Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with
or
.
Download ZIP
Framework for Gibbs sampling of probabilistic models
Haskell TeX
branch: stable
Failed to load latest commit information.
BayesStack Gibbs.Concurrent: Kill print from debugging
Data Port to log-domain
doc Move docs -> doc
network-topic-models LDARel: Expand likelihood product
.gitignore Add gitignore
.gitmodules Add tikz-bayesnet submodule
LICENSE Update LICENSE
README.mkd Add link to documentation to readme
Setup.hs Initial commit
SharedTasteTest.hs
bayes-stack.cabal Gibbs: Add simple gibbs sampler

README.mkd

bayes-stack: Parallel MCMC inference on graphical models

Bayes-stack is a framework for parallel probabilistic inference on graphical models. The framework provides infrastructure for easily implementing MCMC/Gibbs sampling methods capable of scaling to dozens of cores.

Along with the framework itself, several models using blocked Gibbs sampling are provided in network-topic-models/. See documentation: blob/stable/doc/usage.markdown

Something went wrong with that request. Please try again.