causal-machine-learning topic
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...
looper
A resource list for causality in statistics, data science and physics
tlverse-handbook
🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
network-deconfounder-wsdm20
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
CausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
Awesome-Uplift-Model
🛠 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】
CausalELM.jl
Taking causal inference to the extreme!
causal-inference-practice
가짜연구소 <인과추론과 실무> 프로젝트
Causal-Mode-Multiplexer
Official PyTorch Implementation for "Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection" in CVPR 2024
Varsortability
Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https://arxiv.org/abs/2102.13647.