py-why / dowhy

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.

uber / causalml

Uplift modeling and causal inference with machine learning algorithms

pgmpy / pgmpy

Python Toolkit for Causal and Probabilistic Reasoning

pymc-labs / CausalPy

A Python package for causal inference in quasi-experimental settings

huawei-noah / trustworthyAI

Trustworthy AI related projects

DoubleML / doubleml-for-py

DoubleML - Double Machine Learning in Python

WillianFuks / tfcausalimpact

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.