Alternatives and similar repositories for TARNet

Users that are interested in TARNet 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"
  ☆25Updated 2 years ago
• claudiashi57 / dragonnet
  ☆268Updated 3 years ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆23Updated 8 years ago
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆42Updated 2 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆140Updated 11 months ago
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆86Updated last year
• sschrod / BITES
  BITES: Balanced Individual Treatment Effect for Survival data
  ☆18Updated last year
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆118Updated last year
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆61Updated 5 years ago
• Osier-Yi / SITE
  ☆58Updated 3 years ago
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆88Updated 2 years ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years ago
• haoxuanli-pku / WWW23-Balancing-Unobserved-Confounding
  ☆9Updated 11 months ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆128Updated 2 years ago
• 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…
  ☆328Updated 7 months ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 3 years ago
• songjiang0909 / Causal-Inference-on-Networked-Data
  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
  ☆17Updated 2 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆161Updated last year
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆13Updated 4 months ago
• anpwu / DeR-CFR
  ☆19Updated 3 years ago
• jc1850 / Learning-Causal-Networks-in-Python
  4th Year project aiming to implement PC, FCI and RFCI algorithms in python
  ☆14Updated 6 years ago
• JackHCC / Awesome-Uplift-Model
  🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
  ☆133Updated 2 years ago
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆96Updated 3 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)
  ☆83Updated 2 years ago
• BokwaiHo / revenue_uplift
  Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)
  ☆25Updated last year
• HeYueThu / CausPref
  Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)
  ☆18Updated 3 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
• hlzhang109 / TransTEE
  ☆33Updated 2 years ago
• hebowei2000 / revenue_uplift
  Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)
  ☆14Updated last year
• anpwu / Causal4Application
  ☆23Updated 3 years ago