Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

The Shogun Machine Learning Toolbox (Source Code)

Caffe: a fast open framework for deep learning.

Framework and Library for Distributed Online Machine Learning

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

Computation using data flow graphs for scalable machine learning

Computational Network Toolkit (CNTK)

Machine Learning for Go

Homomorphic machine learning

h2o = fast statistical, machine learning & math runtime for bigdata

Mirror of Apache Mahout

Simple real-time large-scale machine learning infrastructure.

Enterprise machine learning platform for prediction and recommendation on Apache Spark.

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

[UNMAINTAINED] Neural networks in JavaScript

Fast multilayer perceptron neural network library for iOS and Mac OS X

scikit-learn: machine learning in Python

Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

Code accompanying the book "Machine Learning for Hackers"

Game written in Ruby for learning Ruby and artificial intelligence.

Flexible and Extensible Machine Learning in Ruby

PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.