2019独角兽企业重金招聘Python工程师标准>>> 
A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php. Other awesome lists can be found in the awesome-awesomeness list.
If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti
For a list of free machine learning books available for download, go here.
Table of Contents
C
General-Purpose Machine Learning
Computer Vision
C++
Computer Vision
General-Purpose Machine Learning
Natural Language Processing
Sequence Analysis
Common Lisp
General-Purpose Machine Learning
Clojure
Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization
Erlang
General-Purpose Machine Learning
Go
Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization
Haskell
General-Purpose Machine Learning
Java
Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization
Deep Learning
Javascript
Natural Language Processing
Data Analysis / Data Visualization
General-Purpose Machine Learning
Julia
General-Purpose Machine Learning
Natural Language Processing
Data Analysis / Data Visualization
Misc Stuff / Presentations
Lua
General-Purpose Machine Learning
Demos and Scripts
Matlab
Computer Vision
Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization
.NET
Computer Vision
Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization
Objective C
General-Purpose Machine Learning
Python
Computer Vision
Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization
Misc Scripts / iPython Notebooks / Codebases
Kaggle Competition Source Code
Ruby
Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization
Misc
R
General-Purpose Machine Learning
Data Analysis / Data Visualization
Scala
Natural Language Processing
Data Analysis / Data Visualization
General-Purpose Machine Learning
Swift
General-Purpose Machine Learning
Credits
C
General-Purpose Machine Learning
Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF).
Accord-Framework -The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications.
Computer Vision
CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
VLFeat - VLFeat is an open and portable library of computer vision algorithms, which has Matlab toolbox
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 object-oriented C++ library that implements various machine learning models
General-Purpose Machine Learning
MLPack
DLib - A suite of ML tools designed to be easy to imbed in other applications
ecogg
shark
Vowpal Wabbit (VW) - A fast out-of-core learning system.
sofia-ml - 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 Multi-armed Bandit library.
Timbl - A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP.
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.
BLLIP Parser - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)
colibri-core - C++ library, command line tools, and Python binding for extracting and working with with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
ucto - Unicode-aware regular-expression based tokeniser for various languages. Tool and C++ library. Supports FoLiA format.
libfolia - C++ library for the FoLiA format
frog - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyser.
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 objected-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet.
Common Lisp
General-Purpose Machine Learning
mgl - Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes
mgl-gpr - Evolutionary algorithms
cl-libsvm - Wrapper for the libsvm support vector machine library
Clojure
Natural Language Processing
Clojure-openNLP - Natural Language Processing in Clojure (opennlp)
Infections-clj - Rails-like inflection library for Clojure and ClojureScript
General-Purpose Machine Learning
Touchstone - Clojure A/B testing library
Clojush - he Push programming language and the PushGP genetic programming system implemented in Clojure
Infer - Inference and machine learning in clojure
Clj-ML - A machine learning library for Clojure built on top of Weka and friends
Encog - Clojure wrapper for Encog (v3) (Machine-Learning framework that specialises in neural-nets)
Fungp - A genetic programming library for Clojure
Statistiker - Basic Machine Learning algorithms in Clojure.
clortex - General Machine Learning library using Numenta’s Cortical Learning Algorithm
comportex - Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm
Data Analysis / Data Visualization
Incanter - Incanter is a Clojure-based, R-like platform for statistical computing and graphics.
PigPen - Map-Reduce for Clojure.
Envision - Clojure Data Visualisation library, based on Statistiker and D3
Erlang
General-Purpose Machine Learning
Disco - Map Reduce in Erlang
Go
Natural Language Processing
go-porterstemmer - 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.
go-ngram - In-memory n-gram index with compression.
General-Purpose Machine Learning
Go Learn - Machine Learning for Go
go-pr - Pattern recognition package in Go lang.
bayesian - Naive Bayesian Classification for Golang.
go-galib - Genetic Algorithms library written in Go / golang
Cloudforest - Ensembles of decision trees in go/golang.
gobrain - Neural Networks written in go
Data Analysis / Data Visualization
go-graph - Graph library for Go/golang language.
