heterogeneous-treatment-effects topic

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

haowei01

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

jvpoulos

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

tlverse

A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects

jroessler

Code for TEDVAE, a VAE-based treatment effect estimation algorithm.

WeijiaZhang24