Pinned Repositories
ABRP_Mediation
Codebase for Social Connectedness Mediation
awesome-causality-algorithms
An index of algorithms for learning causality with data
Bayes_IV_OneChildPolicy
This repository contains the codes and data for paper"\Is being the only child harmful to psychological health? Evidence from a local instrumental variable analysis"
CEVAE
Causal Effect Inference with Deep Latent-Variable Models
cfrnet
Counterfactual Regression
CTRF
Causal Transfer Random Forests
Double-Rouble-Representation-Learning
Codebase for "Double Robust Representation Learning for Counterfactual Prediction"
Optimal-Design-RCT
OWRCT_codes_package
Codebase for OW-RCT paper
perfect_match
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
zengshx777's Repositories
zengshx777/Double-Rouble-Representation-Learning
Codebase for "Double Robust Representation Learning for Counterfactual Prediction"
zengshx777/CTRF
Causal Transfer Random Forests
zengshx777/OWRCT_codes_package
Codebase for OW-RCT paper
zengshx777/awesome-causality-algorithms
An index of algorithms for learning causality with data
zengshx777/Bayes_IV_OneChildPolicy
This repository contains the codes and data for paper"\Is being the only child harmful to psychological health? Evidence from a local instrumental variable analysis"
zengshx777/CEVAE
Causal Effect Inference with Deep Latent-Variable Models
zengshx777/cfrnet
Counterfactual Regression
zengshx777/OW_Survival_CodeBase
Codebase for pseudo outcomes
zengshx777/ABRP_Mediation
Codebase for Social Connectedness Mediation
zengshx777/Optimal-Design-RCT
zengshx777/perfect_match
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
zengshx777/Baboon-Project
zengshx777/CTRF_Jupyter
zengshx777/Dataset-REPAIR
REPresentAtion bIas Removal (REPAIR) of datasets
zengshx777/MFPCA_Codebase
zengshx777/OCP_Gibbs_JRSSA
JRSSA OCP
zengshx777/OCP_LIV_JRSSA
zengshx777/pytorch-widedeep
A flexible package to combine tabular data with text and images using Wide and Deep models in Pytorch