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aemcmc-nightly

AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.

smurff

Bayesian Factorization Methods

pybbn

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

aemcmc

AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.

distributions

Low-level primitives for collapsed Gibbs sampling in python and C++

hamon

JAX-native thermal sampling for discrete energy-based models

monte-library

Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.

ppgm

Graph: Representation, Learning, and Inference Methods