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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 ...
Created 2018-05-31
1,056 commits to main branch, last one a day ago
🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】
Created 2022-11-11
27 commits to master branch, last one about a year ago
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
Created 2019-12-06
14 commits to master branch, last one 3 years ago
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unknown
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A General Causal Inference Framework by Encoding Generative Modeling
Created 2022-06-07
238 commits to main branch, last one 5 months ago
Scikit-learn compatible decision trees beyond those offered in scikit-learn
Created 2022-05-11
374 commits to main branch, last one 26 days ago
🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
Created 2019-03-23
501 commits to master branch, last one about a month ago
가짜연구소 <인과추론과 실무> 프로젝트
Created 2024-04-28
48 commits to main branch, last one 2 months ago