MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
☆44Apr 17, 2024Updated 2 years ago
Alternatives and similar repositories for MetaQuantus
Users that are interested in MetaQuantus are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS XAIA & Springer] Code and notebooks to paper "A Fresh Look at Sanity Checks for Saliency Maps"☆25Jul 12, 2024Updated 2 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆143Jan 14, 2026Updated 7 months ago
- Mechanistic understanding and validation of large AI models with SemanticLens☆54Aug 23, 2026Updated last week
- NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…☆22May 11, 2023Updated 3 years ago
- GitHub repository for DORA: Data-agnOstic Representation Analysis paper. DORA allows to find outlier representations in Deep Neural Netwo…☆27Apr 23, 2026Updated 4 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆674Aug 20, 2026Updated last week
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆16Jan 16, 2024Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆60Updated this week
- [NeurIPS 2025 MechInterp Workshop - Spotlight] Official implementation of the paper "RelP: Faithful and Efficient Circuit Discovery in La…☆29Nov 3, 2025Updated 9 months ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆19Jun 22, 2022Updated 4 years ago
- Explaining the unique nature of individual gait patterns with deep learning☆28Jan 18, 2021Updated 5 years ago
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆20Jan 17, 2024Updated 2 years ago
- Pruning CNN using CNN with toy example☆23Jun 21, 2021Updated 5 years ago
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…☆44Mar 23, 2026Updated 5 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official PyTorch implementation of improved B-cos models☆61Dec 25, 2025Updated 8 months ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆27Dec 9, 2024Updated last year
- Introduction to exploratory data analysis course for Mathematics and data analysis studies in Spring 2022/2023☆16Aug 8, 2023Updated 3 years ago
- This repository provides a summarization of recent empirical studies/human studies that measure human understanding with machine explanat…☆14Jul 24, 2024Updated 2 years ago
- 👋 Aligning Human & Machine Vision using explainability☆55Jul 14, 2023Updated 3 years ago
- ☆17Mar 14, 2025Updated last year
- A simple and efficient baseline for data attribution☆11Nov 10, 2023Updated 2 years ago
- RAG Hallucination Detecting By LRP.☆12Mar 31, 2025Updated last year
- ☆16Jun 8, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆29Nov 2, 2021Updated 4 years ago
- kaggle - RSNA STR Pulmonary Embolism Detection☆10Nov 22, 2020Updated 5 years ago
- [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍☆47Nov 6, 2024Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆34Oct 3, 2023Updated 2 years ago
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆386Jul 23, 2025Updated last year
- Codebase for Mechanistic Mode Connectivity☆13Jul 14, 2023Updated 3 years ago
- ☆11Feb 28, 2024Updated 2 years ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆16Feb 20, 2026Updated 6 months ago
- FastClassification is a tensorflow toolbox for class classification. It provides a training module with various backbones and training tr…☆15Jun 26, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging. Arxiv, 2024.☆16Oct 28, 2024Updated last year
- ☆17Jun 5, 2024Updated 2 years ago
- DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactu…☆10Oct 9, 2024Updated last year
- Code showing how to port ResNet Pytorch weights to Tensorflow 2.0☆11Dec 8, 2022Updated 3 years ago
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆20May 29, 2024Updated 2 years ago
- ☆13Nov 12, 2024Updated last year
- ☆14Jun 12, 2023Updated 3 years ago