts and Creative Analogies Ph.D. projects.

Videos

A tutorial on Deep Learning
Basics of Computational Reinforcement Learning
Deep Reinforcement Learning
Intelligent agents and paradigms for AI
The Unreasonable Effectiveness Of Deep Learning - The Director of Facebook’s AI Research, Dr. Yann LeCun gives a talk on deep convolutional neural networks and their applications to machine learning and computer vision
AWS Machine Learning in Motion—This interactive live video course gives you a crash course in using AWS for machine learning and teaches you how to build a fully working predictive algorithm.
Deep Learning with R in Motion-Deep Learning with R in Motion teaches you to apply deep learning to text and images using the powerful Keras library and its R language interface.
Grokking Deep Learning in Motion-Grokking Deep Learning in Motion will not just teach you how to use a single library or framework. You’ll discover how to build these algorithms from scratch!
Reinforcement Learning in Motion - This live-video breaks down critical concepts like how RL systems learn, how to sense and process environmental data, and how to build and train AI agents.

Learning

Deep Learning. Methods And Applications Free book from Microsoft Research
Neural Networks And Deep Learning - Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning
Machine Learning: A Probabilistic Perspective - This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach
Deep Learning - Yoshua Bengio, Ian Goodfellow and Aaron Courville put together this currently free (and draft version) book on deep learning. The book is kept up-to-date and covers a wide range of topics in depth (up to and including sequence-to-sequence learning).
Getting Started with Deep Learning and Python
Machine Learning Mastery
Deep Learning.net - Aggregation site for DL resources
Awesome Machine Learning - Like this Github, but ML-focused
FastML
Awesome Deep Learning Resources - Rough list of learning resources for Deep Learning
Professional and In-Depth Machine Learning Video Courses - A collection of free professional and in-depth Machine Learning and Data Science video tutorials and courses
Professional and In-Depth Artificial Intelligence Video Courses - A collection of free professional and in-depth Artificial Intelligence video tutorials and courses
Professional and In-Depth Deep Learning Video Courses - A collection of free professional and in-depth Deep Learning video tutorials and courses
Introduction to Machine Learning - Introductory level machine learning crash course
Awesome Graph Classification - Learning from graph structured data
Awesome Community Detection - Clustering graph structured data
Awesome Decision Tree Papers - Decision tree papers from machine learning conferences
Awesome Gradient Boosting Papers - Gradient boosting papers from machine learning conferences
Awesome Fraud Detection Papers - Fraud detection papers from machine learning conferences
Awesome Neural Art - Creating art and manipulating images using deep neural networks.

Organizations

Journals

Competitions

Newsletters

Superhuman.ai A daily AI newsletter

Misc

Open Cognition Project - We’re undertaking a serious effort to build a thinking machine
AITopics - Large aggregation of AI resources
AIResources - Directory of open source software and open access data for the AI research community
Artificial Intelligence Subreddit
AI Experiments with Google

5. Artificial Intelligence (AI) – Part II

A curated list of awesome awesomeness about artificial intelligence(AI).

Artificial Intelligence(AI)
Machine Learning(ML)
Deep Learning(DL)
Computer Vision(CV)
Natural Language Processing(NLP)
Speech Recognition
Other Research Topics
Programming Languages
Framework
Datasets
AI Career

Artificial Intelligence(AI)

Machine Learning(ML)

Deep Learning(DL)

Computer Vision(CV)

