Machine learning software projects from several members of the NEC staff. Sourcecode, Documentation, and some supporting publications are also available. [FREE]

A set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. [Free]

Hidden Markov Models software library from the Center of Applied Informatics, Cologne. Includes algorithms such as Viterbi, Baum-Welch, and Forward-Backward. [GPL]

A learning architecture specifically tailored for learning in very high-dimensional feature spaces. The current release uses sparse variations of Winnow, Perceptron, and Naive Bayes. [AFL]

A fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation.

The aim of this project is to develop a Computational Environment for integrating the design and use of knowledge extraction models from data using evolutionary algorithms. Genetic learning may also be applied to the model. [GPL]

A collection of downloadable packages including: KM - The Knowledge Machine, Guiding Inductive Learning with a Qualitative Model, LPE - Lazy Partial Evaluation, and CN2 - Rule induction from examples. [GPL]

A Markov Logic Interpreter that focuses on efficient MAP inference and Online Learning featuring MAP inference using Cutting Planes combined with Max-Walk-Sat programming, parametrized weights, a shell interpreter, and cardinality constraints. [GPL]

A formal system for constructing artificial intelligent software agents from the book, 'Design of Logic-based Intelligent Systems' covering such topics as production rules, neural nets, support vector machines, fuzzy logic, and Bayesian networks. Lice...

Anonymous sites from popular colleges and universities. To access other pages just replace the 6 in URL with numbers 1-23. [Free]