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).
For a list of free machine learning books available for download, go here.
Table of Contents
APL
GeneralPurpose Machine Learning

naiveapl  Naive Bayesian Classifier implementation in APL
C
GeneralPurpose Machine Learning

Recommender  A C library for product recommendations/suggestions using collaborative filtering (CF).

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.
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

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

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

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

mlpack  A scalable C++ machine learning library

DLib  A suite of ML tools designed to be easy to imbed in other applications
 encogcpp
 shark

Vowpal Wabbit (VW)  A fast outofcore learning system.

sofiaml  Suite of fast incremental algorithms.

Shogun  The Shogun Machine Learning Toolbox

Caffe  A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]

CXXNET  Yet another deep learning framework with less than 1000 lines core code [DEEP LEARNING]

XGBoost  A parallelized optimized general purpose gradient boosting library.

CUDA  This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING]

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

BanditLib  A simple Multiarmed Bandit library.

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.

Disrtibuted 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.

igraph  General purpose graph library

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

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.

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.

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

DSSTNE  A software library created by Amazon for training and deploying deep neural networks using GPUs which emphasizes speed and scale over experimental flexibility.

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.
Natural Language Processing

MIT Information Extraction Toolkit  C, C++, and Python tools for named entity recognition and relation extraction

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.

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.

ucto  Unicodeaware regularexpression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.

libfolia  C++ library for the FoLiA format

frog  Memorybased NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.

MeTA  MeTA : ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
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
Clojure
Natural Language Processing
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

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
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
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
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.

gongram  Inmemory ngram index with compression.
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.
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
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.

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.

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

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

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

NLP.js  NLP utilities in javascript and coffeescript

natural  General natural language facilities for node

Knwl.js  A Natural Language Processor in JS

Retext  Extensible system for analyzing and manipulating natural language

TextProcessing  Sentiment analysis, stemming and lemmatization, partofspeech tagging and chunking, phrase extraction and named entity recognition.

NLP Compromise  Natural Language processing in the browser
Data Analysis / Data Visualization

D3.js
 High Charts
 NVD3.js
 dc.js
 chartjs
 dimple
 amCharts

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

Sigma.js  JavaScript library dedicated to graph drawing.

C3.js customizable library based on D3.js for easy chart drawing.

Datamaps Customizable SVG map/geo visualizations using D3.js.

ZingChart library written on Vanilla JS for big data visualization.

cheminfo  Platform for data visualization and analysis, using the visualizer project.
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

Nodefann  FANN (Fast Artificial Neural Network Library) bindings for Node.js

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

miltokyo  List of several machine learning libraries

NodeSVM  Support Vector Machine for nodejs

Brain  Neural networks in JavaScript [Deprecated]

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.
Misc

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.
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
 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

Kernal 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
Natural Language Processing
Data Analysis / Data Visualization
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
 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
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.

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

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.

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.
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.
PHP
Natural Language Processing

jiebaphp  Chinese Words Segmentation Utilities.
GeneralPurpose Machine Learning

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
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
GeneralPurpose Machine 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

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

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.

Crab  A ﬂexible, fast recommender engine.

pythonrecsys  A Python library for implementing a Recommender System.

thinking bayes  Book on Bayesian Analysis

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

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.
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.

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).

HDBScan  implementation of the hdbscan algorithm in Python  used for clustering
Misc Scripts / iPython Notebooks / Codebases

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

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.

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

Neural networks  NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Kaggle Competition Source Code
Ruby
Natural Language Processing

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.
R
GeneralPurpose Machine Learning

ahaz  ahaz: Regularization for semiparametric additive hazards regression

arules  arules: Mining Association Rules and Frequent Itemsets

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.
 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.
Data Analysis / Data Visualization

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

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.
Data Analysis / Data Visualization

MLlib in Apache Spark  Distributed machine learning library in Spark

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

simmer  Reduce your data. A unix filter for algebirdpowered aggregation.

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.

Wolfe Declarative Machine Learning

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

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.
Swift
GeneralPurpose Machine Learning

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.
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
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