Monday, November 17, 2014

josephmisiti/awesome-machine-learning


josephmisiti/awesome-machine-learning

General-Purpose Machine Learning

  • JSAT - Numerous Machine Learning algoirhtms for classification, regresion, and clustering.
  • MLlib in Apache Spark - Distributed machine learning library in Spark
  • Datumbox - Machine Learning framework for rapid development of Machine Learning and Statistical applications
  • Mahout - Distributed machine learning
  • Stanford Classifier - A classifier is a machine learning tool that will take data items and place them into one of k classes.
  • Weka - Weka is a collection of machine learning algorithms for data mining tasks
  • Meka - An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
  • ORYX - Simple real-time large-scale machine learning infrastructure.
  • H2O - ML engine that supports distributed learning on data stored in HDFS.
  • WalnutiQ - object oriented model of the human brain
  • ELKI - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)
  • Neuroph - Neuroph is lightweight Java neural network framework
  • java-deeplearning - Distributed Deep Learning Platform for Java, Clojure,Scala
  • htm.java - General Machine Learning library using Numenta's Cortical Learning Algorithm

Read full article from josephmisiti/awesome-machine-learning

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.