Alternatives and similar repositories for dragonnet

Users that are interested in dragonnet are comparing it to the libraries listed below

• clinicalml / cfrnet
  Counterfactual Regression
  ☆316Updated 3 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆152Updated last year
• 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
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆92Updated 2 years ago
• Osier-Yi / SITE
  ☆59Updated 3 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆131Updated 2 years ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆25Updated 9 years ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆354Updated 5 years ago
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆46Updated 3 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆480Updated 2 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆65Updated 5 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
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆743Updated 3 years ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆660Updated last year
• sschrod / BITES
  BITES: Balanced Individual Treatment Effect for Survival data
  ☆18Updated 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…
  ☆340Updated last year
• 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
  ☆84Updated 7 years ago
• hlzhang109 / TransTEE
  ☆35Updated 2 months ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆165Updated 2 years ago
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆100Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆160Updated 4 years ago
• anpwu / DeR-CFR
  ☆22Updated last month
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆72Updated 7 months ago
• bd2kccd / py-causal
  ☆205Updated 2 years ago
• criteo-research / large-scale-ITE-UM-benchmark
  ☆24Updated 4 years ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆583Updated 6 years ago
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,209Updated last month
• ankits0207 / Learning-representations-for-counterfactual-inference-MyImplementation
  Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…
  ☆12Updated 5 years ago