jsyoon0823 / GANITELinks
Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
β61Updated 5 years ago
Alternatives and similar repositories for GANITE
Users that are interested in GANITE are comparing it to the libraries listed below
Sorting:
- ππ Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatmβ¦β88Updated 2 years ago
- β58Updated 3 years ago
- β45Updated 6 years ago
- β39Updated 6 years ago
- ββ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.β128Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring codeβ83Updated 7 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.β140Updated 11 months ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.β25Updated 2 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bicaβ¦β30Updated 4 years ago
- Causal Inferenceβ10Updated 5 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bβ¦β59Updated last year
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.β75Updated 3 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. β¦β52Updated 4 years ago
- β33Updated 2 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effeβ¦β77Updated 2 years ago
- Non-parametrics for Causal Inferenceβ47Updated 3 years ago
- Counterfactual Regressionβ23Updated 8 years ago
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20β¦β12Updated 4 years ago
- Counterfactual Regressionβ307Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Modelsβ339Updated 4 years ago
- BITES: Balanced Individual Treatment Effect for Survival dataβ18Updated last year
- β268Updated 3 years ago
- Causal Simulations for Uplift Modelingβ12Updated 5 years ago
- β27Updated 2 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.β105Updated 4 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"β25Updated 2 years ago
- β92Updated 2 years ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)β49Updated 6 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Predictionβ156Updated 3 years ago
- β35Updated 5 years ago