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

If you want to contribute to this list, send me a pull request or contact me @josephmisiti

Python

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.
• 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.
• jieba - Chinese Words Segementation Utilities.
• SnowNLP - A library for processing Chinese text.
• loso - Another Chinese segmentation library.
• genius - A Chinese segment base on Conditional Random Field.

General-Purpose Machine Learning

• scikit-learn - A Python module for machine learning built on top of SciPy.
• 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.
• BayesPy

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.
• pycascading

Misc Scripts / iPython Notebooks

• pattern_classification
• thinking stats 2
• hyperopt
• numpic
• 2012-paper-diginorm
• ipython-notebooks
• decision-weights

Ruby

Natural Language Processing

• Treat - Text REtrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby
• Ruby Linguistics - NLTK for Ruby
• Stemmer
• Ruby Wordnet
• Raspel
• UEA Stemmer
• Twitter-text-rb

General-Purpose Machine Learning

• Ruby Machine Learning
• Machine Learning Ruby
• jRuby Mahout
• CardMagic-Classifier

Data Analysis / Data Visualization

• rsruby
• data-visualization-ruby
• ruby-plot
• plot-rb
• scruffy
• SciRuby

Javascrpt

Natural Language Processing

• Twitter-text-js
• NLP.js

Data Analysis / Data Visualization

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

General-Purpose Machine Learning

• Convnet.js [DEEP LEARNING]
• Clustering.js
• Decision Trees
• Node-fann
• Kmeans.js
• LDA.js
• Learning.js
• Machine Learning
• Node-SVM
• Brain

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

• Scalding
• Summing Bird
• Algebird

General-Purpose Machine Learning

• Conjecture

Java

Natural Language Processing

• [CoreNLP] (http://nlp.stanford.edu/software/corenlp.shtml)
• [Stanford Parser] (http://nlp.stanford.edu/software/lex-parser.shtml)
• [Stanford POS Tagger] (http://nlp.stanford.edu/software/tagger.shtml)
• [Stanford Name Entity Recognizer] (http://nlp.stanford.edu/software/CRF-NER.shtml)
• [Stanford Word Segmenter] (http://nlp.stanford.edu/software/segmenter.shtml)
• Tregex, Tsurgeon and Semgrex
• Stanford Phrasal: A Phrase-Based Translation System
• Stanford English Tokenizer
• Stanford Tokens Regex
• Stanford Temporal Tagger
• Stanford SPIED
• Stanford Topic Modeling Toolbox
• Twitter Text Java

General-Purpose Machine Learning

• Mahout
• Stanford Classifier

Data Analysis / Data Visualization

• Hadoop
• Spark
• Impala

Go

Natural Language Processing

• go-porterstemmer
• paicehusk
• snowball

General-Purpose Machine Learning

• Go Learn
• go-pr
• bayesian
• go-galib

Data Analysis / Data Visualization

• go-graph
• SVGo

Matlab

Natural Language Processing

• NLP

General-Purpose Machine Learning

• Training a deep autoencoder or a classifier on MNIST digits [DEEP LEARNING]
• t-Distributed Stochastic Neighbor Embedding
• Spider
• LibSVM
• LibLinear

Data Analysis / Data Visualization

• matlab_gbl
• gamic

Julia

General-Purpose Machine Learning

• PGM
• DA
• Regression
• Local Regression
• Naive Bayes
• Mixed Models
• Simple MCMC
• Distance
• Decision Tree
• Neural
• MCMC
• GLM
• Online Learning
• GLMNet
• Clustering
• SVM
• Kernal Density
• Dimensionality Reduction
• NMF

Natural Language Processing

• Topic Models
• Text Analysis

Data Analysis / Data Visualization

• Graph Layout
• Data Frames Meta
• Julia Data
• Data Read
• Hypothesis Tests
• Gladfly
• Stats
• RDataSets
• DataFrames
• Distributions
• Data Arrays
• Time Series
• Sampling

Misc Stuff / Presentations

• JuliaCon Presentations
• SignalProcessing
• Images

Credits

• Some of the python libraries were cut-and-pasted from vinta
• The few go reference I found where pulled from this page