RRepoGEO

REPOGEO REPORT · LITE

howie6879/mlhub123

Default branch master · commit 2dccf5af · scanned 5/18/2026, 12:53:11 PM

GitHub: 1,143 stars · 242 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 howie6879/mlhub123, 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
    Reposition the README's H1 and opening sentence to clearly state it's a curated resource hub

    Why:

    CURRENT
    机器学习网站导航以及资源，欢迎**PR提供资源**：
    COPY-PASTE FIX
    mlhub123: 🚀 机器学习&深度学习精选资源导航与网站汇总 (Curated Machine Learning & Deep Learning Resources Hub). 欢迎**PR提供资源**！
  • mediumtopics#2
    Add specific topics that reflect the repo's nature as a resource collection

    Why:

    CURRENT
    deep-learning, machine-learning
    COPY-PASTE FIX
    deep-learning, machine-learning, awesome-list, resource-collection, ml-resources, dl-resources, curated-list, learning-path
  • lowreadme#3
    Add a sentence to the README's introduction clarifying the target audience and value proposition

    Why:

    COPY-PASTE FIX
    Whether you're a beginner, student, researcher, or practitioner, mlhub123 provides a structured and continuously updated directory to navigate the vast landscape of AI/ML/DL resources, learning paths, and practical projects.

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 howie6879/mlhub123
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 2×
  2. Kaggle Learn · recommended 2×
  3. Awesome Machine Learning · recommended 1×
  4. Awesome Deep Learning · recommended 1×
  5. Google AI Blog · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of machine learning and deep learning resources?
    you: not recommended
    AI recommended (in order):
    1. Awesome Machine Learning
    2. Awesome Deep Learning
    3. Google AI Blog
    4. Google Developers Machine Learning
    5. TensorFlow
    6. Google Cloud AI Platform
    7. Papers With Code
    8. Towards Data Science
    9. Medium
    10. Kaggle Learn
    11. Kaggle
    12. fast.ai
    13. Coursera
    14. edX
    15. Andrew Ng's Machine Learning Specialization
    16. DeepLearning.AI
    17. IBM AI Engineering Professional Certificate

    AI recommended 17 alternatives but never named howie6879/mlhub123. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best curated learning paths and tools for aspiring AI developers?
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI Specializations on Coursera
    2. Deep Learning Specialization
    3. TensorFlow
    4. Machine Learning Specialization
    5. TensorFlow: Data and Deployment Specialization
    6. fast.ai Practical Deep Learning for Coders
    7. PyTorch
    8. Google's Machine Learning Crash Course (MLCC)
    9. Kaggle Learn
    10. Keras
    11. Hugging Face 🤗 Transformers Course
    12. Hugging Face Transformers library
    13. Full Stack Deep Learning
    14. Udacity's AI Engineer Nanodegree

    AI recommended 14 alternatives but never named howie6879/mlhub123. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 howie6879/mlhub123?
    pass
    AI named howie6879/mlhub123 explicitly

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

  • If a team adopts howie6879/mlhub123 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named howie6879/mlhub123 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 howie6879/mlhub123 solve, and who is the primary audience?
    pass
    AI did not name howie6879/mlhub123 — 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite