An index of algorithms for learning causality with data

Eliot: the logging system that tells you *why* it happened

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

Python package for causal discovery based on LiNGAM.

YLearn, a pun of "learn why", is a python package for causal inference

A resource list for causality in statistics, data science and physics

Hyper-geometric computational causality for Rust

A Python package for causal inference using Synthetic Controls

💊 Comparing causality methods in a fair and just way.

Python package for Granger causality test with nonlinear forecasting methods.

Causing: CAUsal INterpretation using Graphs

Information-Theoretic Measures for Revealing Variable Interactions

A project for exploring differentially active signaling paths related to proteomics datasets

가짜연구소 <인과추론과 실무> 프로젝트

Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://arxiv.org/abs/1702.07007 is available at https://github.com/jakobrunge/tigramite!

Causal Relation Extraction and Identification using Conditional Random Fields

Mendelian Randomization with Biomarker Associations for Causality with Outcomes

金融文本中的原因事件

Implementation of Causation Entropy from Clarkson Center for Complex Systems Science (C3S2)

Causal Inference Using Quasi-Experimental Methods