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.
Uplift modeling and causal inference with machine learning algorithms
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.
Coz: Causal Profiling
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Python Toolkit for Causal and Probabilistic Reasoning
An index of algorithms for learning causality with data
A Python library that helps data scientists to infer causation rather than observing correlation.
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Causal Discovery in Python. Learning causality from data.
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
A Python package for causal inference in quasi-experimental settings
A curated list of causal inference libraries, resources, and applications.
Trustworthy AI related projects
Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。
Generalized Random Forests
CausalVLR: A Toolbox and Benchmark for Vision-Language Causal Reasoning (多模态因果推理开源框架)