PepSalehi/pysvihmm
Implementation of stochastic variational inference for Bayesian hidden Markov models.
Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.
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Implementation of stochastic variational inference for Bayesian hidden Markov models.
Effective Python: Source Code and Errata for the Book
Source code for jsDataV.is visualizations
Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)