RRepoGEO

REPOGEO REPORT · LITE

sbrugman/deep-learning-papers

Default branch master · commit 358e2372 · scanned 6/26/2026, 9:23:02 PM

GitHub: 3,183 stars · 407 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface sbrugman/deep-learning-papers, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the content of the Creative Commons Attribution 4.0 International License (CC-BY-4.0).
  • highreadme#2
    Reposition the README H1 to highlight 'state-of-the-art' and 'curated'

    Why:

    CURRENT
    # Deep Learning Papers by task
    COPY-PASTE FIX
    # Curated State-of-the-Art Deep Learning Papers by Task
  • mediumabout#3
    Add the repository URL as the homepage in the About section

    Why:

    COPY-PASTE FIX
    https://github.com/sbrugman/deep-learning-papers

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface sbrugman/deep-learning-papers
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 1×
  2. arXiv Sanity Preserver · recommended 1×
  3. Distill.pub · recommended 1×
  4. AI Alignment Forum · recommended 1×
  5. floodsung/Deep-Learning-Papers-Reading-Roadmap · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of state-of-the-art deep learning papers?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. arXiv Sanity Preserver
    3. Distill.pub
    4. AI Alignment Forum
    5. Deep-Learning-Papers-Reading-Roadmap (floodsung/Deep-Learning-Papers-Reading-Roadmap)
    6. awesome-deep-learning (ChristosChristofidis/awesome-deep-learning)
    7. NeurIPS
    8. ICML
    9. ICLR
    10. CVPR
    11. ICCV
    12. ACL
    13. EMNLP

    AI recommended 13 alternatives but never named sbrugman/deep-learning-papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the essential deep learning research papers categorized by application area?
    you: not recommended
    AI recommended (in order):
    1. AlexNet
    2. VGGNet
    3. ResNet
    4. Inception
    5. DenseNet
    6. R-CNN
    7. Fast R-CNN
    8. Faster R-CNN
    9. YOLO
    10. SSD
    11. FCN
    12. U-Net
    13. DeepLab
    14. PSPNet
    15. GANs
    16. DCGAN
    17. StyleGAN
    18. VQ-VAE
    19. VQ-VAE-2
    20. DALL-E
    21. DALL-E 2
    22. DDPM
    23. Word2Vec
    24. GloVe
    25. FastText
    26. LSTM
    27. GRU
    28. Sequence to Sequence Learning
    29. Attention
    30. Transformer
    31. BERT
    32. GPT
    33. RoBERTa
    34. T5
    35. DQN
    36. Double DQN
    37. Prioritized Experience Replay
    38. REINFORCE
    39. A2C/A3C
    40. PPO
    41. DDPG
    42. SAC
    43. AlphaGo
    44. MuZero
    45. Adam
    46. Batch Normalization
    47. Dropout
    48. ImageNet Classification with Deep Convolutional Neural Networks
    49. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
    50. GCN
    51. GraphSAGE

    AI recommended 51 alternatives but never named sbrugman/deep-learning-papers. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of sbrugman/deep-learning-papers?
    pass
    AI did not name sbrugman/deep-learning-papers — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts sbrugman/deep-learning-papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sbrugman/deep-learning-papers explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo sbrugman/deep-learning-papers solve, and who is the primary audience?
    pass
    AI did not name sbrugman/deep-learning-papers — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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sbrugman/deep-learning-papers — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite