QuantLet / Meta_learner-for-Causal-ML Star 32 Code Issues Pull requests This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods. machine-learning causal-inference treatment-effects simulation-study meta-learner generalized-random-forest Updated May 17, 2021 R
crflynn / skgrf Star 31 Code Issues Pull requests Discussions scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library machine-learning random-forest scikit-learn generalized-random-forest Updated May 7, 2022 Python
wangzilongri / COVID-tracking Star 1 Code Issues Pull requests COVID-19 Outbreak Detection Tool machine-learning econometrics epidemiology causal-inference covid-19 generalized-random-forest Updated Nov 25, 2024 R
KevinArthurTittel / CausalML Star 0 Code Issues Pull requests Robust Smooth Heterogeneous Treatment Effect Estimation using Causal Machine Learning random-forest economics smoothing causal-inference empirical-research non-parametric-regression heterogeneous-treatment-effects causal-machine-learning generalized-random-forest local-linear-causal-forest Updated Dec 15, 2022 R