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aesara-devs
aemcmc-nightly

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

17K 39 11
ExaScience
smurff

Bayesian Factorization Methods

2K 69 13
vangj
pybbn

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

1K 57 16
aesara-devs
aemcmc

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

492 39 11
posterior
distributions

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

480 16 8
dek3rr
hamon

JAX-native thermal sampling for discrete energy-based models

198 1 0
draktr
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.

158 5 0
koriavinash1
ppgm

Graph: Representation, Learning, and Inference Methods

112 4 0
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