sbrugman/deep-learning-papers

• highreadme#1

  Reposition the README H1 to emphasize 'curated collection'

  原因：

  当前

  # Deep Learning Papers by task

  复制粘贴的修复

  复制

  # A Curated Collection of Deep Learning Papers by Task

  待办完成忽略
• highlicense#2

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Create a `LICENSE` file in the repository root with the text of a standard open-source license like MIT or Apache-2.0, or clarify the licensing terms directly in the README.

  待办完成忽略
• mediumhomepage#3

  Add a homepage URL to the repository's About section

  原因：

  复制粘贴的修复

  复制

  Add a relevant URL (e.g., a GitHub Pages link for the repo, or a related project page) to the 'Homepage' field in the repository's 'About' section.

  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 a curated list of current state-of-the-art deep learning research papers?

  你：未被推荐
  AI 推荐顺序：

  1. Papers With Code
  2. arXiv Sanity Preserver
  3. Distill.pub
  4. The Batch
  5. AI Alignment Forum
  6. LessWrong
  7. Twitter

  AI 推荐了 7 个替代方案，却始终没点名 sbrugman/deep-learning-papers。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are the best deep learning papers categorized by specific tasks like text or visual processing?

  你：未被推荐
  AI 推荐顺序：

  1. AlexNet
  2. VGGNet
  3. ResNet
  4. Inception (GoogLeNet)
  5. EfficientNet
  6. R-CNN
  7. Faster R-CNN
  8. YOLO (You Only Look Once)
  9. SSD (Single Shot MultiBox Detector)
  10. DETR
  11. FCN (Fully Convolutional Networks)
  12. U-Net
  13. DeepLab (v3+)
  14. Mask R-CNN
  15. GANs (Generative Adversarial Networks)
  16. DCGAN (Deep Convolutional GANs)
  17. StyleGAN
  18. DDPM (Denoising Diffusion Probabilistic Models)
  19. Word2Vec
  20. GloVe
  21. LSTM (Long Short-Term Memory)
  22. GRU (Gated Recurrent Unit)
  23. Attention Is All You Need (Transformer)
  24. BERT (Bidirectional Encoder Representations from Transformers)
  25. GPT (Generative Pre-trained Transformer)
  26. T5 (Text-to-Text Transfer Transformer)
  27. RoBERTa
  28. Neural Machine Translation by Jointly Learning to Align and Translate
  29. DQN (Deep Q-Network)
  30. AlphaGo
  31. A3C (Asynchronous Advantage Actor-Critic)
  32. PPO (Proximal Policy Optimization Algorithms)
  33. SAC (Soft Actor-Critic)
  34. Dropout
  35. Batch Normalization
  36. Adam (Adaptive Moment Estimation)

  AI 推荐了 36 个替代方案，却始终没点名 sbrugman/deep-learning-papers。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 sbrugman/deep-learning-papers?

  pass
  ✓AI 明确点名了 sbrugman/deep-learning-papers

  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 sbrugman/deep-learning-papers in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 sbrugman/deep-learning-papers

  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 sbrugman/deep-learning-papers solve, and who is the primary audience?

  pass
  ⚠AI 未点名 sbrugman/deep-learning-papers —— 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？