PyAutoFit
PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting - Published in JOSS (2021)
GGLasso - a Python package for General Graphical Lasso computation
GGLasso - a Python package for General Graphical Lasso computation - Published in JOSS (2021)
tcherry
tcherry: Learning the structure of tcherry trees - Published in JOSS (2019)
PyGModels
PyGModels: A Python package for exploring Probabilistic Graphical Models with Graph Theoretical Structures - Published in JOSS (2021)
https://github.com/py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
tutorial-ugm-hyperspectral
A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis
https://github.com/cran-task-views/graphicalmodels
CRAN Task View: Empirical Graphical Models
ccdrAlgorithm
Structure learning for Bayesian networks using the CCDr algorithm.
https://github.com/alan-turing-institute/grace
Graph Representation Analysis for Connected Embeddings
pulsar
pulsar: Parallel Utilities for Lambda Selection along a Regularization Path
https://github.com/alan-turing-institute/pdsampler.jl
Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
https://github.com/cbg-ethz/shm
Deep hierarchical models combined with Markov random fields.