Curated list of awesome lists
Awesome Machine Learning
A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesomephp
.
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 say that "this library is not maintained".
 Not committed for long time (2~3 years).
Further resources:

For a list of free machine learning books available for download, go here.

For a list of (mostly) free machine learning courses available online, go here.

For a list of blogs on data science and machine learning, go here.

For a list of freetoattend meetups and local events, go here.
Table of Contents
APL
GeneralPurpose Machine Learning

naiveapl  Naive Bayesian Classifier implementation in APL.
C
GeneralPurpose 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 scikitlearn 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.
Computer Vision

CCV  Cbased/Cached/Core Computer Vision Library, A Modern Computer Vision Library.

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

HTK The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models.
C++
Computer Vision

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

EBLearn  Eblearn is an objectoriented C++ library that implements various machine learning models

OpenCV  OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.

VIGRA  VIGRA is a generic crossplatform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.
GeneralPurpose Machine Learning

BanditLib  A simple Multiarmed 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 multiGPU) computation.

CNTK  The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deeplearning 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]

CXXNET  Yet another deep learning framework with less than 1000 lines core code [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.

encogcpp

Fido  A highlymodular C++ machine learning library for embedded electronics and robotics.

igraph  General purpose graph library.

Intel(R) DAAL  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.

proNetcore  A generalpurpose network embedding framework: pairwise representations optimization Network Edit.

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, featurerich opensource C++ machine learning library.

Shogun  The Shogun Machine Learning Toolbox.

sofiaml  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 memorybased learning algorithms, among which IB1IG, an implementation of knearest neighbor classification, and IGTree, a decisiontree approximation of IB1IG. Commonly used for NLP.

Vowpal Wabbit (VW)  A fast outofcore learning system.

WarpCTC  A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.

XGBoost  A parallelized optimized general purpose gradient boosting library.

LKYDeepNN  A headeronly C++11 Neural Network library. Low dependency, native traditional chinese document.

xLearn  A high performance, easytouse, and scalable machine learning package, which can be used to solve largescale machine learning problems. xLearn is especially useful for solving machine learning problems on largescale sparse data, which is very common in Internet services such as online advertisement 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".
Natural Language Processing

BLLIP Parser  BLLIP Natural Language Parser (also known as the CharniakJohnson parser).

colibricore  C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as ngrams and skipgrams in a quick and memoryefficient way.

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

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

frog  Memorybased 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  Unicodeaware regularexpression 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 objectedoriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet.
Gesture Detection

grt  The Gesture Recognition Toolkit (GRT) is a crossplatform, opensource, C++ machine learning library designed for realtime gesture recognition.
Common Lisp
GeneralPurpose Machine Learning

mgl  Neural networks (boltzmann machines, feedforward and recurrent nets), Gaussian Processes.

mglgpr  Evolutionary algorithms.

cllibsvm  Wrapper for the libsvm support vector machine library.

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

clrandomforest  Implementation of Random Forest in Common Lisp.
Clojure
Natural Language Processing

ClojureopenNLP  Natural Language Processing in Clojure (opennlp).

Infectionsclj  Railslike inflection library for Clojure and ClojureScript.
GeneralPurpose Machine Learning

Touchstone  Clojure A/B testing library.

Clojush  The Push programming language and the PushGP genetic programming system implemented in Clojure.

Infer  Inference and machine learning in Clojure.

CljML  A machine learning library for Clojure built on top of Weka and friends.

DL4CLJ  Clojure wrapper for Deeplearning4j.

Encog  Clojure wrapper for Encog (v3) (MachineLearning framework that specializes in neuralnets).

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.

cortex  Neural networks, regression and feature learning in Clojure.

lambdaml  Simple, concise implementations of machine learning techniques and utilities in Clojure.
Data Analysis / Data Visualization

Incanter  Incanter is a Clojurebased, Rlike platform for statistical computing and graphics.

PigPen  MapReduce for Clojure.

Envision  Clojure Data Visualisation library, based on Statistiker and D3.
Crystal
GeneralPurpose Machine Learning

machine  Simple machine learning algorithm.

crystalfann  FANN (Fast Artifical Neural Network) binding.
Elixir
GeneralPurpose Machine Learning

Simple Bayes  A Simple Bayes / Naive Bayes implementation in Elixir.
Natural Language Processing

Stemmer  An English (Porter2) stemming implementation in Elixir.
Erlang
GeneralPurpose Machine Learning

Disco  Map Reduce in Erlang.

