Markov Chains and Hidden Markov Models in Python

Bayesian hidden Markov models toolkit

Discrete Hidden Markov Model (HMM) Implementation in C++

Functional Latent datA Models for clusterING heterogeneOus curveS

Compact implementation of discrete Hidden Markov Models in C and Python.

Non-homogenous Hidden Markov Models

Implementation of the Expectation Maximization Algorithm for Hidden Markov Models including several Directional Distributions

Training a hidden Markov model through expectation-maximization, using Baum-Welch formulae, for applications in speech recognition

Sentiment Analysis with Hidden Markov Model

Hidden Markov Models (HMMs) for estimating the sequence of hidden states (decoding) via the Viterbi algorithm, and estimating model parameters (learning) via the Baum- Welch algorithm.

Baum Welch Algorithm in Java

Clustering and segmentation of heteregeneous functional data (sequential data) by mixture of gaussian Hidden Markov Models (MixFHMMs) and the EM algorithm

Introduction aux modèles de Markov cachés (Hidden Markov Models)

An implementation of discrete Hidden Markov Model

Modeling with a Hidden Markov Model

Predict the movement of birds and identify the type of species using hidden markov models, Viterbi decoding and the Baum-Welch algorithm.

Machine learning allows users to record and later recognize gestures.

Implémentation d'algorithmes simples de Data Science