Gibbs Sampling Python Packages

aemcmc-nightly

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

smurff

Bayesian Factorization with Side Information in C++ with Python wrapper

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

Hamon provides GPU-accelerated block Gibbs, adaptive non-reversible parallel tempering, and full round-trip diagnostics to drive scientific discovery in physics, probabilistic ML, and hard combinatorial problems.

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

Graphical model analysis toolbox.