Yanni  ANN neural networks using Erlangs leightweight processes.
Go
Natural Language Processing

goporterstemmer  A native Go clean room implementation of the Porter Stemming algorithm.

paicehusk  Golang implementation of the Paice/Husk Stemming Algorithm.

snowball  Snowball Stemmer for Go.

Textbox  Natural langauge processing SDK from Machine Box

gongram  Inmemory ngram index with compression.

wordembedding  Word Embeddings: the full implementation of word2vec, GloVe in Go.

sentences  Golang implementation of Punkt sentence tokenizer.
GeneralPurpose Machine Learning

gago  Multipopulation, flexible, parallel genetic algorithm.

Go Learn  Machine Learning for Go.

gopr  Pattern recognition package in Go lang.

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

bayesian  Naive Bayesian Classification for Golang.

gogalib  Genetic Algorithms library written in Go / Golang.

Cloudforest  Ensembles of decision trees in Go/Golang.

gobrain  Neural Networks written in Go.

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

MXNet  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutationaware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.

gomxnetpredictor  Go binding for MXNet c_predict_api to do inference with pretrained model.

neat  Plugandplay, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).
Data Analysis / Data Visualization

gograph  Graph library for Go/Golang language.

SVGo  The Go Language library for SVG generation.

RF  Random forests implementation in Go.

Glot  Glot is a plotting library for Golang built on top of gnuplot.
Facial Detection and Recognition

Facebox  Facial detection and recognition SDK with oneshot teaching from Machine Box
Image Classification

Tagbox  Image classification SDK with oneshot teaching from Machine Box

Nudebox  Nudity detection from Machine Box
Haskell
GeneralPurpose Machine Learning

haskellml  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.

hopfieldnetworks  Hopfield Networks for unsupervised learning in Haskell.

caffegraph  A DSL for deep neural networks.

LambdaNet  Configurable Neural Networks in Haskell.
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 PartOfSpeech 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 preprocessing 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 PhraseBased Translation System

Stanford English Tokenizer  Stanford Phrasal is a stateoftheart statistical phrasebased 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.

Stanford Topic Modeling Toolbox  Topic modeling tools to social scientists and others who wish to perform analysis on datasets.

Twitter Text Java  A Java implementation of Twitter's text processing library.

MALLET  A Javabased package for statistical natural language processing, document classification, clustering, topic modeling, 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.

Apache cTAKES  Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) is an opensource natural language processing system for information extraction from electronic medical record clinical freetext.

ClearNLP  The ClearNLP 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. This project is under the Apache 2 license.

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
illinoiscoreutilities
which provides a set of NLPfriendly data structures and a number of NLPrelated utilities that support writing NLP applications, running experiments, etc, illinoisedison
a library for feature extraction from illinoiscoreutilities data structures and many other packages.
GeneralPurpose 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.

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 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.

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.

javadeeplearning  Distributed Deep Learning Platform for Java, Clojure, Scala.

Mahout  Distributed machine learning.

Meka  An open source implementation of methods for multilabel 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 realtime largescale machine learning.

Samoa SAMOA is a framework that includes distributed machine learning for data streams with an interface to plugin different stream processing platforms.

RankLib  RankLib is a library of learning to rank algorithms.

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.

SmileMiner  Statistical Machine Intelligence & Learning Engine.

SystemML  flexible, scalable machine learning (ML) language.

WalnutiQ  object oriented model of the human brain.

Weka  Weka is a collection of machine learning algorithms for data mining tasks.

LBJava  Learning Based Java is a modeling 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.
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 largescale data processing.

Storm  Storm is a distributed realtime computation system.

Impala  Realtime 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
Deep Learning

Deeplearning4j  Scalable deep learning for industry with parallel GPUs.
Javascript
Natural Language Processing

Twittertext  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.
Data Analysis / Data Visualization
GeneralPurpose Machine Learning

Convnet.js  ConvNetJS is a Javascript library for training Deep Learning models[DEEP LEARNING]

Clusterfck  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.

figue  Kmeans, fuzzy cmeans and agglomerative clustering.

Gaussian Mixture Model  Unsupervised machine learning with multivariate Gaussian mixture model.

Nodefann  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 kmeans algorithm, for node.js and the browser.

