dplecko / CFA
Causal Fairness Analysis
☆11Updated 2 months ago
Related projects: ⓘ
- Metalearners for Survival Data☆13Updated last year
- Simulations for predictive model selection in causal inference☆13Updated this week
- ☆46Updated 6 months ago
- Repository for the overview paper "Deep Learning for Survival Analysis: A Survey"☆20Updated 3 months ago
- Adjustment Identification Distance: A gadjid for Causal Structure Learning☆9Updated 2 months ago
- ACES: Automatic Cohort Extraction System for Event-Streams☆21Updated 2 weeks ago
- Deep survival analysis made easy☆56Updated last month
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆19Updated 2 years ago
- Dynamic Deep Hit - Pytorch implementation☆20Updated 5 months ago
- The most comprehensive Python package for evaluating survival analysis models.☆21Updated 2 months ago
- ☆48Updated 2 years ago
- An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.☆21Updated last year
- SurvTRACE: Transformers for Survival Analysis with Competing Events☆44Updated 11 months ago
- Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021☆29Updated last year
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆11Updated 3 years ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆13Updated 2 years ago
- Tutorial_Computational_Causal_Inference_Estimators☆28Updated 2 years ago
- ☆27Updated 2 years ago
- ☆13Updated 9 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆41Updated last month
- A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.☆110Updated last week
- Study on mechanical power in MIMIC-III and eICU-CRD☆31Updated 5 years ago
- DeepHazard: Neural Network for Time Varying Risks☆16Updated 3 years ago
- Resources for Machine Learning Explainability☆67Updated 2 weeks ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆25Updated 2 years ago
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆78Updated 8 months ago
- A list of papers/resources in Survival Analysis that I have read or would like to read.☆35Updated last month
- Short tutorials on the use of machine learning methods for causal inference☆46Updated last year
- A simple set of MEDS polars-based ETL and transformation functions☆15Updated 2 weeks ago
- SurvivalGAN: Generating Time-to-Event Data for Survival Analysis☆18Updated last year