JProGraM is a machine learning library which supports learning and inference algorithms for Bayesian networks, Markov random fields, hybrid random fields, probabilistic decision trees, dependency networks, and Parzen windows. [GPL]

A library of classes for optimizing (training) the generic models. Written in C++. [GPL]

Open source library of tools for building machine learning software based on Bayesian mathematical principles. Links on lower left of page article. [GPL]

A general purpose library for Bayesian filtering written in C++. [LGPL]

A machine learning library. New implementations of various machine learning algorithms. [GPL]

This article covers building a basic neural network, (e.g. A Neural Network is an Artificial Intelligence (AI) methodology that attempts to mimic the behavior of the neurons in our brains.) framework in C#. The new program is then 'taught' to perform ...

A tool for adaptive information extraction from text. Also included are a number of other text processing tools for POS tagging, chunking, gazetteer, and stemming. [GPL]

A library of C++ classes for Bayesian Filtering of discrete systems. [MIT]

This library allows probabilistic sequence models to be constructed through use of Hidden Markov models (HMMs) and Hierarchical Markov models HMMs (HHMMs) in Ocaml programming language. [GPL]

Short article on self-modifying software touching on co-training, partial-programming, and genetic programming (GP) methods of problem solving. [FREE]