LDA.js  LDA topic modeling for Node.js

Learning.js  Javascript implementation of logistic regression/c4.5 decision tree

Machine Learning  Machine learning library for Node.js

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

miltokyo  List of several machine learning libraries.

NodeSVM  Support Vector Machine for Node.js

Brain  Neural networks in JavaScript [Deprecated]

Brain.js  Neural networks in JavaScript  continued community fork of Brain.

BayesianBandit  Bayesian bandit implementation for Node and the browser.

Synaptic  Architecturefree 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 multithreaded 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!

Pavlov.js  Reinforcement learning using Markov Decision Processes.

MXNet  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutationaware 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).

xgboostnode  Run XGBoost model and make predictions in Node.js.
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.

simplestatistics  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.

regressionjs  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 https://jgreenemi.github.io/MLPleaseHelp/, provided via Github Pages.
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.
Julia
GeneralPurpose Machine Learning

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) mixedeffects models.

Simple MCMC  basic mcmc sampler implemented in Julia.

Distance  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.

Online Learning

GLMNet  Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.

Clustering  Basic functions for clustering data: kmeans, dpmeans, etc.

SVM  SVM's for Julia.

Kernel Density  Kernel density estimators for julia.

Dimensionality Reduction  Methods for dimensionality reduction.

NMF  A Julia package for nonnegative 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, Mutationaware 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 scikitlearn API.

Knet  Koç University Deep Learning Framework.
Natural Language Processing
Data Analysis / Data Visualization

Graph Layout  Graph layout algorithms in pure Julia.

LightGraphs  Graph modeling 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.
Misc Stuff / Presentations
Lua
GeneralPurpose 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.

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 Torch7. 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 reuse 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 objectoriented design patterns.

optim  An optimization library for Torch. SGD, Adagrad, ConjugateGradient, LBFGS, RProp and more.

unsup  A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and selfcontained algorithms (kmeans, PCA).

manifold  A package to manipulate manifolds.

svm  TorchSVM library.

lbfgs  FFI Wrapper for liblbfgs.

vowpalwabbit  An old vowpalwabbit interface to torch.

OpenGM  OpenGM is a C++ library for graphical modeling, and inference. The Lua bindings provide a simple way of describing graphs, from Lua, and then optimizing them with OpenGM.

sphagetti  Spaghetti (sparse linear) module for torch7 by @MichaelMathieu

LuaSHKit  A lua wrapper around the Locality sensitive hashing library SHKit

kernel smoothing  KNN, kernelweighted 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 stateoftheart generic dense feature extractor.

wav2letter  a simple and efficient endtoend Automatic Speech Recognition (ASR) system from Facebook AI Research.

Numeric Lua

Lunatic Python

SciLua

Lua  Numerical Algorithms

Lunum
Demos and Scripts

Core torch7 demos repository.
 linearregression, logisticregression
 face detector (training and detection as separate demos)
 mstbasedsegmenter
 trainadigitclassifier
 trainautoencoder
 optical flow demo
 trainonhousenumbers
 trainoncifar
 tracking with deep nets
 kinect demo
 filterbank visualization
 saliencynetworks

Training a Convnet for the GalaxyZoo Kaggle challenge(CUDA demo)

Music Tagging  Music Tagging scripts for torch7.

torchdatasets  Scripts to load several popular datasets including:
 BSR 500
 CIFAR10
 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  An NLP library for Matlab.
GeneralPurpose Machine Learning

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

ConvolutionalRecursive Deep Learning for 3D Object Classification  ConvolutionalRecursive Deep Learning for 3D Object Classification[DEEP LEARNING].

tDistributed Stochastic Neighbor Embedding  tDistributed Stochastic Neighbor Embedding (tSNE) is a (prizewinning) technique for dimensionality reduction that is particularly well suited for the visualization of highdimensional datasets.

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 OpenSource 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 objectoriented 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 dropin replacement of grid search. Optunity is written in Python but interfaces seamlessly with MATLAB.

MXNet  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutationaware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.
Data Analysis / Data Visualization

matlab_gbl  MatlabBGL is a Matlab package for working with graphs.

gamic  Efficient pureMatlab 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 e 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.
GeneralPurpose Machine Learning

AccordFramework 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, Kmeans, Gaussian Mixture models and general algorithms such as Ransac, Crossvalidation and GridSearch for machinelearning 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 matrixfree Hessian and Jacobianvector products) for machine learning and optimization applications. Operations can be nested to any level, meaning that you can compute exact higherorder 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  Multiplatform 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 to customised solutions to domainspecific 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 crossplatform opensource 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 feed back. The chat bots can even scrape the internet for information to return in their output as well as to use for learning.

