MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Hidden Markov Models for Julia.

Abstract types and interfaces for Markov chain Monte Carlo methods

Julia package for Hidden Markov Model

Support tools for solving POMDPs