PyAutoFit
PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting - Published in JOSS (2021)
bayes-toolbox
bayes-toolbox: A Python package for Bayesian statistics - Published in JOSS (2023)
GPJax
GPJax: A Gaussian Process Framework in JAX - Published in JOSS (2022)
RxInfer
RxInfer: A Julia package for reactive real-time Bayesian inference - Published in JOSS (2023)
genparticlefilters.jl
Building blocks for simple and advanced particle filtering in Gen.
prob-epi
Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
pyprobables
Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html
forneylab.jl
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
symbolicai
A neurosymbolic perspective on LLMs
markovjunior
Probabilistic language based on pattern matching and constraint propagation, 153 examples
DiffEqBayes
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
NonparametricVI
Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming
genjax
Probabilistic programming with programmable inference for parallel accelerators.
ReactiveMP
High-performance reactive message-passing based Bayesian inference engine