SVGo - The Go Language library for SVG generation
Haskell
General-Purpose Machine Learning
haskell-ml - Haskell implementations of various ML algorithms.
HLearn - a suite of libraries for interpreting machine learning models according to their algebraic structure.
hnn - Haskell Neural Network library.
hopfield-networks - Hopfield Networks for unsupervised learning in Haskell.
Java
Natural Language Processing
CoreNLP - Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words
Stanford Parser - A natural language parser is a program that works out the grammatical structure of sentences
Stanford POS Tagger - A Part-Of-Speech Tagger (POS Tagger
Stanford Name Entity Recognizer - Stanford NER is a Java implementation of a Named Entity Recognizer.
Stanford Word Segmenter - Tokenization of raw text is a standard pre-processing step for many NLP tasks.
Tregex, Tsurgeon and Semgrex - Tregex is a utility for matching patterns in trees, based on tree relationships and regular expression matches on nodes (the name is short for "tree regular expressions").
Stanford Phrasal: A Phrase-Based Translation System
Stanford English Tokenizer - Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java.
Stanford Tokens Regex - A tokenizer divides text into a sequence of tokens, which roughly correspond to "words"
Stanford Temporal Tagger - SUTime is a library for recognizing and normalizing time expressions.
Stanford SPIED - Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion
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 Java-based 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 open-source natural language processing system for information extraction from electronic medical record clinical free-text.
General-Purpose 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.)
H2O - ML engine that supports distributed learning on data stored in HDFS.
htm.java - General Machine Learning library using Numenta’s Cortical Learning Algorithm
java-deeplearning - Distributed Deep Learning Platform for Java, Clojure,Scala
JAVA-ML - A general ML library with a common interface for all algorithms in Java
JSAT - Numerous Machine Learning algoirhtms for classification, regresion, and clustering.
Mahout - Distributed machine learning
Meka - An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
MLlib in Apache Spark - Distributed machine learning library in Spark
Neuroph - Neuroph is lightweight Java neural network framework
ORYX - Simple real-time large-scale machine learning infrastructure.
RankLib - RankLib is a library of learning to rank algorithms
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.
WalnutiQ - object oriented model of the human brain
Weka - Weka is a collection of machine learning algorithms for data mining tasks
Speech Recognition
CMU Sphinx - Open Source Toolkit For Speech Recognition purely based on Java speech recognition library.
Data Analysis / Data Visualization
Hadoop - Hadoop/HDFS
Spark - Spark is a fast and general engine for large-scale data processing.
Impala - Real-time Query for Hadoop
Deep Learning
Deeplearning4j - Scalable deep learning for industry with parallel GPUs
Javascript
Natural Language Processing
Twitter-text-js - 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 analysing and manipulating natural language
TextProcessing - Sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.
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
science.js - Scientific and statistical computing in JavaScript.
Z3d - Easily make interactive 3d plots built on Three.js
General-Purpose Machine Learning
Convnet.js - ConvNetJS is a Javascript library for training Deep Learning models[DEEP LEARNING]
Clustering.js - Clustering algorithms implemented in Javascript for Node.js and the browser
Decision Trees - NodeJS Implementation of Decision Tree using ID3 Algorithm
Node-fann - FANN (Fast Artificial Neural Network Library) bindings for Node.js
Kmeans.js - Simple Javascript implementation of the k-means 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
Node-SVM - Support Vector Machine for nodejs
Brain - Neural networks in JavaScript
Bayesian-Bandit - Bayesian bandit implementation for Node and the browser.
Synaptic - Architecture-free neural network library for node.js and the browser
kNear - JavaScript implementation of the k nearest neighbors algorithm for supervised learning
Julia
General-Purpose Machine Learning
PGM - A Julia framework for probabilistic graphical models.
DA - Julia package for Regularized Discriminant Analysis
Regression - Algorithms for regression analysis (e.g. linear regression and logistic regression)
Local Regression - Local regression, so smooooth!
