RRepoGEO

REPOGEO REPORT · LITE

skygazer42/DL-Hub

Default branch main · commit f1d867cc · scanned 6/25/2026, 1:28:21 PM

GitHub: 1,104 stars · 60 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
35 /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
3 / 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 skygazer42/DL-Hub, 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
    Add an explicit English tagline to the README H1

    Why:

    CURRENT
    **从零手写，循序渐进 — PyTorch 深度学习统一学习项目**
    COPY-PASTE FIX
    **从零手写，循序渐进 — PyTorch 深度学习统一学习项目**
A Comprehensive, Hands-On PyTorch Deep Learning Curriculum and Project Hub
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a common open-source license (e.g., MIT, Apache-2.0).
  • mediumtopics#3
    Expand repository topics to include educational and PyTorch-specific terms

    Why:

    CURRENT
    cv, deeplearning, llms, nlp, notes, project, spider, sql
    COPY-PASTE FIX
    cv, deeplearning, llms, nlp, notes, project, spider, sql, pytorch, learning-path, curriculum, tutorials

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 skygazer42/DL-Hub
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch Official Tutorials & Examples
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch Official Tutorials & Examples · recommended 1×
  2. fast.ai's 'Practical Deep Learning for Coders' · recommended 1×
  3. fastai library · recommended 1×
  4. DeepLearning.AI PyTorch Specialization on Coursera · recommended 1×
  5. 'Deep Learning with PyTorch' by Eli Stevens, Luca Antiga, and Thomas Viehmann (Manning Publications) · recommended 1×
  • CATEGORY QUERY
    Where can I find a structured PyTorch learning path with practical deep learning projects?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Official Tutorials & Examples
    2. fast.ai's 'Practical Deep Learning for Coders'
    3. fastai library
    4. DeepLearning.AI PyTorch Specialization on Coursera
    5. 'Deep Learning with PyTorch' by Eli Stevens, Luca Antiga, and Thomas Viehmann (Manning Publications)
    6. Udacity's 'Deep Learning Nanodegree'

    AI recommended 6 alternatives but never named skygazer42/DL-Hub. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a comprehensive resource covering deep learning, NLP, CV, and LLM implementations.
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI Courses
    2. Coursera
    3. Andrew Ng's Deep Learning Specialization

    AI recommended 3 alternatives but never named skygazer42/DL-Hub. 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 skygazer42/DL-Hub?
    pass
    AI named skygazer42/DL-Hub explicitly

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

  • If a team adopts skygazer42/DL-Hub in production, what risks or prerequisites should they evaluate first?
    pass
    AI named skygazer42/DL-Hub 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 skygazer42/DL-Hub solve, and who is the primary audience?
    pass
    AI named skygazer42/DL-Hub explicitly

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

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skygazer42/DL-Hub — 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