causality 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
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.
ALICE（因果关系和经济学自动学习和智能）是微软研究中心的一个项目，旨在将人工智能概念应用于经济决策。其目标之一是构建一个将最先进的机器学习技术与计量经济学相结合的工具包，以便将自动化解决复杂的因果推理问题。到目前为止，ALICE Python SDK（econml）实现了诸如Sirizhukov等人的双机器学习工作之类的垂直机器学习算法。该工具包旨在测量某些治疗变量t对结果变量y的因果影响，控制一组特征x。
Next generation of automated data exploratory analysis and visualization platform.
勇敢而真实的因果推理。一种轻松而严谨的方法来了解影响估计和因果关系。
An index of algorithms for learning causality with data
[Embodied-AI-Survey-2025] Paper List and Resource Repository for Embodied AI
Causal Discovery in Python. Learning causality from data.
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Eliot: the logging system that tells you *why* it happened
Trustworthy AI related projects
A Python package for modular causal inference analysis and model evaluations
❗ uplift modeling in scikit-learn style in python 🐍
Curated research at the intersection of causal inference and natural language processing.
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
Python package for causal discovery based on LiNGAM.
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.