Probabilistic Graphical Models Python Packages

pyhgf

PyHGF: A neural network library for predictive coding

thrml

Thermodynamic Hypergraphical Model Library in JAX

compiled-knowledge

CompiledKnowledge is a Python package for compiling and querying discrete probabilistic graphical models.

fxtensor-bayesnet

Config-driven inference for discrete Bayesian networks: scenario comparison, Bayesian updating, root-cause inference, daily snapshots and figures (built on fxtensor-salmon)

fglib2

Clean Factor Graphs in Python

pyrandwalk

:walking:Python Library for Random Walks

fuller

Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data

odin-ai

Orgainzed Digital Intelligent Network (O.D.I.N)

torchlatent

High Performance Structured Prediction in PyTorch

splotch-st

Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data

daft-builder

Wrapper library on daft that provides a builder interface for rendering probabilistic graphical models (PGMs).

pytorch-probgraph

A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch