biaslab/ForneyLab.jl
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
This package helps researchers and engineers quickly set up and run advanced probabilistic models, especially for time-series data. You provide your model specifications, and it automatically generates efficient Julia code to perform Bayesian inference. It's ideal for anyone who builds complex statistical models and needs to derive the underlying inference algorithms without manual coding.
153 stars. No commits in the last 6 months.
Use this if you need to perform Bayesian inference on probabilistic models, especially those involving time-series data, and want to automate the generation of the complex message-passing algorithms.
Not ideal if you are not working with probabilistic models or do not require automated generation of inference algorithms based on factor graphs.
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153
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Language
Julia
License
MIT
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Last pushed
May 03, 2023
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