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

• statmlben / CUHK-STAT3009
  Recommender systems in Python
  ☆27Updated 3 months ago
• statmlben / awesome-statml
  This repository contains a list of awesome literature in statistics and machine learning.
  ☆14Updated 10 months ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆60Updated 5 years ago
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆13Updated 2 months ago
• statmlben / dnn-inference
  Significance tests of feature relevance for a black-box learner
  ☆18Updated 8 months ago
• 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…
  ☆514Updated 2 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆306Updated 2 years ago
• claudiashi57 / dragonnet
  ☆266Updated 3 years ago
• anpwu / Causal4Application
  ☆23Updated 3 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆137Updated 10 months ago
• huiyang-yi / Awesome-Causality-and-ML-Papers
  关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结
  ☆30Updated 4 months ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆465Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆704Updated 2 years ago
• alwaysmodest / A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications
  ☆28Updated 2 weeks ago
• sschrod / BITES
  BITES: Balanced Individual Treatment Effect for Survival data
  ☆18Updated last year
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆87Updated 2 years ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆24Updated 2 years ago
• arnaud39 / TARNet
  TARNet Model with tensorflow 2 API.
  ☆10Updated 2 years ago
• haoxuanli-pku / WWW23-Balancing-Unobserved-Confounding
  ☆9Updated 10 months ago
• causal-machine-learning-lab / mliv
  ☆27Updated 2 years ago
• Osier-Yi / SITE
  ☆58Updated 3 years ago
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆117Updated last year
• oddrose / cfrnet
  Counterfactual Regression
  ☆23Updated 8 years ago
• YuhangZhou88 / ESL_Solution
  ☆272Updated 2 years ago
• nuster1128 / Awesome-Causal-Papers
  We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
  ☆82Updated 2 years ago
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 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
• wangyt95 / LinearRegression-Notes
  For sharing purposes
  ☆27Updated last year
• anpwu / DeR-CFR
  ☆19Updated 3 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆53Updated 4 years ago