RRepoGEO

REPOGEO REPORT · LITE

dvschultz/ml-art-colabs

Default branch master · commit 10047c17 · scanned 6/13/2026, 6:52:48 AM

GitHub: 823 stars · 131 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 dvschultz/ml-art-colabs, 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 for categorization

    Why:

    COPY-PASTE FIX
    google-colab, machine-learning-art, generative-art, ai-art, colab-notebooks, ml-examples, deep-learning, computer-vision
  • highreadme#2
    Refine README's opening to emphasize curated collection for experimentation

    Why:

    CURRENT
    # ML Visual Art Colabs
A list of cool Colabs on Machine Learning Imagemaking or other artistic purposes
    COPY-PASTE FIX
    # ML Visual Art Colabs: Curated Google Colab Notebooks for Generative AI Art
A curated and actively maintained collection of Google Colab notebooks, making a wide range of machine learning art techniques and visual effects easily accessible for experimentation and artistic creation.
  • mediumlicense#3
    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 clearly state the terms of use.

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 dvschultz/ml-art-colabs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMotion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMotion · recommended 2×
  2. StyleGAN · recommended 1×
  3. BigGAN · recommended 1×
  4. Pix2Pix · recommended 1×
  5. CycleGAN · recommended 1×
  • CATEGORY QUERY
    What machine learning techniques are best for creating generative art and visual effects?
    you: not recommended
    AI recommended (in order):
    1. StyleGAN
    2. BigGAN
    3. Pix2Pix
    4. CycleGAN
    5. TensorFlow
    6. PyTorch
    7. Stable Diffusion
    8. Midjourney
    9. DALL-E 2
    10. Prisma
    11. DeepArt.io
    12. OpenAI's Jukebox
    13. DeepMotion

    AI recommended 13 alternatives but never named dvschultz/ml-art-colabs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find easy-to-run examples for experimenting with machine learning art models?
    you: not recommended
    AI recommended (in order):
    1. RunwayML
    2. Google Colaboratory (Colab) Notebooks
    3. Hugging Face Spaces
    4. Artbreeder
    5. DeepMotion
    6. NightCafe Creator
    7. DreamStudio (Stability AI)

    AI recommended 7 alternatives but never named dvschultz/ml-art-colabs. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 dvschultz/ml-art-colabs?
    pass
    AI named dvschultz/ml-art-colabs explicitly

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

  • If a team adopts dvschultz/ml-art-colabs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dvschultz/ml-art-colabs 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 dvschultz/ml-art-colabs solve, and who is the primary audience?
    pass
    AI did not name dvschultz/ml-art-colabs — 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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dvschultz/ml-art-colabs — 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