Naive Bayes - Simple Naive Bayes implementation in Julia
Mixed Models - A Julia package for fitting (statistical) mixed-effects models
Simple MCMC - basic mcmc sampler implemented in Julia
Distance - Julia module for Distance evaluation
Decision Tree - Decision Tree Classifier and Regressor
Neural - A neural network in Julia
MCMC - MCMC tools for 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: k-means, dp-means, etc.
SVM - SVM's for Julia
Kernal Density - Kernel density estimators for julia
Dimensionality Reduction - Methods for dimensionality reduction
NMF - A Julia package for non-negative matrix factorization
ANN - Julia artificial neural networks
Mocha.jl - Deep Learning framework for Julia inspired by Caffe
XGBoost.jl - eXtreme Gradient Boosting Package in Julia
Natural Language Processing
Topic Models - TopicModels for Julia
Text Analysis - Julia package for text analysis
Data Analysis / Data Visualization
Graph Layout - Graph layout algorithms in pure Julia
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
DSP - Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
JuliaCon Presentations - Presentations for JuliaCon
SignalProcessing - Signal Processing tools for Julia
Images - An image library for Julia
Lua
General-Purpose Machine Learning
Torch7
cephes - Cephes mathematical functions library, wrapped for Torch. Provides and wraps the 180+ special mathematical functions from the Cephes mathematical library, developed by Stephen L. Moshier. It is used, among many other places, at the heart of SciPy.
graph - Graph package for Torch
randomkit - Numpy's randomkit, wrapped for Torch
signal - A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stft
nn - Neural Network package for Torch
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
optim - An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA).
manifold - A package to manipulate manifolds
svm - Torch-SVM library
lbfgs - FFI Wrapper for liblbfgs
vowpalwabbit - An old vowpalwabbit interface to torch.
OpenGM - OpenGM is a C++ library for graphical 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, kernel-weighted average, local linear regression smoothers
cutorch - Torch CUDA Implementation
cunn - Torch CUDA Neural Network Implementation
imgraph - An image/graph library for Torch. This package provides routines to construct graphs on images, segment them, build trees out of them, and convert them back to images.
videograph - A video/graph library for Torch. This package provides routines to construct graphs on videos, segment them, build trees out of them, and convert them back to videos.
saliency - code and tools around integral images. A library for finding interest points based on fast integral histograms.
stitch - allows us to use hugin to stitch images and apply same stitching to a video sequence
sfm - A bundle adjustment/structure from motion package
fex - A package for feature extraction in Torch. Provides SIFT and dSIFT modules.
OverFeat - A state-of-the-art generic dense feature extractor
Numeric Lua
Lunatic Python
SciLua
Lua - Numerical Algorithms
Lunum
Demos and Scripts
Core torch7 demos repository.
linear-regression, logistic-regression
face detector (training and detection as separate demos)
mst-based-segmenter
train-a-digit-classifier
train-autoencoder
optical flow demo
train-on-housenumbers
train-on-cifar
tracking with deep nets
kinect demo
filter-bank visualization
saliency-networks
Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo)
Music Tagging - Music Tagging scripts for torch7
torch-datasets - Scripts to load several popular datasets including:
BSR 500
CIFAR-10
COIL
Street View House Numbers
MNIST
NORB
Atari2600 - Scripts to generate a dataset with static frames from the Arcade Learning Environment
Matlab
Computer Vision
Contourlets - MATLAB source code that implements the contourlet transform and its utility functions.
Shearlets - MATLAB code for shearlet transform
Curvelets - The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.
Bandlets - MATLAB code for bandlet transform
Natural Language Processing
NLP - An NLP library for Matlab
General-Purpose Machine Learning
Training a deep autoencoder or a classifier on MNIST digits - Training a deep autoencoder or a classifier on MNIST digits[DEEP LEARNING]
t-Distributed Stochastic Neighbor Embedding - t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional 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
LibLinear - A Library for Large Linear Classification
Machine Learning Module - Class on machine w/ PDF,lectures,code
Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind.
Pattern Recognition Toolbox - A complete object-oriented environment for machine learning in Matlab.
Pattern Recognition and Machine Learning - This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
Data Analysis / Data Visualization
matlab_gbl - MatlabBGL is a Matlab package for working with graphs.
gamic - Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions.
