Alternatives and similar repositories for SITE

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

• oddrose / cfrnet
  Counterfactual Regression
  ☆25Updated 9 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆129Updated 2 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆61Updated 5 years ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years ago
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆90Updated 2 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆311Updated 2 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…
  ☆81Updated 2 years ago
• claudiashi57 / dragonnet
  ☆276Updated 3 years ago
• WeijiaZhang24 / TEDVAE
  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
  ☆25Updated 2 years ago
• hlzhang109 / TransTEE
  ☆35Updated 3 years ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆345Updated 5 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 4 years ago
• 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 4 years ago
• octeufer / Adversarial-Balancing-based-representation-learning-for-Causal-Effect-Inference
  Causal Inference
  ☆10Updated 5 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆143Updated last year
• sschrod / BITES
  BITES: Balanced Individual Treatment Effect for Survival data
  ☆18Updated 2 years ago
• kurowasan / GraN-DAG
  ☆93Updated 2 years ago
• anpwu / Causal4Application
  ☆23Updated 3 years ago
• sjblim / rmsn_nips_2018
  ☆40Updated 6 years ago
• causal-machine-learning-lab / mliv
  ☆27Updated 3 years ago
• ignavierng / notears-tensorflow
  Reimplementation of NOTEARS in Tensorflow
  ☆33Updated 2 years ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 4 years ago
• aaronwtr / cfrnet-reproduction
  Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…
  ☆18Updated 3 years ago
• anpwu / DeR-CFR
  ☆21Updated 3 years ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆49Updated 6 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
  ☆84Updated 7 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆53Updated 5 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
• ioanabica / Time-Series-Deconfounder
  Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …
  ☆52Updated 4 years ago
• GitHubLuCheng / LTEE
  Implementation of paper Long-Term Effect Estimation with Surrogate Representation
  ☆13Updated 4 years ago