Alternatives and similar repositories for varying-coefficient-net-with-functional-tr:

Users that are interested in varying-coefficient-net-with-functional-tr are comparing it to the libraries listed below

• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆87Updated last year
• anpwu / DeR-CFR
  ☆18Updated 3 years ago
• Osier-Yi / SITE
  ☆58Updated 2 years ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆23Updated 8 years ago
• claudiashi57 / dragonnet
  ☆261Updated 2 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆58Updated 4 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆136Updated 8 months ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆126Updated last year
• anpwu / Causal4Application
  ☆23Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆74Updated 3 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆301Updated 2 years ago
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆75Updated last year
• rik-helwegen / CEVAE_pytorch
  ☆41Updated 6 years ago
• ioanabica / SCIGAN
  Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…
  ☆28Updated 4 years ago
• www2022paper / WWW-2022-PAPER-SUPPLEMENTARY-MATERIALS
  ☆33Updated 3 years ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆81Updated 6 years ago
• hlzhang109 / TransTEE
  ☆32Updated 2 years ago
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆79Updated 5 years ago
• causal-machine-learning-lab / mliv
  ☆27Updated 2 years ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆21Updated last year
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated last year
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆36Updated 2 years ago
• aifor / eeuen
  code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"
  ☆29Updated 3 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】
  ☆123Updated last year
• alwaysmodest / A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications
  ☆28Updated 5 months ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆66Updated 7 months ago
• dgliu / KDD23_EFIN
  Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"
  ☆55Updated 7 months ago
• paras2612 / CauseBox
  Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…
  ☆20Updated 3 years ago
• sjblim / rmsn_nips_2018
  ☆37Updated 6 years ago
• yixinwang / causal-recsys-public
  ☆45Updated 2 years ago