heterogeneous-treatment-effects
There are 10 repositories under heterogeneous-treatment-effects topic.
jvpoulos/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
haowei01/pytorch-examples
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
tlverse/causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
jroessler/autoum
A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects
WeijiaZhang24/TEDVAE
Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
predict-idlab/cct-cmc
Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
fbargaglistoffi/NetworkCausalTree
Package for heterogeneous treatment and spillover effects under network interference
Larsvanderlaan/causalCalibration
Code for causal isotonic calibration for heterogeneous treatment effects (appeared in ICML, 2023)
burkh4rt/Learning-Representations-Causal-Inference
Code supplement for "Neuroevolutionary representations for learning heterogeneous treatment effects"
KevinArthurTittel/CausalML
Robust Smooth Heterogeneous Treatment Effect Estimation using Causal Machine Learning