MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
☆46Apr 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:
- ☆12Aug 27, 2025Updated last year
- [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☆141Jan 14, 2026Updated 9 months ago
- Mechanistic understanding and validation of large AI models with SemanticLens☆55Aug 23, 2026Updated 2 months ago
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆21Jan 28, 2026Updated 9 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 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
- PyPI package for DualXDA for efficient data attribution and feature-level explanations of training data influence☆22Mar 6, 2026Updated 7 months ago
- RELAX: Representation Learning Explainability - perturbation-based explainability for representation learning (IJCV 2023)☆13Oct 10, 2026Updated 3 weeks ago
- ☆12Oct 14, 2024Updated 2 years ago
- GitHub repository for DORA: Data-agnOstic Representation Analysis paper. DORA allows to find outlier representations in Deep Neural Netwo…☆28Apr 23, 2026Updated 6 months ago
- A toolkit for quantitative evaluation of data attribution methods.☆61Sep 30, 2026Updated last month
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆17Jan 16, 2024Updated 2 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆249May 13, 2026Updated 5 months ago
- [NeurIPS 2025] PRISM is a multi-concept feature description framework which can identify and score polysemantic features.☆14Jun 26, 2026Updated 4 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆256Aug 11, 2026Updated 2 months ago
- LENS Project☆55Feb 22, 2024Updated 2 years ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆17Apr 8, 2024Updated 2 years 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
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆17Aug 7, 2022Updated 4 years ago
- Repository for "From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance"☆11Jun 8, 2025Updated last year
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆19Jan 17, 2024Updated 2 years ago
- Pruning CNN using CNN with toy example☆23Jun 21, 2021Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Dataset and code for the CLEVR-XAI dataset.☆35Oct 3, 2023Updated 3 years ago
- [EMNLP 2024 (main)] Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters☆14Nov 5, 2024Updated last year
- CuratorKIT : Data curation and synthetic data generation for LLM post-training.☆31Oct 13, 2026Updated 2 weeks ago
- Compositional Explanations of Neurons, NeurIPS 2020 https://arxiv.org/abs/2006.14032☆27Apr 9, 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 7 months ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 4 years ago
- Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"☆39Dec 22, 2021Updated 4 years ago
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆20Aug 30, 2026Updated 2 months ago
- ☆21May 1, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- XAI Experiments on an Annotated Dataset of Wild Bee Images☆20Sep 5, 2025Updated last year
- ☆11Jul 29, 2024Updated 2 years ago
- Explainable AI in Julia.☆118Sep 22, 2026Updated last month
- Benchmark to Evaluate EXplainable AI☆21Mar 14, 2025Updated last year
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆28Dec 9, 2024Updated last year
- Code for "On Measuring Faithfulness of Natural Language Explanations"☆23Jul 14, 2026Updated 3 months ago
- [ICML 2024] Matrix Variational Masked Autoencoder (M-MAE) for ICML paper "Information Flow in Self-Supervised Learning" (https://arxiv.or…☆15Sep 17, 2024Updated 2 years ago