Machine Learning

  • Apache Mahout – machine learning library for Hadoop.
  • brain – Neural networks in JavaScript.
  • Cloudera Oryx – real-time large-scale machine learning.
  • Concurrent Pattern – machine learning library for Cascading.
  • convnetjs – Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
  • Decider – Flexible and Extensible Machine Learning in Ruby.
  • ENCOG – machine learning framework that supports a variety of advanced algorithms, as well as support classes to normalize and process data.
  • etcML – text classification with machine learning.
  • Etsy Conjecture – scalable Machine Learning in Scalding.
  • Google Sibyl – System for Large Scale Machine Learning at Google.
  • GraphLab Create – A machine learning platform in Python with a broad collection of ML toolkits, data engineering, and deployment tools.
  • H2O – statistical, machine learning and math runtime for Hadoop.
  • MLbase – distributed machine learning libraries for the BDAS stack.
  • MLPNeuralNet – Fast multilayer perceptron neural network library for iOS and Mac OS X.
  • MonkeyLearn – Text mining made easy. Extract and classify data from text.
  • nupic – Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.
  • PredictionIO – machine learning server buit on Hadoop, Mahout and Cascading.
  • SAMOA – distributed streaming machine learning framework.
  • scikit-learn – scikit-learn: machine learning in Python.
  • Spark MLlib – a Spark implementation of some common machine learning (ML) functionality.
  • Vowpal Wabbit – learning system sponsored by Microsoft and Yahoo!.
  • WEKA – suite of machine learning software.
  • BidMach – CPU and GPU-accelerated Machine Learning Library.