awesome-machine-learning

naive-apl

Naive Bayesian Classifier implementation in APL

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

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 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

CCV

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox

DLib has C++ and Python interfaces for face detection and training general object detectors

Eblearn is an object-oriented C++ library that implements various machine learning models

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

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

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

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

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

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

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

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

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

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

Python interface to CUDA

A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage

A fast, modular, feature-rich open-source C++ machine learning library

Shogun

The Shogun Machine Learning Toolbox

Suite of fast incremental algorithms

A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling

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

A relational column-oriented database designed for real-time analytics on time series and event data

Uncover insights, surface problems, monitor and fine tune your generative LLM, CV and tabular models

XAD

Comprehensive backpropagation tool for C++

An open source framework for packaging and serving ML models

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

Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks

CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data

frog

Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer

libfolia

C++ library for the

MeTA

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

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

ToPS

This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet

grt

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

RLtools

The fastest deep reinforcement learning library for continuous control, implemented header-only in pure, dependency-free C++ (Python bindings available as well)

mgl

Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes

mgl-gpr

Evolutionary algorithms

cl-libsvm

Wrapper for the libsvm support vector machine library

cl-online-learning

Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression)

cl-random-forest

Implementation of Random Forest in Common Lisp

Clojure-openNLP

Natural Language Processing in Clojure (opennlp)

Infections-clj

Rails-like inflection library for Clojure and ClojureScript

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

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

Encog

Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets)

Fungp

A genetic programming library for Clojure

Statistiker

Basic Machine Learning algorithms in Clojure

clortex

General Machine Learning library using Numenta’s Cortical Learning Algorithm

comportex

Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm

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

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 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

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

Clojure has Native Java Interop from which Java's ML ecosystem can be accessed

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)

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

Curated list of ML related resources for Clojure

machine

Simple machine learning algorithm

crystal-fann

FANN (Fast Artificial Neural Network) binding

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

Stemmer

An English (Porter2) stemming implementation in Elixir

Disco

Map Reduce in Erlang

neural-fortran

A parallel neural net microframework. Read the paper

ParaMonte

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

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

paicehusk

Golang implementation of the Paice/Husk Stemming Algorithm

go-porterstemmer

A native Go clean room implementation of the Porter Stemming algorithm

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

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)

go-pr

Pattern recognition package in Go lang

go-ml

Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution

GoNN

GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN

bayesian

Naive Bayesian Classification for Golang

go-galib

Genetic Algorithms library written in Go / Golang

Cloudforest

Ensembles of decision trees in Go/Golang

go-dnn

Deep Neural Networks for Golang (powered by MXNet)

go-geom

Go library to handle geometries

gogeo

Spherical geometry in Go

dataframe-go

Dataframes for machine-learning and statistics (similar to pandas)

gota

Dataframes

A linear algebra package for Go

Implementations of optimization algorithms

A plotting library

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

General-purpose graph library

go-graph

Graph library for Go/Golang language

RF

Random forests implementation in Go

GoCV

Package for computer vision using OpenCV 4 and beyond

gold

A reinforcement learning library

stable-baselines3

PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms

haskell-ml

Haskell implementations of various ML algorithms

HLearn

a suite of libraries for interpreting machine learning models according to their algebraic structure

hnn

Haskell Neural Network library

hopfield-networks

Hopfield Networks for unsupervised learning in Haskell

DNNGraph

A DSL for deep neural networks

LambdaNet

Configurable Neural Networks in Haskell

Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain

FREE NLP, Retina API Analysis Tool (written in JavaFX!) -

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

A natural language parser is a program that works out the grammatical structure of sentences

A Part-Of-Speech Tagger (POS Tagger)

Stanford NER is a Java implementation of a Named Entity Recognizer

Tokenization of raw text is a standard pre-processing step for many NLP tasks

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 is a state-of-the-art statistical phrase-based machine translation system, written in Java

A tokenizer divides text into a sequence of tokens, which roughly correspond to "words"

SUTime is a library for recognizing and normalizing time expressions

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

A Java-based package for statistical natural language processing, document classification, clustering, topic modelling, information extraction, and other machine learning applications to text

A machine learning based toolkit for the processing of natural language text

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

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

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 which provides a set of NLP-friendly data structures and a number of NLP-related utilities that support writing NLP applications, running experiments, etc, a library for feature extraction from illinois-core-utilities data structures and many other packages

aerosolve

A machine learning library by Airbnb designed from the ground up to be human friendly

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

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

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

An open source implementation of methods for multi-label classification and evaluation (extension to Weka)

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 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 is a framework that includes distributed machine learning for data streams with an interface to plug-in different stream processing platforms

RankLib is a library of learning to rank algorithms

rapaio

statistics, data mining and machine learning toolbox in Java

RapidMiner integration into Java code

A classifier is a machine learning tool that will take data items and place them into one of k classes

Statistical Machine Intelligence & Learning Engine

SystemML

flexible, scalable machine learning (ML) language

A machine learning library written in Java by Oracle

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

Open Source Toolkit For Speech Recognition purely based on Java speech recognition library

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 is a distributed realtime computation system

Impala

Real-time Query for Hadoop

Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization

Deeplearning4j

Scalable deep learning for industry with parallel GPUs

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

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

D3xter

Straight forward plotting built on D3

statkit

Statistics kit for JavaScript

datakit

A lightweight framework for data analysis in JavaScript

science.js

Scientific and statistical computing in JavaScript

Z3d

Easily make interactive 3d plots built on Three.js

JavaScript library dedicated to graph drawing

customizable library based on D3.js for easy chart drawing

Customizable SVG map/geo visualizations using D3.js

library written on Vanilla JS for big data visualization

Platform for data visualization and analysis, using the project

built on top of the awesome d3 and Reactjs libraries

Auto ML

Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file!

