causality

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 (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal …

Next generation of automated data exploratory analysis and visualization platform.

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

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

Curated research at the intersection of causal inference and natural language processing.

❗ uplift modeling in scikit-learn style in python 🐍

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.