Vulpes  Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase.
Data Analysis / Data Visualization

numl  numl is a machine learning library intended to ease the use of using standard modeling 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 every day 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 featurerich interactive shell for rapid development.
Objective C
GeneralPurpose Machine Learning

YCML  A Machine Learning framework for ObjectiveC 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 network. It is built on top of the Apple's Accelerate Framework, using vectorized operations and hardware acceleration if available.

MAChineLearning  An ObjectiveC 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.

BPNNeuralNetwork  It implemented 3 layers neural network ( Input Layer, Hidden Layer and Output Layer ) and it named Back Propagation Neural Network (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis.

MultiPerceptronNeuralNetwork  it implemented multiperceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Network (BPN) and designed unlimitedhiddenlayers.

KRHebbianAlgorithm  It is a nonsupervisor and selflearning algorithm (adjust the weights) in neural network of Machine Learning.

KRKmeansAlgorithm  It implemented KMeans the clustering and classification algorithm. It could be used in data mining and image compression.

KRFuzzyCMeansAlgorithm  It implemented Fuzzy CMeans (FCM) the fuzzy clustering / classification algorithm on Machine Learning. It could be used in data mining and image compression.
OCaml
GeneralPurpose Machine Learning

Oml  A general statistics and machine learning library.

GPR  Efficient Gaussian Process Regression in OCaml.

LibraTk  Algorithms for learning and inference with discrete probabilistic models.

TensorFlow  OCaml bindings for TensorFlow.
Perl
Data Analysis / Data Visualization
GeneralPurpose Machine Learning
Perl 6
Data Analysis / Data Visualization
GeneralPurpose Machine Learning
PHP
Natural Language Processing

jiebaphp  Chinese Words Segmentation Utilities.
GeneralPurpose Machine Learning

PHPML  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.
Python
Computer Vision

ScikitImage  A collection of algorithms for image processing in Python.

SimpleCV  An open source computer vision framework that gives access to several highpowered 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.

face_recognition  Face recognition library that recognize and manipulate faces from Python or from the command line.

dockerface  Easy to install and use deep learning Faster RCNN face detection for images and video in a docker container.

Detectron  FAIR's software system that implements stateoftheart object detection algorithms, including Mask RCNN. It is written in Python and powered by the Caffe2 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.
Natural Language Processing

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.

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 base on Conditional Random Field.

KoNLPy  A Python package for Korean natural language processing.

nut  Natural language Understanding Toolkit.

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

BLLIP Parser  Python bindings for the BLLIP Natural Language Parser (also known as the CharniakJohnson 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 FoLiA, but also ARPA language models, Moses phrasetables, GIZA++ alignments.

pythonucto  Python binding to ucto (a unicodeaware rulebased tokenizer for various languages).

pythonfrog  Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)

pythonzpar  Python bindings for ZPar, a statistical partofspeechtagger, constiuency parser, and dependency parser for English.

colibricore  Python binding to C++ library for extracting and working with with basic linguistic constructions such as ngrams and skipgrams in a quick and memoryefficient 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.

jellyfish  a python library for doing approximate and phonetic matching of strings.

editdistance  fast implementation of edit distance.

textacy  higherlevel NLP built on Spacy.

stanfordcorenlppython  Python wrapper for Stanford CoreNLP

CLTK  The Classical Language Toolkit.

rasa_nlu  turn natural language into structured data.

yase  Transcode sentence (or other sequence) to list of word vector .

Polyglot  Multilingual text (NLP) processing toolkit.

DrQA  Reading Wikipedia to answer opendomain questions.

Dedupe  A python library for accurate and scaleable fuzzy matching, record deduplication and entityresolution.
GeneralPurpose Machine Learning

CNTK  Microsoft Cognitive Toolkit (CNTK), an open source deeplearning toolkit. Documentation can be found here.

auto_ml  Automated machine learning for production and analytics. Lets you focus on the fun parts of ML, while outputting productionready code, and detailed analytics of your dataset and results. Includes support for NLP, XGBoost, CatBoost, LightGBM, and soon, deep learning.

machine learning  automated build consisting of a webinterface, and set of programmaticinterface 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.

