Wickstrom / RELAXLinks
Code for RELAX, a framework for explaining representations.
☆10Updated last year
Alternatives and similar repositories for RELAX
Users that are interested in RELAX are comparing it to the libraries listed below
Sorting:
- Resources for Machine Learning Explainability☆78Updated 9 months ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- counterfactuals for magnetic resonance images of multiple sclerosis☆27Updated 4 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆25Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆34Updated last year
- [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…☆23Updated last year
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆65Updated 2 years ago
- ☆78Updated last year
- Explanation by Progressive Exaggeration☆20Updated 2 years ago
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆12Updated last year
- ☆48Updated last year
- h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations☆16Updated last year
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆62Updated 2 weeks ago
- CoSy: Evaluating Textual Explanations☆16Updated 4 months ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆24Updated 3 months ago
- Cross-Care☆11Updated 11 months ago
- ☆13Updated 2 years ago
- Code for Diff-SCM paper☆96Updated 2 years ago
- Conformal prediction for uncertainty quantification in image segmentation☆23Updated 5 months ago
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆19Updated last year
- Gender Bias Extra Material☆13Updated 2 years ago
- Evidential Calibration☆11Updated 3 years ago
- Improving the Fairness of Chest X-ray Classifiers☆14Updated 3 years ago
- Large-scale uncertainty benchmark in deep learning.☆60Updated 3 weeks ago
- Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.☆53Updated 10 months ago
- ☆26Updated 6 months ago
- A fairness library in PyTorch.☆29Updated 10 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆128Updated 11 months ago
- ☆17Updated last year