AlxndrMlk/causality

An index of algorithms for learning causality with data

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

This repository consolidates my teaching material for "Causal Machine Learning".

A Python library that helps data scientists to infer causation rather than observing correlation.

Causal Discovery in Python. Learning causality from data.

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.

Python package for causal discovery based on LiNGAM.

Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.