altamiracorp / awesome-xai
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
☆141Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-xai
- 💡 Adversarial attacks on explanations and how to defend them☆299Updated 8 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆232Updated 2 months ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆73Updated 2 years ago
- A curated list of awesome Fairness in AI resources☆313Updated last year
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆72Updated 2 years ago
- List of relevant resources for machine learning from explanatory supervision☆152Updated 4 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆196Updated 2 years ago
- A collection of research materials on explainable AI/ML☆1,417Updated 2 weeks ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆552Updated this week
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆730Updated last month
- Responsible AI knowledge base☆97Updated last year
- A curated list of awesome academic research, books, code of ethics, data sets, institutes, newsletters, principles, podcasts, reports, to…☆54Updated this week
- ☆565Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆281Updated last year
- A curated list of trustworthy deep learning papers. Daily updating...☆344Updated this week
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆57Updated last year
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- A repository for summaries of recent explainable AI/Interpretable ML approaches☆65Updated last month
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆80Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆118Updated 5 months ago
- A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.☆336Updated 11 months ago
- This repository is all about papers and tools of Explainable AI☆36Updated 4 years ago
- As part of the Explainable AI Toolkit (XAITK), XAITK-Saliency is an open source, explainable AI framework for visual saliency algorithm i…☆83Updated 2 weeks ago
- Existing Literature about Machine Unlearning☆783Updated this week
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆821Updated 2 years ago
- ☆184Updated 3 years ago
- ☆33Updated 4 months ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆550Updated 9 months ago
- In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.☆109Updated 8 months ago
- Explainable AI with Python, published by Packt☆154Updated last year