ConvNetJS is a JavaScript library for training Deep Learning models[DEEP LEARNING]

Agglomerative hierarchical clustering implemented in JavaScript for Node.js and the browser

Clustering.js

Clustering algorithms implemented in JavaScript for Node.js and the browser

Decision Trees

NodeJS Implementation of Decision Tree using ID3 Algorithm

DN2A

Digital Neural Networks Architecture

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

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

LDA.js

LDA topic modelling for Node.js

Learning.js

JavaScript implementation of logistic regression/c4.5 decision tree

machinelearn.js

Machine Learning library for the web, Node.js and developers

List of several machine learning libraries

Node-SVM

Support Vector Machine for Node.js

Brain

Neural networks in JavaScript

Brain.js

Neural networks in JavaScript - continued community fork of

Bayesian-Bandit

Bayesian bandit implementation for Node and the browser

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

kalman

Kalman filter for JavaScript

shaman

Node.js library with support for both simple and multiple linear regression

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

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 )

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

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

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

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

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 , provided via GitHub Pages

Pipcook

A JavaScript application framework for machine learning and its engineering

The Bot

Example of how the neural network learns to predict the angle between two points created with

Half Beer

Beer glass classifier created with

Indecent content checker with TensorFlow.js

Rock Paper Scissors trained in the browser with TensorFlow.js

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

MachineLearning

Julia Machine Learning library

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)

Local Regression

Local regression, so smooooth!

Naive Bayes

Simple Naive Bayes implementation in Julia

Mixed Models

A Julia package for fitting (statistical) mixed-effects models

Simple MCMC

basic MCMC sampler implemented in Julia

Distances

Julia module for Distance evaluation

Decision Tree

Decision Tree Classifier and Regressor

Neural

A neural network in Julia

MCMC

MCMC tools for Julia

Mamba

Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia

GLM

Generalized linear models in Julia

Gaussian Processes

Julia package for Gaussian processes

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

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

Mocha

Deep Learning framework for Julia inspired by Caffe

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

Relax! Flux is the ML library that doesn't make you tensor

MLJ

A Julia machine learning framework

Topic Models

TopicModels for Julia

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

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

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

Time Series

Time series toolkit for Julia

Sampling

Basic sampling algorithms for Julia

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

KotlinDL

Deep learning framework written in Kotlin

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

autograd

Autograd automatically differentiates native Torch code. Inspired by the original Python version

graph

Graph package for Torch

randomkit

Numpy's randomkit, wrapped for Torch

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

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)

manifold

A package to manipulate manifolds

svm

Torch-SVM library

lbfgs

FFI Wrapper for liblbfgs

vowpalwabbit

An old vowpalwabbit interface to torch

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

spaghetti

Spaghetti (sparse linear) module for torch7 by @MichaelMathieu

LuaSHKit

A Lua wrapper around the Locality sensitive hashing library SHKit

kernel smoothing

KNN, kernel-weighted average, local linear regression smoothers

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

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

saliency

code and tools around integral images. A library for finding interest points based on fast integral histograms

stitch

allows us to use hugin to stitch images and apply same stitching to a video sequence

sfm

A bundle adjustment/structure from motion package

fex

A package for feature extraction in Torch. Provides SIFT and dSIFT modules

OverFeat

A state-of-the-art generic dense feature extractor

wav2letter

a simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research

Keras GPT Copilot

A python package that integrates an LLM copilot inside the keras model development workflow

torch-datasets

Scripts to load several popular datasets including:

Atari2600

Scripts to generate a dataset with static frames from the Arcade Learning Environment

MATLAB source code that implements the contourlet transform and its utility functions

MATLAB code for shearlet transform

The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles

MATLAB code for bandlet transform

Collection and a development kit of MATLAB mex functions for OpenCV library

A NLP library for Matlab

Training a deep autoencoder or a classifier on MNIST digits[DEEP LEARNING]

Convolutional-Recursive Deep Learning for 3D Object Classification[DEEP LEARNING]

The spider is intended to be a complete object orientated environment for machine learning in Matlab

A Library for Support Vector Machines

ThunderSVM

An Open-Source SVM Library on GPUs and CPUs

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

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

ParaMonte

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

MatlabBGL is a Matlab package for working with graphs

Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions

A wrapper for the OpenCV project to be used with .NET applications

Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android

Open source C# framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence. Development has now shifted to GitHub

