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Bayes Blocks is a Python/C++ toolbox for variational Bayesian learning. It allows automatic derivation of learning and inference methods for a wide range of linear and nonlinear models. More information: http://www.cis.hut.fi/projects/bayes/


Registered: 2006-10-12 09:23
Activity Percentile: 100%
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Antti Honkela

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Package Version Date Notes / Monitor Download
bblocks1.1.1 January 3, 2007 Release Notes - Monitor this package Download
bblocks-vmVariance model example November 24, 2006 Release Notes - Monitor this package Download
bblocks-hnfaHierarchical Nonlinear Factor Analysis example November 24, 2006 Release Notes - Monitor this package Download
 

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Latest News
Bayes Blocks 1.1 released
    Antti Honkela - 2006-12-05 01:21
Bayes Blocks 1.0.1 available on PASCAL Forge
    Antti Honkela - 2006-10-24 08:39