RRepoGEO

REPOGEO REPORT · LITE

patrick-llgc/Learning-Deep-Learning

Default branch master · commit 2714433f · scanned 5/14/2026, 7:53:41 AM

GitHub: 1,261 stars · 180 forks

AI VISIBILITY SCORE
28 /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
2 / 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 patrick-llgc/Learning-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
  • highreadme#1
    Strengthen README's opening to highlight curated nature

    Why:

    CURRENT
    This repository contains my paper reading notes on deep learning and machine learning.
    COPY-PASTE FIX
    This repository offers a personal, structured, and actively maintained compilation of curated paper reading notes and literature reviews on deep learning and machine learning, with a focus on computer vision and autonomous driving.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clarify usage rights for your content.
  • mediumhomepage#3
    Add homepage URL to repository settings

    Why:

    COPY-PASTE FIX
    Add the URL for your 'minimalistic webpage generated with Github io' (e.g., `https://patrick-llgc.github.io/Learning-Deep-Learning/`) to the repository's homepage setting.

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 patrick-llgc/Learning-Deep-Learning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Deep Learning for Computer Vision: A Guided Tour
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Deep Learning for Computer Vision: A Guided Tour · recommended 1×
  2. The Deep Learning Reading List · recommended 1×
  3. Awesome Deep Learning Papers · recommended 1×
  4. Awesome-Deep-Learning-Papers · recommended 1×
  5. Deep Learning Papers Reading Roadmap · recommended 1×
  • CATEGORY QUERY
    Looking for curated reading lists of foundational deep learning papers for computer vision.
    you: not recommended
    AI recommended (in order):
    1. Deep Learning for Computer Vision: A Guided Tour
    2. The Deep Learning Reading List
    3. Awesome Deep Learning Papers
    4. Awesome-Deep-Learning-Papers
    5. Deep Learning Papers Reading Roadmap
    6. Computer Vision Reading List
    7. Papers with Code

    AI recommended 7 alternatives but never named patrick-llgc/Learning-Deep-Learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find literature reviews on 3D object detection for autonomous driving applications?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. IEEE Xplore Digital Library
    4. ACM Digital Library
    5. SpringerLink
    6. ScienceDirect
    7. ResearchGate
    8. Academia.edu

    AI recommended 8 alternatives but never named patrick-llgc/Learning-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 patrick-llgc/Learning-Deep-Learning?
    pass
    AI named patrick-llgc/Learning-Deep-Learning explicitly

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

  • If a team adopts patrick-llgc/Learning-Deep-Learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI named patrick-llgc/Learning-Deep-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 patrick-llgc/Learning-Deep-Learning solve, and who is the primary audience?
    pass
    AI did not name patrick-llgc/Learning-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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patrick-llgc/Learning-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