wangyongjie-ntu/Awesome-explainable-AI
A curated collection of research papers and resources on explainable AI and interpretability in machine learning.
Not currently ranked — collecting fresh signals.
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This repository aggregates frontier research on explainable AI (XAI), organizing publications by use cases and methodologies including counterfactual explanations, interpretability techniques, and model recourse. It serves as a reference hub for the growing body of literature on making machine learning models more transparent and accountable.
Frequently asked
- What is wangyongjie-ntu/Awesome-explainable-AI?
- A curated collection of research papers and resources on explainable AI and interpretability in machine learning.
- Is Awesome-explainable-AI open source?
- Yes — wangyongjie-ntu/Awesome-explainable-AI is open source, released under the MIT license.
- What language is Awesome-explainable-AI written in?
- wangyongjie-ntu/Awesome-explainable-AI is primarily written in Markdown.
- How popular is Awesome-explainable-AI?
- wangyongjie-ntu/Awesome-explainable-AI has 1.7k stars on GitHub.
- Where can I find Awesome-explainable-AI?
- wangyongjie-ntu/Awesome-explainable-AI is on GitHub at https://github.com/wangyongjie-ntu/Awesome-explainable-AI.