RRepoGEO

REPOGEO REPORT · LITE

windmaple/awesome-AutoML

Default branch master · commit f83974cb · scanned 6/7/2026, 7:42:58 AM

GitHub: 936 stars · 155 forks

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 windmaple/awesome-AutoML, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    awesome-list, automl, machine-learning, research, papers, tools, projects, resources
  • mediumhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/windmaple/awesome-AutoML
  • lowreadme#3
    Slightly rephrase the README's opening to emphasize 'awesome list'

    Why:

    CURRENT
    # Awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
    COPY-PASTE FIX
    # Awesome-AutoML: A Curated List of AutoML Resources
This repository curates a comprehensive list of AutoML-related research, tools, projects, and other resources.

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 windmaple/awesome-AutoML
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGluon
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGluon · recommended 1×
  2. TPOT · recommended 1×
  3. H2O.ai AutoML · recommended 1×
  4. Auto-Sklearn · recommended 1×
  5. FLAML · recommended 1×
  • CATEGORY QUERY
    What frameworks and libraries exist for automating machine learning model development?
    you: not recommended
    AI recommended (in order):
    1. AutoGluon
    2. TPOT
    3. H2O.ai AutoML
    4. Auto-Sklearn
    5. FLAML
    6. Google Cloud AutoML
    7. Azure Machine Learning Automated ML

    AI recommended 7 alternatives but never named windmaple/awesome-AutoML. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find research papers and projects on automated machine learning techniques?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. NeurIPS
    4. ICML
    5. ICLR
    6. KDD
    7. AAAI
    8. IJCAI
    9. Journal of Machine Learning Research
    10. IEEE Transactions on Pattern Analysis and Machine Intelligence
    11. Machine Learning (Springer journal)
    12. GitHub
    13. Papers With Code

    AI recommended 13 alternatives but never named windmaple/awesome-AutoML. 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 windmaple/awesome-AutoML?
    pass
    AI named windmaple/awesome-AutoML explicitly

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

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

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

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windmaple/awesome-AutoML — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
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