PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning
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1 projects in result set.
1. Bayes Blocks - 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:
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Register Date: 2006-10-12 09:23