interpretml / FasterRisk
Create sparse and accurate risk scoring systems!
☆36Updated 7 months ago
Alternatives and similar repositories for FasterRisk:
Users that are interested in FasterRisk are comparing it to the libraries listed below
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 9 months ago
- ☆54Updated 3 years ago
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆83Updated last year
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆11Updated 3 years ago
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆19Updated 3 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 4 years ago
- ☆22Updated last year
- Epidemiology analysis package☆143Updated last year
- propensity score matching in python☆56Updated 2 years ago
- ☆28Updated 3 years ago
- Competing Risks and Survival Analysis☆81Updated this week
- Python package for comorbidity index calculation☆20Updated 7 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆80Updated 2 months ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆75Updated this week
- Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021☆29Updated 2 years ago
- simple customizable risk scores in python☆136Updated last year
- Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series☆128Updated 2 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆29Updated last year
- ☆46Updated 2 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆49Updated 3 months ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 2 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆70Updated last year
- Simulations for predictive model selection in causal inference☆13Updated 2 months ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆83Updated 7 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Generalized Optimal Sparse Decision Trees☆54Updated last week
- Resources for Machine Learning Explainability☆75Updated 6 months ago
- SurvivalGAN: Generating Time-to-Event Data for Survival Analysis☆27Updated 2 years ago
- Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".☆23Updated 3 years ago