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 scikitlearn 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.

scikitlearn  A Python module for machine learning built on top of SciPy.

metriclearn  A Python module for metric learning.

SimpleAI Python implementation of many of the artificial intelligence algorithms described on 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.

graphlabcreate  A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a diskbacked 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.

keras  Modular neural network library based on Theano.

Lasagne  Lightweight library to build and train neural networks in Theano.

hebel  GPUAccelerated Deep Learning Library in Python.

Chainer  Flexible neural network framework.

prophet  Fast and automated time series forecasting framework by Facebook.

gensim  Topic Modelling for Humans.

topik  Topic modelling toolkit.

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.

Crab  A flexible, fast recommender engine.

pythonrecsys  A Python library for implementing a Recommender System.

thinking bayes  Book on Bayesian Analysis.

ImagetoImage 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.

CoverTree  Python implementation of cover trees, neardropin replacement for scipy.spatial.kdtree

nilearn  Machine learning for NeuroImaging in Python.

neuropredict  Aimed at novice machine learners and nonexpert 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 the 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.

imbalancedlearn  Python module to perform under sampling and over sampling with various techniques.

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.

pyhsmm  library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicitduration Hidden semiMarkov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDPHMM and HDPHSMM, mostly with weaklimit approximations.

mrjob  A library to let Python program run on Hadoop.

SKLL  A wrapper around scikitlearn that makes it simpler to conduct experiments.

neurolab  https://github.com/zueve/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.

Pebl  Python Environment for Bayesian Learning.

Theano  Optimizing GPUmetaprogramming code generating array oriented optimizing math compiler in Python.

TensorFlow  Open source software library for numerical computation using data flow graphs.

yahmm  Hidden Markov Models for Python, implemented in Cython for speed and efficiency.

pythontimbl  A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate kNearest 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 highperformance Pythonbased Deep Learning framework [DEEP LEARNING].

Optunity  A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate dropin 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.

skflow  Simplified interface for TensorFlow, mimicking Scikit Learn.

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, Mutationaware 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 higherlevel API for TensorFlow.

REP  an IPythonbased environment for conducting datadriven research in a consistent and reproducible way. REP is not trying to substitute scikitlearn, 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 scikitlearn API.

fukuml  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 webbased application for quick, scalable, and automated hyperparameter tuning and stacked ensembling.

PyTorch  Tensors and Dynamic neural networks in Python with strong GPU acceleration

MLFromScratch  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 modeling, 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 multiGPU) computation.

stacked_generalization  Implementation of machine learning stacking technic as handy library in Python.

modAL  A modular active learning framework for Python, built on top of scikitlearn.

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, easytouse, and scalable machine learning package, which can be used to solve largescale machine learning problems. xLearn is especially useful for solving machine learning problems on largescale 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 scikitlearn.
Data Analysis / Data Visualization

SciPy  A Pythonbased ecosystem of opensource software for mathematics, science, and engineering.

NumPy  A fundamental package for scientific computing with Python.

Numba  Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.

NetworkX  A highproductivity software for complex networks.

igraph  binding to igraph library  General purpose graph library.

Pandas  A library providing highperformance, easytouse data structures and data analysis tools.

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

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 modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.

SymPy  A Python library for symbolic mathematics.

statsmodels  Statistical modeling 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.

vincent  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 inbrowser.

ggplot  Same API as ggplot2 for R.

ggfortify  Unified interface to ggplot2 popular R packages.

Kartograph.py  Rendering beautiful SVG maps in Python.

pygal  A Python SVG Charts Creator.

PyQtGraph  A purepython graphics and GUI library built on PyQt4 / PySide and NumPy.

pycascading

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 affineinvariant MCMC.

windML  A Python Framework for Wind Energy Analysis and Prediction.

vispy  GPUbased highperformance interactive OpenGL 2D/3D data visualization library.

cerebro2 A webbased visualization and debugging platform for NuPIC.

NuPIC Studio An allinone NuPIC Hierarchical Temporal Memory visualization and debugging supertool!

SparklingPandas Pandas on PySpark (POPS).

