Probabilistic Graphical Models Python Packages

pyhgf

PyHGF: A neural network library for predictive coding

compiled-knowledge

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

torchlatent

High Performance Structured Prediction in PyTorch

thrml

Thermodynamic Hypergraphical Model Library in JAX

pyrandwalk

:walking:Python Library for Random Walks

pytorch-probgraph

A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch

odin-ai

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

fglib2

Clean Factor Graphs in Python

fuller

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

daft-builder

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

splotch-st

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

edhsmm

An(other) implementation of Explicit Duration Hidden Semi-Markov Models in Python 3