Bayes-Swarm is a research project, its aim is to spider web sources (news portals, blogs and online newspapers) and extract correlations between such sources. [http://code.google.com/p/bayes-swarm/wiki/GetStarted http://bayes-swarm.googlecode.com/svn/images/bayes-swarm_com_20080125_obama_small.pn...

Bayesian networks is one of the most promising tools for medical, economical and wether forecast. Variaty of training algorithms for bayesian networks avaliable. The aim of this project is to create collection of data preprocessing procedures like variable decorrelation, normalisation and gaussianis...

BFilt is a multi-platform and open-source C++ bayesian filtering library. It contains useful and classical algorithms in state estimation of hidden markov models. So you can easily construct discrete-disrete (DD) and continuous-discrete (CD) models (linear or nonlinear) for filtering (Kalman, EKF...

This package is a collection of useful classes for basic Bayesian inference. Currently, its main goal is to be a tool for learning and exploration of Bayesian probabilistic calculations. Currently it also includes subpackages for stochastic simulation tools which are not strictly related to Baye...

Simple simulation models of Bayesian networks to support personal research

this project implements bayes filter algorithms just for learning.

= django-rangevoting = django-rangevoting allows flexible voting on django objects and includes a pluggable ranking backend to make writing custom ranking algorithms easy. This project is 100% "under development", so watch your fingers around the rough edges. Before you ask "why not just f...

_bayesbox_ is a sample software design and implementation as C++ class library for Bayesian inference. ==Features== * Interface classes for some learner models * Normal mixture model (to appear) * Neural Network model (to appear) * Implementation of Parallel Tempering method of M...

Simple Dialogue System

Bayesian nets optimization of the traffic lights.