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

• 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
• alwaysmodest / A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications
  ☆33Updated 3 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…
  ☆517Updated 2 years ago
• anpwu / Causal4Application
  ☆26Updated 3 years ago
• DMIRLAB-Group / CDMIR
  ☆34Updated last month
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 4 years ago
• statmlben / CUHK-STAT3009
  Recommender systems in Python
  ☆32Updated last week
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆14Updated 10 months ago
• yfzhang114 / Generalization-Causality
  关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
  ☆1,238Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆743Updated 3 years ago
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆118Updated 2 years ago
• claudiashi57 / dragonnet
  ☆287Updated 3 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆316Updated 3 years ago
• xieliaing / CausalInferenceIntro
  Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
  ☆873Updated 2 months ago
• Wenzhe-Huang / python-causality-handbook-zh
  Causal Inference handbook｜学习因果推断的轻松指南
  ☆47Updated last week
• sschrod / BITES
  BITES: Balanced Individual Treatment Effect for Survival data
  ☆18Updated 2 years ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆25Updated 9 years 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
  ☆33Updated 5 months ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆480Updated 2 years ago
• zhxmdy / Overview-Consumer-Credit-Risk-Assessment
  credit datasets
  ☆11Updated 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…
  ☆340Updated last year
• hedongyan / awesome-causality-identification
  ☆33Updated 2 months ago
• Osier-Yi / SITE
  ☆59Updated 3 years ago
• sanyouwu / Lasso-in-PyTorch
  Why lasso can't produce sparse solution in pytorch
  ☆21Updated 4 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆151Updated last year
• causal-machine-learning-lab / mliv
  ☆31Updated 3 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆65Updated 5 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…
  ☆91Updated 3 years ago
• rphilipzhang / AI-PhD-S24
  Mono repo for the PhD course AI for Business Research (DSME 6635, S24)
  ☆110Updated this week
• dgliu / KDD23_EFIN
  Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"
  ☆84Updated last year