Hidden Markov Model in Pytorch

This is a practical project for the learning of PGM, which is based on the tensorflow implementation from Marvin Bertin.

Viterbi, Forward-Backward and Baum Welch are implemented.

For details, please check the Jupyter Notebook Guide