Alternatives and similar repositories for Semiparametric-Models-2022-Spring

Users that are interested in Semiparametric-Models-2022-Spring are comparing it to the libraries listed below

• CausalML / RemovingHiddenConfounding
  ☆9Updated 5 years ago
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆13Updated 4 months ago
• statmlben / CUHK-STAT3009
  Recommender systems in Python
  ☆26Updated 5 months ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆25Updated 2 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆61Updated 5 years ago
• sierxue / ThesisSWUFE
  西南财经大学毕业论文模板
  ☆46Updated 2 years ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆24Updated 8 years ago
• statmlben / awesome-statml
  This repository contains a list of awesome literature in statistics and machine learning.
  ☆14Updated last year
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆142Updated last year
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆14Updated 4 months ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆469Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆723Updated 2 years ago
• wangyt95 / LinearRegression-Notes
  For sharing purposes
  ☆27Updated last year
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆329Updated 8 months ago
• claudiashi57 / dragonnet
  ☆270Updated 3 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆308Updated 2 years ago
• anpwu / Causal4Application
  ☆23Updated 3 years ago
• rucliyang / RUCbeamer
  RUC theme beamer based on Rmarkdown
  ☆12Updated 5 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆53Updated 4 years ago
• lushleaf / varying-coefficient-net-with-functional-tr
  [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…
  ☆77Updated 2 years ago
• Osier-Yi / SITE
  ☆58Updated 3 years ago
• anpwu / DeR-CFR
  ☆20Updated 3 years ago
• statmlben / dnn-inference
  Significance tests of feature relevance for a black-box learner
  ☆18Updated 10 months ago
• haoxuanli-pku / WWW23-Balancing-Unobserved-Confounding
  ☆9Updated last year
• fulifeng / Causal_Reading_Group
  We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…
  ☆517Updated 2 years ago
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆42Updated 2 years ago
• kellty / multiSTAT
  Applied Multivariate Statistical Analysis | PKU 2019 Fall
  ☆89Updated 3 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆47Updated 3 years ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆49Updated 6 years ago