I implement a tensor version (using numpy) of HMM for three classic problems of HMM. For any non-sequential/non-recursive, I bypass the for-loop by using tensor ...

This project implements the Baum–Welch algorithm for training a Hidden Markov Model (HMM). Baum–Welch is a special case of the Expectation–Maximization (EM) algorithm used to estimate HMM parameters ...