RRepoGEO

REPOGEO REPORT · LITE

d0r1h/ML-University

Default branch master · commit df3ca341 · scanned 6/14/2026, 6:27:33 PM

GitHub: 938 stars · 122 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 d0r1h/ML-University, 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
    Clarify README's opening to emphasize it's a curated list of free resources

    Why:

    CURRENT
    A Free Machine Learning University Machine Learning Open Source University is an IDEA of free-learning of a ML enthusiast for all other ML enthusiast
    COPY-PASTE FIX
    A Free Machine Learning University: Your curated, structured collection of the best free open-source resources for mastering Machine Learning, Deep Learning, NLP, and Reinforcement Learning from scratch.
  • 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 clearly state the terms of use for the content.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to `https://github.com/d0r1h/ML-University#readme` or a dedicated project website if one exists.

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 d0r1h/ML-University
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google's Machine Learning Crash Course
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google's Machine Learning Crash Course · recommended 2×
  2. fast.ai Practical Deep Learning for Coders · recommended 1×
  3. Coursera's Machine Learning by Andrew Ng · recommended 1×
  4. huggingface/transformers · recommended 1×
  5. Kaggle Learn · recommended 1×
  • CATEGORY QUERY
    Where can I find a free, comprehensive collection of resources for machine learning education?
    you: not recommended
    AI recommended (in order):
    1. fast.ai Practical Deep Learning for Coders
    2. Coursera's Machine Learning by Andrew Ng
    3. Google's Machine Learning Crash Course
    4. Hugging Face's 🤗 Transformers Course (huggingface/transformers)
    5. Kaggle Learn
    6. MIT OpenCourseware - Introduction to Deep Learning (6.S191)
    7. freeCodeCamp Machine Learning Curriculum

    AI recommended 7 alternatives but never named d0r1h/ML-University. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking structured learning paths or curated lists for deep learning, NLP, and reinforcement learning.
    you: not recommended
    AI recommended (in order):
    1. fast.ai
    2. DeepLearning.AI
    3. Google's Machine Learning Crash Course
    4. Hugging Face
    5. spinningup.openai.com
    6. Stanford CS231n
    7. Stanford CS224n

    AI recommended 7 alternatives but never named d0r1h/ML-University. 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 d0r1h/ML-University?
    pass
    AI named d0r1h/ML-University explicitly

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

  • If a team adopts d0r1h/ML-University in production, what risks or prerequisites should they evaluate first?
    pass
    AI named d0r1h/ML-University 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 d0r1h/ML-University solve, and who is the primary audience?
    pass
    AI named d0r1h/ML-University explicitly

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

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d0r1h/ML-University — 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