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Commercial Securities Modeler that uses artificial neural networks and genetic algorithms for customizable prediction

A library of C++ classes for Bayesian filtering. From the Australian Centre for Field Robotics. [C++, MIT license]

Sean Eddy's lab, present profile hidden Markov models for biological sequence analysis, a tool used to build HMMs from multiple alignments, and calculate e-scores.

A general purpose library for Bayesian filtering. [C++, LGPL license]

Software toolkit for building and using motif-based hidden Markov models of DNA and proteins - from the Univ. of California-San Diego.

Machine learning library for Observable Operator Models (OOMs) suitable for time-series and sequence data classification and prediction. OOMs are similar but more powerful than HMMs. [C++, BSD license]

A large collection of multiple sequence alignments and trained hidden Markov models covering many common protein domains.

R, also known as `GNU S', is a free system for statistical computation and graphics similar to S. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, and clustering).