jsyoon0823 / GANITE
Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
☆59Updated 4 years ago
Alternatives and similar repositories for GANITE:
Users that are interested in GANITE are comparing it to the libraries listed below
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆87Updated 2 years ago
- ☆59Updated 3 years ago
- Causal Inference☆10Updated 4 years ago
- ☆44Updated 6 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆127Updated 2 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated last year
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- ☆38Updated 6 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated last year
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆82Updated 6 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆29Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆136Updated 9 months ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆74Updated 3 years ago
- 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
- Counterfactual Regression☆23Updated 8 years ago
- Counterfactual Regression☆304Updated 2 years ago
- ☆33Updated 2 years ago
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Updated 4 years ago
- Non-parametrics for Causal Inference☆44Updated 3 years ago
- ☆263Updated 3 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆23Updated last year
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆12Updated 3 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆335Updated 4 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆59Updated 4 years ago
- Causal Discovery from Nonstationary/Heterogeneous Data.☆53Updated 4 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆30Updated 5 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆76Updated 2 years ago
- ☆92Updated 2 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago