causal-discovery topic
CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
YLearn
YLearn, a pun of "learn why", is a python package for causal inference
looper
A resource list for causality in statistics, data science and physics
pycopent
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in...
DIR-GNN
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
copent
R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test
causality-lab
Causal discovery algorithms and tools for implementing new ones
ENCO
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"