oneTaken/awesome_deep_learning_interpretability

• highreadme#1

  Reposition the README's opening sentence to clarify its nature as an 'awesome list'

  原因：

  当前

  # awesome_deep_learning_interpretability
  深度学习近年来关于模型解释性的相关论文。

  复制粘贴的修复

  复制

  # awesome_deep_learning_interpretability
  一个精选的深度学习可解释性（XAI）高引用/顶会论文与代码的Awesome List。

  待办完成忽略
• mediumhomepage#2

  Add a homepage URL to the repository metadata

  原因：

  复制粘贴的修复

  复制

  Set the homepage URL to `https://github.com/oneTaken/awesome_deep_learning_interpretability`

  待办完成忽略
• lowtopics#3

  Add 'xai' and 'explainable-ai' to the repository topics

  原因：

  当前

  awesome, awesome-list, chainer, computer-vision, cvpr, deep-learning, eccv, iccv, iclr, icml, interpretability, keras, matlab, neural-network, neurips, nlp, papers, pytorch, tensorflow, torch

  复制粘贴的修复

  复制

  awesome, awesome-list, chainer, computer-vision, cvpr, deep-learning, eccv, explainable-ai, iccv, iclr, icml, interpretability, keras, matlab, neural-network, neurips, nlp, papers, pytorch, tensorflow, torch, xai

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Where can I find recent research papers on explaining neural network behavior?

  你：未被推荐
  AI 推荐顺序：

  1. arXiv.org
  2. Google Scholar
  3. SHAP
  4. LIME
  5. Grad-CAM
  6. Integrated Gradients
  7. NeurIPS
  8. ICML
  9. CVPR
  10. ICLR
  11. AAAI
  12. Journal of Machine Learning Research (JMLR)
  13. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  14. Nature Machine Intelligence
  15. GitHub
  16. Twitter

  AI 推荐了 16 个替代方案，却始终没点名 oneTaken/awesome_deep_learning_interpretability。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are the best methods and code examples for interpreting deep learning models?

  你：未被推荐
  AI 推荐顺序：

  1. shap
  2. lime
  3. tf-keras-vis
  4. pytorch-gradcam
  5. Captum
  6. Hugging Face Transformers
  7. bertviz
  8. Lucid
  9. eli5
  10. scikit-learn

  AI 推荐了 10 个替代方案，却始终没点名 oneTaken/awesome_deep_learning_interpretability。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of oneTaken/awesome_deep_learning_interpretability?

  pass
  ⚠AI 未点名 oneTaken/awesome_deep_learning_interpretability —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts oneTaken/awesome_deep_learning_interpretability in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 oneTaken/awesome_deep_learning_interpretability

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo oneTaken/awesome_deep_learning_interpretability solve, and who is the primary audience?

  pass
  ⚠AI 未点名 oneTaken/awesome_deep_learning_interpretability —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？