RRepoGEO

REPOGEO REPORT · LITE

ybayle/awesome-deep-learning-music

Default branch master · commit 2059f5f7 · scanned 5/26/2026, 6:58:26 AM

GitHub: 2,959 stars · 343 forks

AI VISIBILITY SCORE
55 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
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 ybayle/awesome-deep-learning-music, 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
  • highreadme#1
    Strengthen the README's emphasis on Music Information Retrieval (MIR).

    Why:

    CURRENT
    The role of this curated list is to gather scientific articles, thesis and reports that use deep learning approaches applied to music. ... However, these surveys do not cover music information retrieval tasks that are included in this repository.
    COPY-PASTE FIX
    The role of this curated list is to gather scientific articles, theses, and reports that use deep learning approaches applied to music, with a particular emphasis on Music Information Retrieval (MIR) tasks not typically covered by other surveys. This makes it a unique resource for researchers and practitioners focusing on MIR.
  • mediumhomepage#2
    Add the repository URL as the homepage.

    Why:

    COPY-PASTE FIX
    https://github.com/ybayle/awesome-deep-learning-music
  • lowtopics#3
    Remove the irrelevant "unicorns" topic.

    Why:

    CURRENT
    article, audio, audio-processing, awesome, awesome-list, bib, deep-learning, deep-neural-networks, deeplearning, list, lists, machine-learning, music, music-genre-classification, music-information-retrieval, neural-network, neural-networks, research, resources, unicorns
    COPY-PASTE FIX
    article, audio, audio-processing, awesome, awesome-list, bib, deep-learning, deep-neural-networks, deeplearning, list, lists, machine-learning, music, music-genre-classification, music-information-retrieval, neural-network, neural-networks, research, resources

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
1 / 2
50% of queries surface ybayle/awesome-deep-learning-music
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
ISMIR Proceedings
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ISMIR Proceedings · recommended 1×
  2. Kaggle · recommended 1×
  3. Google Scholar · recommended 1×
  4. arXiv.org · recommended 1×
  5. Papers With Code · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of deep learning research papers for music applications?
    you: #1
    AI recommended (in order):
    1. Awesome-Deep-Learning-Music ← you
    2. ISMIR Proceedings
    3. Kaggle
    4. Google Scholar
    5. arXiv.org
    6. Papers With Code
    7. Queen Mary University of London (C4DM)
    Show full AI answer
  • CATEGORY QUERY
    What are the best deep learning techniques for music information retrieval and genre classification?
    you: not recommended
    AI recommended (in order):
    1. ResNet
    2. VGG
    3. EfficientNet
    4. MobileNet
    5. CRNN
    6. Audio Spectrogram Transformer (AST)
    7. Perceiver IO
    8. BYOL
    9. SimCLR
    10. Wav2Vec 2.0
    11. HuBERT
    12. Jukebox (OpenAI)
    13. Kymatio (kymatio/kymatio)

    AI recommended 13 alternatives but never named ybayle/awesome-deep-learning-music. 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 ybayle/awesome-deep-learning-music?
    pass
    AI did not name ybayle/awesome-deep-learning-music — 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 ybayle/awesome-deep-learning-music in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ybayle/awesome-deep-learning-music 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 ybayle/awesome-deep-learning-music solve, and who is the primary audience?
    pass
    AI did not name ybayle/awesome-deep-learning-music — 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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