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HMM

A Toy implementation of Hidden Markov Model (HMM)

Intro

This implementation has following algorithms for HMM.

  • Forward/Backward (sum-product)
  • Viterbi (max-product)
  • Baum-Welch (EM with exact E)
  • Gibbs (EM with approx E)

Doc

You can view the jupyter notebook (ipython notebook) here.

By Jiaxin Shi, ishijiaxin@126.com

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A Toy implementation of Hidden Markov Model (HMM)

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