Seaborn  A python visualization library based on matplotlib.

bqplot  An API for plotting in Jupyter (IPython).

pastalog  Simple, realtime visualization of neural network training performance.

caravel  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 selforganizing 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.

scikitplot  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.
Misc Scripts / iPython Notebooks / Codebases

Map/Reduce implementations of common ML algorithms: Jupyter notebooks that cover how to implement from scratch different ML algorithms (ordinary least squares, gradient descent, kmeans, alternating least squares), using Python NumPy, and how to then make these implementations scalable using Map/Reduce and Spark.

BioPy  BiologicallyInspired and Machine Learning Algorithms in Python.

pattern_classification

thinking stats 2

hyperopt

numpic

2012paperdiginorm

A gallery of interesting IPython notebooks

ipythonnotebooks

datascienceipythonnotebooks  Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikitlearn, matplotlib, pandas, NumPy, SciPy, and various command lines.

decisionweights

Sarah Palin LDA  Topic Modeling 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 scipylecturenotes.

Crab  A recommendation engine library for Python.

BayesPy  Bayesian Inference Tools in Python.

scikitlearn tutorials  Series of notebooks for learning scikitlearn.

sentimentanalyzer  Tweets Sentiment Analyzer

sentiment_classifier  Sentiment classifier using word sense disambiguation.

grouplasso  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(ISO88591 configured) in Python.

mnepythonnotebooks  IPython notebooks for EEG/MEG data processing using mnepython.

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 scikitlearn  "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, nodebynode debugging and visualization for TensorFlow.

Suiron  Machine Learning for RC Cars.

Introduction to machine learning with scikitlearn  IPython notebooks from Data School's video tutorials on scikitlearn.

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
Neural Networks

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), MLPELM (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.
Kaggle Competition Source Code
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.

Gym  OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms.

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.

Universe  Universe is a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

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  Opensource software for robot simulation, integrated with OpenAI Gym.

Retro  Retro Games in Gym

SLM Lab  Modular Deep Reinforcement Learning framework in PyTorch.
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.

Ruby Linguistics  Linguistics is a framework for building linguistic utilities for Ruby objects in any language. It includes a generic languageindependent front end, a module for mapping language codes into language names, and a module which contains various Englishlanguage utilities.

Stemmer  Expose libstemmer_c to Ruby.

Ruby Wordnet  This library is a Ruby interface to WordNet.

Raspel  raspell is an interface binding for ruby.

UEA Stemmer  Ruby port of UEALite Stemmer  a conservative stemmer for search and indexing.

Twittertextrb  A library that does auto linking and extraction of usernames, lists and hashtags in tweets.
GeneralPurpose Machine Learning
Data Analysis / Data Visualization

rsruby  Ruby  R bridge.

datavisualizationruby  Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby.

rubyplot  gnuplot wrapper for Ruby, especially for plotting ROC curves into SVG files.

plotrb  A plotting library in Ruby built on top of Vega and D3.

scruffy  A beautiful graphing toolkit for Ruby.

SciRuby

Glean  A data management tool for humans.

Bioruby

Arel
Misc
Rust
GeneralPurpose Machine Learning

deeplearnrs  deeplearnrs 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.

rustymachine  a purerust 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.

RusticSOM  A Rust library for Self Organising Maps (SOM).
R
GeneralPurpose Machine Learning

ahaz  ahaz: Regularization for semiparametric additive hazards regression.

arules  arules: Mining Association Rules and Frequent Itemsets

biglasso  biglasso: Extending Lasso Model Fitting to Big Data in R.

bigrf  bigrf: Big Random Forests: Classification and Regression Forests for Large Data Sets.

bigRR  bigRR: Generalized Ridge Regression (with special advantage for p >> n cases).

bmrm  bmrm: Bundle Methods for Regularized Risk Minimization Package.

Boruta  Boruta: A wrapper algorithm for allrelevant feature selection.

bst  bst: Gradient Boosting.

C50  C50: C5.0 Decision Trees and RuleBased 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.

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

Cubist  Cubist: Rule and InstanceBased Regression Modeling.

e1071  e1071: Misc Functions of the Department of Statistics (e1071), TU Wien

earth  earth: Multivariate Adaptive Regression Spline Models

elasticnet  elasticnet: ElasticNet 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 Rulebased Systems for Classification and Regression Tasks.

