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GraphPPL.jl is a probabilistic programming language focused on probabilistic graphical models. This repository is aimed for advanced users, please refer to the ReactiveMP.jl repository for more comprehensive and self-contained documentation and usages examples.
GraphPPL.jl does not export any Bayesian inference backend. It provides a simple DSL parser, model generation, constraints specification and meta specification helpers. To run inference on generated models user needs to have a Bayesian inference backend with GraphPPL.jl support (e.g. ReactiveMP.jl).
MIT License Copyright (c) 2021-present BIASlab