pyhsmm is a Python library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions.
Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models.
DEAP is an evolutionary computation framework for rapid prototyping and testing of ideas.
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