RRepoGEO

REPOGEO REPORT · LITE

jason718/awesome-self-supervised-learning

Default branch master · commit 8ce285c4 · scanned 5/27/2026, 9:17:36 PM

GitHub: 6,392 stars · 835 forks

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 jason718/awesome-self-supervised-learning, 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
  • highabout#1
    Improve the 'About' description for better categorization

    Why:

    CURRENT
    A curated list of awesome self-supervised methods
    COPY-PASTE FIX
    A comprehensive, highly organized list of self-supervised learning resources, including papers, code, and surveys across CV, NLP, RL, and more.
  • highlicense#2
    Add an MIT License file to the repository

    Why:

    COPY-PASTE FIX
    MIT License
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/jason718/awesome-self-supervised-learning

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 jason718/awesome-self-supervised-learning
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 · recommended 1×
  3. The Batch · recommended 1×
  4. jasonppy/awesome-self-supervised-learning · recommended 1×
  5. Distill.pub · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources and papers on self-supervised learning methods?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. arXiv
    3. The Batch
    4. Awesome Self-Supervised Learning (jasonppy/awesome-self-supervised-learning)
    5. Distill.pub
    6. Google AI Blog
    7. Meta AI Blog
    8. OpenAI Blog
    9. NeurIPS
    10. ICML
    11. ICLR
    12. CVPR
    13. ICCV
    14. ACL
    15. EMNLP

    AI recommended 15 alternatives but never named jason718/awesome-self-supervised-learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to reduce reliance on labeled data using self-supervision for computer vision?
    you: not recommended
    AI recommended (in order):
    1. DINO
    2. MAE
    3. SimCLR
    4. BYOL
    5. SwAV
    6. MoCo
    7. VICReg

    AI recommended 7 alternatives but never named jason718/awesome-self-supervised-learning. 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 jason718/awesome-self-supervised-learning?
    pass
    AI did not name jason718/awesome-self-supervised-learning — 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 jason718/awesome-self-supervised-learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jason718/awesome-self-supervised-learning 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 jason718/awesome-self-supervised-learning solve, and who is the primary audience?
    pass
    AI did not name jason718/awesome-self-supervised-learning — 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?

Embed your GEO score

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jason718/awesome-self-supervised-learning — 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