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ForneyLab.jl

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

Resources

How to get started?

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