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

Stanford.NLP for .NET

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

-The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications

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

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

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 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

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#

numl is a machine learning library intended to ease the use of using standard modelling techniques for both prediction and clustering

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 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

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

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

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

KRKmeans-Algorithm

It implemented K-Means clustering and classification algorithm. It could be used in data mining and image compression

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

Oml

A general statistics and machine learning library

Efficient Gaussian Process Regression in OCaml

Algorithms for learning and inference with discrete probabilistic models

TensorFlow

OCaml bindings for TensorFlow

OpenCV

A OpenSource Computer Vision Library

, a pluggable architecture for data and image processing, which can be

MXnet for Deep Learning, in Perl

, also

, using AWS machine learning platform from Perl

, implementation of Support Vector Machines with SVMLight under it

Several machine learning and artificial intelligence models are included in the namespace. For instance, you can find

, a pluggable architecture for data and image processing, which can be

jieba-php

Chinese Words Segmentation Utilities

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

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

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)

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

Free and open source face recognition with deep neural networks

PCV

Open source Python module for computer vision

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

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

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

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

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

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 , 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

pkuseg-python

A better version of Jieba, developed by Peking University

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

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

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

genius

A Chinese segment based on Conditional Random Field

A Python package for Korean natural language processing

nut

Natural language Understanding Toolkit

Rosetta

Text processing tools and wrappers (e.g. Vowpal Wabbit)

Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)

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 , 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 ( )

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 , 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

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

fast implementation of edit distance

textacy

higher-level NLP built on Spacy

stanford-corenlp-python

Python wrapper for

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

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

-> 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

ML Model building

-> A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them

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

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 , and set of 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

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

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

A Python module that encode unstructured data into embeddings

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

Machine Learning and Data Mining for Astronomy

A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame

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

keras

High-level neural networks frontend for , and

Lasagne

Lightweight library to build and train neural networks in Theano

hebel

GPU-Accelerated Deep Learning Library in Python

Chainer

Flexible neural network framework

Fast and automated time series forecasting framework by Facebook

gensim

Topic Modelling for Humans

Blazing fast short-text-topic-modelling for Python

topicwizard

Interactive topic model visualization/interpretation framework

topik

Topic modelling toolkit

PyBrain

Another Python Machine Learning Library

Brainstorm

Fast, flexible and fun neural networks. This is the successor of PyBrain

A scikit for building and analyzing recommender systems

Fast Python Collaborative Filtering for Implicit Datasets

A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback

Crab

A flexible, fast recommender engine

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 .[DEEP LEARNING]

Restricted Boltzmann Machines

-Restricted Boltzmann Machines in Python. [DEEP LEARNING]

Bolt

Bolt Online Learning Toolbox

CoverTree

Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree

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

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

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

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

Pebl

Python Environment for Bayesian Learning

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

mlxtend

A library consisting of useful tools for data science and machine learning tasks

neon

Nervana's Python-based Deep Learning framework [DEEP LEARNING]

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

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

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

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

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 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

: 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

Okrolearn

: A python machine learning library created to combine powefull data analasys feautures with tensors and machine learning components, while mantaining support for other libraries

Opik

: Evaluate, trace, test, and ship LLM applications across your dev and production lifecycles

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 is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses

A Python-based ecosystem of open-source software for mathematics, science, and engineering

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

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

A high-productivity software for complex networks

binding to igraph library - General purpose graph library

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

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

Open Mining

Business Intelligence (BI) in Python (Pandas web interface)

PyMC

Markov Chain Monte Carlo sampling toolkit

zipline

A Pythonic algorithmic trading library

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

A community Python library for Astronomy

A Python 2D plotting library

bokeh

Interactive Web Plotting for Python

Collaborative web plotting for Python and matplotlib

altair

A Python to Vega translator

d3py

A plotting library for Python, based on

PyDexter

Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser

ggplot

Same API as ggplot2 for R

ggfortify

Unified interface to ggplot2 popular R packages

Kartograph.py

Rendering beautiful SVG maps in Python

A Python SVG Charts Creator

PyQtGraph

A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy

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

A web-based visualization and debugging platform for NuPIC

NuPIC Studio

An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool!

SparklingPandas

Pandas on PySpark (POPS)

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

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

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

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

CAEs for Data Assimilation

Convolutional autoencoders for 3D image/field compression applied to reduced order

handsonml

Fundamentals of machine learning in python

Interactive SVM Explorer, using Dash and scikit-learn

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

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

Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP

GreatCircle

Library for calculating great circle distance

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 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

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

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

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

Data Driven Code

Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments

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

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

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

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

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

A federated learning framework for machine learning and other computations on decentralized data

open-solution-home-credit

-> source code and for

open-solution-googleai-object-detection

-> source code and for

open-solution-salt-identification

-> source code and for

open-solution-ship-detection

-> source code and for

open-solution-data-science-bowl-2018

-> source code and for

open-solution-value-prediction

-> source code and for

open-solution-toxic-comments

-> source code for

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