CV
CV2
CV-People
DeepFakes
Event-based Vision Resources
Embodied Vision
Research Topics
- Action Recognition
- Colorization
- Image Classification
  - imgclsmob
- Image Registration
- Object Detection
  - amusi/Object Detection
  - hoya012/Object Detection
  - Tiny Object Detection
  - Small Object Detection
  - Video Object Detection
  - Anchor Free Object Detection
- Face
  - Face Detection & Recognition
  - awesome-face
  - Facial Expression Recognition (FER)
  - Face Landmark Detection
  - Landmark Detection
  - Face Anti-spoofing
- Gaze Estimation
- HDR Image Synthesis
- Image Segmentation
  - Semantic Segmentation
  - Segmentation.X
  - Panoptic Segmentation
  - Weakly Supervised Semantic Segmentation
  - Referring Image Segmentation
  - Semi Supervised Learning for Medical Image Segmentation
- Object Tracking
  - Visual Tracking1
  - Visual Tracking2
  - Multi-Object Tracking
  - Tracking and Detection
  - daily-paper-visual-tracking
  - Multimodal Tracking
- Pose estimation
  - Object Pose Estimation
  - Human Pose estimation
    - Human Pose estimation 1
    - Human Pose estimation 2
  - Hand Pose estimation
  - 6D Object Pose Estimation
- Human Motion
- Human-Object Interaction(HOI)
- Long-tailed
- Scene Text
  - Scene Text Localization and Recognition
  - Scene Text Localization & Recognition Resources
  - Scene Text Detection and Recognition
  - Text Detection and Recognition
  - Scene Text Recognition Resources
- Super Resolution
  - Super Resolution (ChaofWang)
  - Super Resolution (ptkin)
  - Image Super Resolution
  - Video Super Resolution
- 3D
  - 3D Reconstruction
  - 3D Human Body
- OCR
- Re-ID
  - Person Re-ID(1)
  - Person Re-ID(2)
  - Vehicle Re-ID(1)
  - Vehicle Re-ID(2)
- Pedestrian Attribute Recognition
- Person Search
- Image Captioning
- Question Answering
- Crowd Counting
- Lane Detection
- Low Lignt Enhancement
- Image Retrieval
  - Awesome image retrieval papers (1)
  - Awesome image retrieval papers (2)
- Medical Imaging
  - Medical Data
  - Medical imaging datasets
  - Awesome GAN for Medical Imaging
  - Deep Learning for Medical Applications
  - Medical Image Segmentation
- Image Inpainting
- Image/Video Dehazing
  - awesome-dehazing
  - DehazeZoo
- Image Denoising
  - reproducible-image-denoising-state-of-the-art
  - Image-Denoising-State-of-the-art
  - Image and Video Denoising
  - Awesome-Denoise
- Image Deraining
- Image/Video Deblurring
- Image to Image(img2img)
  - lzhbrian/Image to Image
  - xiaweihao/Image to Image
- Multi-View Stereo(MVS)
- Underwater Image Enhancement
- Video Analysis
- Video Object Segmentation(VOS)
- Edge Detection
- Local and Global Descriptor
- Referring Image Segmentation
- Salience
  - Salient Object Detection(SOD)
  - Saliency Detection & Segmentation
  - RGB-D Salient Object Detection
- Self-Supervised Learning in Medical Imaging
- Fashion + AI
- Event-based Vision Resources
- Video Stabilization
- Visual Transformer
  - Transformer-in-Vision
  - Awesome Transformer for Vision Resources List
  - Awesome-Visual-Transformer
  - Awesome Visual Representation Learning with Transformers

1. Machine Learning – Part I

Table of Contents

Frameworks and Libraries

Tools

Deep Learning

Natural Language Processing

Credits

Awesome Machine Learning

Table of Contents

Frameworks and Libraries

Tools

Deep Learning

Natural Language Processing

Credits

2. Machine Learning with Python – Part II

Contents

Explanation

Machine Learning Frameworks

Data Visualization

Text Data & NLP

Image Data

Graph Data

Audio Data

Geospatial Data

Financial Data

Time Series Data

Medical Data

Tabular Data

Optical Character Recognition

Data Containers & Structures

Data Loading & Extraction

Web Scraping & Crawling

Data Pipelines & Streaming

Distributed Machine Learning

Hyperparameter Optimization & AutoML

Reinforcement Learning

Recommender Systems

Privacy Machine Learning

Workflow & Experiment Tracking

Model Serialization & Deployment

Model Interpretability

Vector Similarity Search (ANN)

Probabilistics & Statistics

Adversarial Robustness

GPU & Accelerator Utilities

Tensorflow Utilities

Jax Utilities

Sklearn Utilities

Pytorch Utilities

Database Clients

Others

Related Resources

Contents

Explanation

Machine Learning Frameworks

Data Visualization

Text Data & NLP

Image Data

Graph Data

Audio Data

Geospatial Data

Financial Data

Time Series Data

Medical Data

Tabular Data

Optical Character Recognition

Data Containers & Structures

Data Loading & Extraction

Web Scraping & Crawling

Data Pipelines & Streaming

Distributed Machine Learning

Hyperparameter Optimization & AutoML

Reinforcement Learning

Recommender Systems

Privacy Machine Learning

Workflow & Experiment Tracking

Model Serialization & Deployment

Model Interpretability

Vector Similarity Search (ANN)

Probabilistics & Statistics