A collection of research materials on explainable AI/ML
☆1,628Mar 7, 2026Updated last month
Alternatives and similar repositories for Awesome-explainable-AI
Users that are interested in Awesome-explainable-AI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated list of awesome responsible machine learning resources.☆4,008Mar 16, 2026Updated last month
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆853May 31, 2022Updated 3 years ago
- Interpretability and explainability of data and machine learning models☆1,774Mar 18, 2026Updated last month
- XAI - An eXplainability toolbox for machine learning☆1,232Nov 29, 2025Updated 4 months ago
- Algorithms for explaining machine learning models☆2,624Oct 17, 2025Updated 6 months ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Fit interpretable models. Explain blackbox machine learning.☆6,830Updated this week
- 💡 Adversarial attacks on explanations and how to defend them☆335Nov 30, 2024Updated last year
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,507Jul 13, 2025Updated 9 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆445Aug 21, 2024Updated last year
- List of relevant resources for machine learning from explanatory supervision☆163Jul 14, 2025Updated 9 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆226Jun 28, 2022Updated 3 years ago
- ☆917Mar 19, 2023Updated 3 years ago
- Model interpretability and understanding for PyTorch☆5,600Updated this week
- OmniXAI: A Library for eXplainable AI☆966Jul 23, 2024Updated last year
- 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.
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆658Mar 9, 2026Updated last month
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆77Mar 26, 2022Updated 4 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,463Jan 20, 2026Updated 2 months ago
- This repository is all about papers and tools of Explainable AI☆36Dec 20, 2019Updated 6 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,286Updated this week
- Lime: Explaining the predictions of any machine learning classifier☆12,119Jul 25, 2024Updated last year
- Book about interpretable machine learning☆5,273Jan 15, 2026Updated 3 months ago
- 深度学习近年来关于神经网络模型解释性的相关高 引用/顶会论文(附带代码)☆766Apr 8, 2024Updated 2 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Mar 25, 2022Updated 4 years 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.
- A toolbox to iNNvestigate neural networks' predictions!☆1,306Apr 11, 2025Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,578Apr 10, 2026Updated last week
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆302Oct 2, 2023Updated 2 years ago
- Repository for the paper "Benchmarking and Survey of Explanation Methods for Black Box Models"☆18Jun 28, 2022Updated 3 years ago
- Explainable AI with Python, published by Packt☆165Mar 2, 2026Updated last month
- 👋 Xplique is a Neural Networks Explainability Toolbox☆741Mar 31, 2026Updated 2 weeks ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,483Feb 11, 2026Updated 2 months ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆47May 30, 2025Updated 10 months ago
- A collection of algorithms of counterfactual explanations.☆53Mar 22, 2021Updated 5 years 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.
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆681Jun 17, 2024Updated last year
- A collection of research papers and software related to explainability in graph machine learning.☆1,986Apr 4, 2022Updated 4 years ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,181Apr 2, 2026Updated 2 weeks ago
- H2O.ai Machine Learning Interpretability Resources☆492Dec 12, 2020Updated 5 years ago
- A curated list of awesome self-supervised methods☆6,381Feb 24, 2026Updated last month
- Model Agnostic Counterfactual Explanations☆90Sep 30, 2022Updated 3 years ago
- Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, I…☆12,750Mar 29, 2026Updated 3 weeks ago