.NET
Computer Vision
OpenCVDotNet - A wrapper for the OpenCV project to be used with .NET applications.
Emgu CV - Cross platform wrapper of OpenCV which can be compiled in Mono to 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.
General-Purpose Machine Learning
Accord.MachineLearning - Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
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 feature-rich interactive shell for rapid development.
Objective C
General-Purpose Machine Learning
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.
Python
Computer Vision
SimpleCV - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
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.
loso - Another Chinese segmentation library.
genius - A Chinese segment base on Conditional Random Field.
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 Charniak-Johnson parser)
PyNLPl - Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for FoLiA, but also ARPA language models, Moses phrasetables, GIZA++ alignments.
python-ucto - Python binding to ucto (a unicode-aware rule-based tokenizer for various languages)
python-frog - Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)
colibri-core - Python binding to C++ library for extracting and working with with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
spaCy - Industrial strength NLP with Python and Cython.
PyStanfordDependencies - Python interface for converting Penn Treebank trees to Stanford Dependencies.
General-Purpose Machine Learning
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 scikit-learn compatible API
MLlib in Apache Spark - Distributed machine learning library in Spark
scikit-learn - A Python module for machine learning built on top of SciPy.
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.
graphlab-create - A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.
BigML - A library that contacts external servers.
pattern - Web mining module for Python.
NuPIC - Numenta Platform for Intelligent Computing.
Pylearn2 - A Machine Learning library based on Theano.
hebel - GPU-Accelerated Deep Learning Library in Python.
gensim - Topic Modelling for Humans.
PyBrain - Another Python Machine Learning Library.
Crab - A flexible, fast recommender engine.
python-recsys - 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, near-drop-in replacement for scipy.spatial.kdtree
nilearn - Machine learning for NeuroImaging in Python
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 explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.
mrjob - A library to let Python program run on Hadoop.
SKLL - A wrapper around scikit-learn that makes it simpler to conduct experiments.
neurolab - https://code.google.com/p/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 GPU-meta-programming code generating array oriented optimizing math compiler in Python
yahmm - Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
python-timbl - A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
deap - Evolutionary algorithm framework.
pydeep - Deep Learning In Python
Data Analysis / Data Visualization
SciPy - A Python-based ecosystem of open-source 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 high-productivity software for complex networks.
Pandas - A library providing high-performance, easy-to-use 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 plottling library for Python, based on D3.js.
ggplot - Same API as ggplot2 for R.
Kartograph.py - Rendering beautiful SVG maps in Python.
pygal - A Python SVG Charts Creator.
PyQtGraph - A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
pycascading
Petrel - Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python.
Blaze - NumPy and Pandas interface to Big Data.
emcee - The Python ensemble sampling toolkit for affine-invariant MCMC.
windML - A Python Framework for Wind Energy Analysis and Prediction
vispy - GPU-based high-performance interactive OpenGL 2D/3D data visualization library
cerebro2 A web-based visualization and debugging platform for NuPIC.
NuPIC Studio An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool!
Misc Scripts / iPython Notebooks / Codebases
pattern_classification
thinking stats 2
hyperopt
numpic
2012-paper-diginorm
ipython-notebooks
decision-weights
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 scipy-lecture-notes
Crab - A recommendation engine library for Python
BayesPy - Bayesian Inference Tools in Python
scikit-learn tutorials - Series of notebooks for learning scikit-learn
sentiment-analyzer - Tweets Sentiment Analyzer
sentiment_classifier - Sentiment classifier using word sense disambiguation.
group-lasso - Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model
jProcessing - Kanji / Hiragana / Katakana to Romaji Converter. Edict Dictionary & parallel sentences Search. Sentence Similarity between two JP Sentences. Sentiment Analysis of Japanese Text. Run Cabocha(ISO--8859-1 configured) in Python.
mne-python-notebooks - IPython notebooks for EEG/MEG data processing using mne-python
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.
