KorfLab/StochHMM

Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.

A Julia package for simulation, inference and learning of Hidden Markov Models.

Python library for analyzing, simulating, and visualizing discrete-time Markov chains and hidden Markov models.

Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

Easy Handling Discrete Time Markov Chains

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

SeqAn's official repository.

🚀 A library designed to facilitate work with probability, statistics and stochastic calculus