A Julia toolbox for automatic generation of (Bayesian) inference algorithms.

Given a probabilistic model, ForneyLab generates efficient Julia code for message-passing based inference. It uses the model structure to generate an algorithm that consists of a sequence of local computations on a Forney-style factor graph (FFG) representation of the model.

Package Features


How to get started?

Head to the Getting started section to get up and running with ForneyLab in no time.