Learning Algorithms

Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ... Platforms: Windows, Mac, Linux

This project provides a framework for testing and comparing different machine learning algorithms (particularly reinforcement learning methods) in different scenarios. Its intended area of application is in research and education. Platforms: Windows, Mac, Linux

Weka packahe provides a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and... Platforms: Windows

Weka packahe provides a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and... Platforms: Windows

The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.g. clustering, classification, graphical models, neural networks, Bayesian networks, text processing, optimization). Platforms: Windows, Mac, Linux

A Python class library of tools for learning agents, including reinforcement learning algorithms, function approximators, and vector quantizations algorithms. (Pronounced 'plastic'.) Platforms: Windows, Mac, Linux

Weka-Parallel is a modification to Weka, created with the intention of being able to harness the power of Weka and the speed of parallel processing to be able to run a number of data mining and machine learning algorithms quickly. Platforms: Windows, Mac, Linux

NeuroLab - a library of basic nueral networks algorithms with flexible network configurations and learning algorithms. To simplify migration, the syntax of the library is as close to a package of Neural Network Toolbox (NNT) of MATLAB (c). The library is based on the package numpy... Platforms: *nix

Installation - Unpack in your modules folder (usually /sites/all/modules/) and enable under Administer > Site Building > Modules.  Requirements: - Drupal 6.x Platforms: Windows, Mac, *nix, PHP, BSD Solaris

Easy-to-use and general-purpose machine learning in Python scikits.learn is a Python module integrating classic machine learning algorithms in the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib). It aims to provide simple and efficient solutions to learning problems... Platforms: *nix

Crogai consists of a mixture of crowd simulation, AI, and genetic algorithms. It is possible to set up simulations and test different AI in a full 3D environment with a small physics engine, terrain, collision handling, etc. Crogai is inspired by the OpenSteer projet and uses steering behaviors... Platforms: *nix

Waffles is a handy C++ development framework specially designed for researchers in machine learning, artificial intelligence, and data mining. The framework contains a class library of learning algorithms and other useful tools, and several demos that show how to build apps using the class... Platforms: Windows

This demo gives a clear visual presentation of what happens during the Adaboost algorithms. It shows how the decision boundary, example weights, training error and base learner weights change during training.A selection of base learning algorithms are included: Linear Regression, Naive Bayes,... Platforms: Matlab

Tag suggester for post content using state of the art machine learning algorithms for semantic analysis. It works in a toolbox in the sidebar. It provides a button that connects to the Flaptor Tagger API through HTTP, retrieves a list of possible tags and displays them in the toolbox. You can add... Platforms: PHP

The Restaurant Game is a research project at the MIT Media Lab that will algorithmically combine the gameplay experiences of thousands of players to create a new game. In a few months, we will apply machine learning algorithms to data collected through the multiplayer Restaurant Game, and produce... Platforms: Mac

Praat (also the Dutch word for "talk") is a free scientific software program for the analysis of speech in phonetics. It has been designed and continuously developed by Paul Boersma and David Weenink of the University of Amsterdam. It can run on a wide range of operating systems, including... Platforms: Mac

Praat (also the Dutch word for "talk") is a free scientific software program for the analysis of speech in phonetics. It has been designed and continuously developed by Paul Boersma and David Weenink of the University of Amsterdam. It can run on a wide range of operating systems, including... Platforms: Linux

JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms. Platforms: Windows, Mac, Linux

The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex... Platforms: Windows, Mac, Linux

A collection of plug-in algorithms for the WEKA machine learning workbench including artificial neural network (ANN) algorithms, and artificial immune system (AIS) algorithms. Platforms: Windows, Mac, Linux