Wickstrom / RELAXLinks
Code for RELAX, a framework for explaining representations.
☆11Updated last year
Alternatives and similar repositories for RELAX
Users that are interested in RELAX are comparing it to the libraries listed below
Sorting:
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆233Updated 3 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆137Updated last year
- ☆122Updated 3 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆39Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- Resources for Machine Learning Explainability☆86Updated last year
- Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆25Updated 2 weeks ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆75Updated 3 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations☆16Updated last year
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆223Updated 3 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆98Updated 3 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆160Updated 3 years ago
- A fairness library in PyTorch.☆32Updated last year
- Gender Bias Extra Material☆13Updated 2 years ago
- Generating global explanations from local ones☆11Updated 3 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆69Updated last month
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆100Updated 8 months ago
- [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…☆25Updated 3 months ago
- ☆86Updated 2 years ago
- Explanation by Progressive Exaggeration☆20Updated 2 years ago
- Large-scale uncertainty benchmark in deep learning.☆65Updated 6 months ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- ☆18Updated 2 years ago
- ☆32Updated 11 months ago
- Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.☆54Updated last year
- Generating and Evaluating Post-Hoc Explanation from Deep Neural Networks for Multi-Modal Medical Image Analysis Tasks☆23Updated last year