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Crow Really Outta Work - User Friendly GUI for High Throughput Experimentation Automation
Updated
Sep 22, 2023
Python
Causal trees and forests for estimating heterogeneous treatment effects
Machine Learning Estimation of Heterogeneous Causal Effects
Treatment Effect Heterogeneity visualization using R
Working repository for Causal Tree and extensions
Heterogeneous Treatment Effects
Updated
Mar 14, 2017
Fortran
Caret Implementation of GRF
Repository for HTE experimental data
Updated
Oct 23, 2025
Python
Generalized Random Forests
Methods for heterogeneous treatment effect estimation
Transporting intervention effects from one population to another with targeted learning
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
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