AI-SDC / SACRO-ML
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
☆24Updated this week
Related projects ⓘ
Alternatives and complementary repositories for SACRO-ML
- Resources for Machine Learning Explainability☆68Updated 2 months ago
- This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…☆23Updated 2 years ago
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆12Updated 9 months ago
- Learning clinical-decision rules with interpretable models.☆20Updated last year
- IT-48832☆10Updated 8 months ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 6 months ago
- Interpretable ML for TabPFN☆10Updated 7 months ago
- ☆23Updated last month
- The code for the paper "MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement"☆18Updated 6 months ago
- ☆16Updated 3 months ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- AutoML Two-Sample Test☆19Updated 2 years ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆17Updated 7 months ago
- ShapleyVIC: Shapley Variable Importance Cloud for Interpretable Machine Learning☆18Updated 5 months ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated 6 months ago
- Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)☆9Updated last year
- impelmentation of https://arxiv.org/pdf/2001.05647.pdf☆30Updated 3 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Updated 2 years ago
- ☆12Updated 2 years ago
- TorchEsegeta: Interpretability and Explainability pipeline for PyTorch☆19Updated 9 months ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆16Updated 6 months ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆38Updated 7 months ago
- TemporAI: ML-centric Toolkit for Medical Time Series☆100Updated 11 months ago
- h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations☆15Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆27Updated 2 years ago
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆28Updated 2 years ago
- ☆26Updated last year
- Code for the paper "Model Agnostic Interpretability for Multiple Instance Learning".☆13Updated 2 years ago
- A Natural Language Interface to Explainable Boosting Machines☆60Updated 4 months ago
- PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuatio…☆25Updated 2 years ago