RRepoGEO

REPOGEO REPORT · LITE

dmarx/anthology-of-modern-ml

Default branch main · commit 34f43666 · scanned 6/1/2026, 12:03:09 PM

GitHub: 870 stars · 52 forks

AI VISIBILITY SCORE
28 /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
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 dmarx/anthology-of-modern-ml, 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
    Insert a clear, concise positioning statement after the main title

    Why:

    COPY-PASTE FIX
    A curated collection of foundational academic papers for understanding modern machine learning concepts and history. This repository provides direct access to significant articles and their historical context, and does not contain code implementations or models.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    machine-learning, deep-learning, artificial-intelligence, academic-papers, research-papers, ml-history, textbook, curated-list
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://dmarx.github.io/papers-feed/

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 dmarx/anthology-of-modern-ml
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Awesome Machine Learning Papers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Awesome Machine Learning Papers · recommended 1×
  2. Papers With Code · recommended 1×
  3. Distill.pub · recommended 1×
  4. Google AI Blog · recommended 1×
  5. DeepMind Blog · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated collection of foundational machine learning papers to study?
    you: not recommended
    AI recommended (in order):
    1. Awesome Machine Learning Papers
    2. Papers With Code
    3. Distill.pub
    4. Google AI Blog
    5. DeepMind Blog
    6. arXiv
    7. The Hundred-Page Machine Learning Book

    AI recommended 7 alternatives but never named dmarx/anthology-of-modern-ml. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the essential academic papers for understanding modern machine learning concepts and history?
    you: not recommended
    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 dmarx/anthology-of-modern-ml?
    pass
    AI did not name dmarx/anthology-of-modern-ml — 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?

  • If a team adopts dmarx/anthology-of-modern-ml in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dmarx/anthology-of-modern-ml 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 dmarx/anthology-of-modern-ml solve, and who is the primary audience?
    pass
    AI named dmarx/anthology-of-modern-ml explicitly

    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
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