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