Structure Learning Python Packages

bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

bamt

data modeling and analysis tool based on Bayesian networks

thegolem

Graph Optimiser for Learning and Evolution of Models

dagma

A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

avici

Amortized Inference for Causal Structure Learning

bamt-light

Repository of a data modeling and analysis tool based on Bayesian networks

bnclassify

bnlearn

dibs-lib

DiBS: Differentiable Bayesian Structure Learning

qdscreen

Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018)

iscm

Standardizing Structural Causal Models, ICLR 2025