sschrod / BITESLinks
BITES: Balanced Individual Treatment Effect for Survival data
☆18Updated 2 years ago
Alternatives and similar repositories for BITES
Users that are interested in BITES are comparing it to the libraries listed below
Sorting:
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆65Updated 5 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆92Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆152Updated last year
- Counterfactual Regression☆25Updated 9 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆131Updated 2 years ago
- ☆287Updated 3 years ago
- ☆59Updated 3 years ago
- Causal Inference☆11Updated 5 years ago
- ☆35Updated 3 months ago
- ☆45Updated 6 years ago
- Counterfactual Regression☆316Updated 3 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Updated 4 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 3 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 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
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆50Updated 6 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆354Updated 5 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆24Updated 2 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆66Updated last year
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆71Updated 5 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆77Updated 4 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆64Updated 5 years ago
- pytorch implementation of dragonnet☆46Updated 3 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆91Updated 3 years ago
- CPDAG Estimation using PC-Algorithm☆95Updated 3 years ago
- ☆40Updated 7 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆84Updated 4 years ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆135Updated last year
- Causal Discovery from Nonstationary/Heterogeneous Data.☆55Updated 5 years ago