RRepoGEO

REPOGEO REPORT · LITE

mbadry1/Top-Deep-Learning

Default branch master · commit 93c90955 · scanned 5/9/2026, 3:57:25 AM

GitHub: 1,767 stars · 438 forks

AI VISIBILITY SCORE
15 /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
0 / 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 mbadry1/Top-Deep-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
  • highhomepage#1
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/mbadry1/Top-Deep-Learning
  • mediumtopics#2
    Expand repository topics to include 'awesome-list' and 'curated-list'

    Why:

    CURRENT
    artificial-intelligence, artificial-neural-networks, convolutional-neural-networks, deep-learning, deep-neural-networks, deep-reinforcement-learning, machine-learning, recurrent-neural-networks, stargazers-count, top-repositories
    COPY-PASTE FIX
    artificial-intelligence, artificial-neural-networks, convolutional-neural-networks, deep-learning, deep-neural-networks, deep-reinforcement-learning, machine-learning, recurrent-neural-networks, stargazers-count, top-repositories, awesome-list, curated-list, deep-learning-resources
  • lowreadme#3
    Update the README's date to reflect current maintenance

    Why:

    CURRENT
    Date: 02-02-2020 compared to 09-01-2019
    COPY-PASTE FIX
    Date: [YYYY-MM-DD] (updated regularly)

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 mbadry1/Top-Deep-Learning
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Awesome Deep Learning
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Awesome Deep Learning · recommended 1×
  2. Papers With Code · recommended 1×
  3. Kaggle · recommended 1×
  4. Towards Data Science · recommended 1×
  5. GitHub Explore / Trending Repositories · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of the most popular deep learning projects?
    you: not recommended
    AI recommended (in order):
    1. Awesome Deep Learning
    2. Papers With Code
    3. Kaggle
    4. Towards Data Science
    5. GitHub Explore / Trending Repositories
    6. arXiv

    AI recommended 6 alternatives but never named mbadry1/Top-Deep-Learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the top-rated deep learning frameworks and libraries used by developers today?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. JAX
    5. Fast.ai
    6. MXNet

    AI recommended 6 alternatives but never named mbadry1/Top-Deep-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 mbadry1/Top-Deep-Learning?
    pass
    AI did not name mbadry1/Top-Deep-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 mbadry1/Top-Deep-Learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name mbadry1/Top-Deep-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?

  • In one sentence, what problem does the repo mbadry1/Top-Deep-Learning solve, and who is the primary audience?
    pass
    AI did not name mbadry1/Top-Deep-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?

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mbadry1/Top-Deep-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