treatment-effects topic

Machine learning based causal inference/uplift in Python

andrewtavis

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 goal...

py-why

Must-read papers and resources related to causal inference and machine (deep) learning

jvpoulos

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...

py-why

My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context

gdmarmerola

Methods for subgroup identification / personalized medicine / individualized treatment rules

jaredhuling

Lightweight uplift modeling framework for Python

duketemon

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

rguo12

forestry-labs

A General Causal Inference Framework by Encoding Generative Modeling

SUwonglab