Probabilistic Inference

pgmpyPython

A Python toolkit for causal and probabilistic reasoning using graphical models like Bayesian Networks and Structural Equation Models.

BayesNets.jlJulia

A Julia library for representation, inference, and learning in Bayesian networks.

go-estimateGo

A Go library implementing state estimation and filtering algorithms including Kalman, Extended Kalman, Unscented Kalman, and Particle filters.

PGMaxPython

A JAX-based library for loopy belief propagation on discrete factor graphs, enabling efficient probabilistic inference.

PGMJulia

A Julia framework for probabilistic graphical models, enabling structured probabilistic modeling and inference.

OpenGMC++

Lua bindings for the OpenGM C++ library, enabling graphical model description and optimization from Lua scripts.