structure-learning topic

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

pgmpy

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

erdogant

Bayesian network structure learning

Howardhuang98

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

larslorch

Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".

salvaRC

[AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution

agadetsky

Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"

phlippe

Sum-Product Network learning routines in python

arranger1044

[Experimental] Global causal discovery algorithms

py-why

A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.

felixleopoldo