[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
☆677Sep 5, 2026Updated last month
Alternatives and similar repositories for Quantus
Users that are interested in Quantus are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆46Apr 17, 2024Updated 2 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆248May 13, 2026Updated 4 months ago
- 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
- A toolkit for quantitative evaluation of data attribution methods.☆60Sep 30, 2026Updated last week
- Mechanistic understanding and validation of large AI models with SemanticLens☆55Aug 23, 2026Updated last month
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆260Aug 17, 2024Updated 2 years ago
- PyPI package for DualXDA for efficient data attribution and feature-level explanations of training data influence☆22Mar 6, 2026Updated 7 months ago
- 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
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆253Aug 11, 2026Updated last month
- A toolbox to iNNvestigate neural networks' predictions!☆1,308Apr 11, 2025Updated last year
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆17Aug 30, 2026Updated last month
- 👋 Xplique is a Neural Networks Explainability Toolbox☆754Sep 28, 2026Updated last week
- Dataset and code for the CLEVR-XAI dataset.☆35Oct 3, 2023Updated 3 years ago
- CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.☆32Apr 30, 2026Updated 5 months ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆26Jun 26, 2023Updated 3 years ago
- Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers, Paper accepted at eXCV workshop of ECCV 2…☆32Jan 6, 2025Updated last year
- Interpretability and explainability of data and machine learning models☆1,808Sep 5, 2026Updated last month
- ☆18Jun 3, 2026Updated 4 months ago
- A Python framework for the quantitative evaluation of eXplainable AI methods☆18Mar 29, 2023Updated 3 years ago
- Model interpretability and understanding for PyTorch☆5,711Oct 1, 2026Updated last week
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆16Jan 16, 2024Updated 2 years ago
- A collection of research materials on explainable AI/ML☆1,659Aug 19, 2026Updated last month
- GitHub repository for DORA: Data-agnOstic Representation Analysis paper. DORA allows to find outlier representations in Deep Neural Netwo…☆28Apr 23, 2026Updated 5 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆20Aug 30, 2026Updated last month
- ☆14Jun 12, 2023Updated 3 years ago
- [NeurIPS 2025 MechInterp Workshop - Spotlight] Official implementation of the paper "RelP: Faithful and Efficient Circuit Discovery in La…☆29Nov 3, 2025Updated 11 months ago
- An evaluation toolbox for machine learning explanations☆17Jan 7, 2024Updated 2 years ago
- bayesian lime☆18Aug 3, 2024Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆305Oct 2, 2023Updated 3 years ago
- Algorithms for explaining machine learning models☆2,648Oct 17, 2025Updated 11 months ago
- Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation☆66Feb 14, 2022Updated 4 years ago
- OmniXAI: A Library for eXplainable AI☆975Jun 2, 2026Updated 4 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 💡 Adversarial attacks on explanations and how to defend them☆335Nov 30, 2024Updated last year
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆78Mar 26, 2022Updated 4 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆126Mar 22, 2021Updated 5 years ago
- InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。☆262Sep 4, 2024Updated 2 years ago
- ☆30Jan 30, 2025Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆228Jun 28, 2022Updated 4 years ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆25Mar 27, 2025Updated last year