Kaggle Competition Source Code
wiki challenge - An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle
kaggle insults - Kaggle Submission for "Detecting Insults in Social Commentary"
kaggle_acquire-valued-shoppers-challenge - Code for the Kaggle acquire valued shoppers challenge
kaggle-cifar - Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
kaggle-blackbox - Deep learning made easy
kaggle-accelerometer - Code for Accelerometer Biometric Competition at Kaggle
kaggle-advertised-salaries - Predicting job salaries from ads - a Kaggle competition
kaggle amazon - Amazon access control challenge
kaggle-bestbuy_big - Code for the Best Buy competition at Kaggle
kaggle-bestbuy_small
Kaggle Dogs vs. Cats - Code for Kaggle Dovs vs. Cats competition
Kaggle Galaxy Challenge - Winning solution for the Galaxy Challenge on Kaggle
Kaggle Gender - A Kaggle competition: discriminate gender based on handwriting
Kaggle Merck - Merck challenge at Kaggle
Kaggle Stackoverflow - Predicting closed questions on Stack Overflow
kaggle_acquire-valued-shoppers-challenge - Code for the Kaggle acquire valued shoppers challenge
wine-quality - Predicting wine quality
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 language-independent front end, a module for mapping language codes into language names, and a module which contains various English-language 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
Twitter-text-rb - A library that does auto linking and extraction of usernames, lists and hashtags in tweets
General-Purpose Machine Learning
Ruby Machine Learning - Some Machine Learning algorithms, implemented in Ruby
Machine Learning Ruby
jRuby Mahout - JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby.
CardMagic-Classifier - A general classifier module to allow Bayesian and other types of classifications.
Neural Networks and Deep Learning - Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING]
Data Analysis / Data Visualization
rsruby - Ruby - R bridge
data-visualization-ruby - Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby
ruby-plot - gnuplot wrapper for ruby, especially for plotting roc curves into svg files
plot-rb - 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
Big Data For Chimps
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, json or hash. Demo/Search for a list
R
General-Purpose 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 all-relevant feature selection
bst - bst: Gradient Boosting
C50 - C50: C5.0 Decision Trees and Rule-Based Models
caret - Classification and Regression Training: Unified interface to ~150 ML algorithms in R.
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 Instance-Based Regression Modeling
e1071 - e1071: Misc Functions of the Department of Statistics (e1071), TU Wien
earth - earth: Multivariate Adaptive Regression Spline Models
elasticnet - elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA
ElemStatLearn - ElemStatLearn: Data sets, functions and examples from the book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
evtree - evtree: Evolutionary Learning of Globally Optimal Trees
fpc - fpc: Flexible procedures for clustering
frbs - frbs: Fuzzy Rule-based 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 elastic-net regularized generalized linear models
glmpath - glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model
GMMBoost - GMMBoost: Likelihood-based Boosting for Generalized mixed models
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: Kernel-based 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: Model-Based Boosting
mlr - mlr: Machine Learning in R
mvpart - mvpart: Multivariate partitioning
ncvreg - ncvreg: Regularization paths for SCAD- and MCP-penalized regression models
nnet - nnet: Feed-forward Neural Networks and Multinomial Log-Linear 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 (RF-SRC)
rattle - rattle: Graphical user interface for data mining in R
rda - rda: Shrunken Centroids Regularized Discriminant Analysis
rdetools - rdetools: Relevant Dimension Estimation (RDE) in Feature Spaces
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 (MA-LS-Chains) 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 - Multi-algorithm 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
Data Analysis / Data Visualization
Learning Statistics Using R
ggplot2 - A data visualization package based on the grammar of graphics.
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 algebird-powered aggregation.
PredictionIO - PredictionIO, a machine learning server for software developers and data engineers.
BIDMat - CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
Wolfe Declarative Machine Learning
General-Purpose Machine Learning
Conjecture - Scalable Machine Learning in Scalding
brushfire - decision trees for scalding
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 GPU-accelerated Machine Learning Library.
Figaro - a Scala library for constructing probabilistic models.
h2o-sparkling - H2O and Spark interoperability.
Swift
General-Purpose Machine Learning
swix - A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development.
Credits
Some of the python libraries were cut-and-pasted from vinta
The few go reference I found where pulled from this page