Probabilistic Modeling Python Packages

pyro-ppl

Deep universal probabilistic programming with Python and PyTorch

aimz

Scalable probabilistic impact modeling

corticalfields

Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging.

libcirkit

a python framework to build, learn and reason about probabilistic circuits and tensor networks

inferpy

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

survival-distributions

Extended functionality for univariate probability distributions in PyTorch

pydistcore

The interface library for probabilistic modeling in HEP