sschrod / BITES
BITES: Balanced Individual Treatment Effect for Survival data
☆18Updated last year
Related projects ⓘ
Alternatives and complementary repositories for BITES
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆54Updated 4 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆84Updated last year
- ☆58Updated 2 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆123Updated last year
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆128Updated 5 months ago
- ☆37Updated 5 years ago
- ☆38Updated 5 years ago
- Causal Inference☆10Updated 4 years ago
- Counterfactual Regression☆24Updated 8 years ago
- ☆31Updated 2 years ago
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆11Updated 3 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆56Updated 8 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆80Updated 6 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆28Updated 3 years ago
- Dynamic Deep Hit - Pytorch implementation☆22Updated 8 months ago
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Updated 4 years ago
- ☆249Updated 2 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆19Updated 3 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆51Updated 3 years ago
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆65Updated 3 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆59Updated 4 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆72Updated 2 years ago
- ☆89Updated last year
- ☆25Updated 7 months ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆19Updated last year
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆74Updated 3 years ago
- ☆28Updated 2 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆21Updated last year
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆12Updated 2 years ago
- Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementati…☆139Updated 3 years ago