PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning
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3 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: http://www.cis.hut.fi/projects/bayes/
 
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Register Date: 2006-10-12 09:23

2. Torch - This is a large Machine Learning library written in C++, that includes several well known machine learning algorithms such as SVMs, MLPs, RBFs, GMMs, HMMs, AdaBoost, Bagging, Parzen Windows, KMeans, KNN, etc.
 
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Register Date: 2006-06-21 13:39

3. VariKN Language Modeling toolkit - The project has been moved to github: https://github.com/vsiivola/variKN.
 
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Register Date: 2006-11-07 16:34