GAMBoost  GAMBoost: Generalized linear and additive models by likelihood based boosting.

gamboostLSS  gamboostLSS: Boosting Methods for GAMLSS.

gbm  gbm: Generalized Boosted Regression Models.

glmnet  glmnet: Lasso and elasticnet regularized generalized linear models.

glmpath  glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model.

GMMBoost  GMMBoost: Likelihoodbased Boosting for Generalized mixed models.

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.

Introduction to Statistical Learning

ipred  ipred: Improved Predictors.

kernlab  kernlab: Kernelbased Machine Learning Lab.

klaR  klaR: Classification and visualization.

lars  lars: Least Angle Regression, Lasso and Forward Stagewise.

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.

mboost  mboost: ModelBased Boosting.

medley  medley: Blending regression models, using a greedy stepwise approach.

mlr  mlr: Machine Learning in R.

mvpart  mvpart: Multivariate partitioning.

ncvreg  ncvreg: Regularization paths for SCAD and MCPpenalized regression models.

nnet  nnet: Feedforward Neural Networks and Multinomial LogLinear Models.

oblique.tree  oblique.tree: Oblique Trees for Classification Data.

pamr  pamr: Pam: prediction analysis for microarrays.

party  party: A Laboratory for Recursive Partytioning.

partykit  partykit: A Toolkit for Recursive Partytioning.

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.

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 (RFSRC).

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.

REEMtree  REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data.

relaxo  relaxo: Relaxed Lasso.

rgenoud  rgenoud: R version of GENetic Optimization Using Derivatives

rgp  rgp: R genetic programming framework.

Rmalschains  Rmalschains: Continuous Optimization using Memetic Algorithms with Local Search Chains (MALSChains) in R.

rminer  rminer: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression.

ROCR  ROCR: Visualizing the performance of scoring classifiers.

RoughSets  RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories.

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.

SDDA  SDDA: Stepwise Diagonal Discriminant Analysis.

SuperLearner and subsemble  Multialgorithm ensemble learning packages.

svmpath  svmpath: svmpath: the SVM Path algorithm.

tgp  tgp: Bayesian treed Gaussian process models.

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 dropin 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, Mutationaware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.

TDSPUtilities  Two data science utilities in R from Microsoft: 1) Interactive Data Exploration, Analysis, and Reporting (IDEAR) ; 2) Automated Modeling and Reporting (AMR).
Data Analysis / Data Visualization

ggplot2  A data visualization package based on the grammar of graphics.
SAS
GeneralPurpose Machine Learning

Visual Data Mining and Machine Learning  Interactive, automated, and programmatic modeling with the latest machine learning algorithms in and endtoend 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.
High Performance Machine Learning
Natural Language Processing
Demos and Scripts

ML_Tables  Concise cheat sheets containing machine learning best practices.

enlightenapply  Example code and materials that illustrate applications of SAS machine learning techniques.

enlightenintegration  Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R.

enlightendeep  Example code and materials that illustrate using neural networks with several hidden layers in SAS.

dmflow  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.

FACTORIE  FACTORIE is a toolkit for deployable probabilistic modeling, 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 easytouse DSL.
Data Analysis / Data Visualization

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.

PredictionIO  PredictionIO, a machine learning server for software developers and data engineers.

BIDMat  CPU and GPUaccelerated matrix library intended to support largescale 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.
GeneralPurpose Machine Learning

DeepLearning.scala  Creating statically typed dynamic neural networks from objectoriented & functional programming constructs.

Conjecture  Scalable Machine Learning in Scalding.

brushfire  Distributed decision tree ensemble learning in Scala.

ganitha  Scalding powered machine learning.

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 GPUaccelerated 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 LearningBased Programming.

SwiftLearner  Simply written algorithms to help study ML or write your own implementations.

Smile  Statistical Machine Intelligence and Learning Engine.

doddlemodel  An inmemory machine learning library built on top of Breeze. It provides immutable objects and exposes its functionality through a scikitlearnlike API.
Swift
GeneralPurpose 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.

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.

DeepLearningKit an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS.
It currently allows using deep convolutional neural network models trained in Caffe on Apple operating systems.

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.

Awesome CoreML  A curated list of pretrained CoreML models.

Awesome Core ML Models  A curated list of machine learning models in CoreML format.
TensorFlow
GeneralPurpose Machine Learning
Credits
 Some of the python libraries were cutandpasted from vinta
 The few go reference I found where pulled from this page