ReactiveBayes/RxInfer.jl
Julia package for automated Bayesian inference on a factor graph with reactive message passing
This tool helps researchers and data scientists apply advanced Bayesian statistical methods to their data. You input a probabilistic model of your system, and it automatically generates efficient algorithms to estimate unknown parameters or states. This allows practitioners to get more accurate and faster insights from their data, especially when dealing with complex or dynamic systems.
386 stars.
Use this if you need to perform fast, scalable, and accurate Bayesian inference on a probabilistic model, especially when exact analytical solutions are available.
Not ideal if your primary need is general-purpose probabilistic programming for a broad range of models where performance is not the absolute critical factor.
Stars
386
Forks
34
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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