RRepoGEO

REPOGEO REPORT · LITE

pageman/sutskever-30-implementations

Default branch main · commit 225cba7b · scanned 5/19/2026, 6:17:56 AM

GitHub: 3,261 stars · 445 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
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 pageman/sutskever-30-implementations, 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 specific topics for better categorization

    Why:

    COPY-PASTE FIX
    deep-learning, machine-learning, numpy, educational, paper-implementations, sutskever, foundational-ai, ai-education, jupyter-notebooks, deep-learning-from-scratch
  • highreadme#2
    Refine README's opening sentence for clearer positioning

    Why:

    CURRENT
    Comprehensive toy implementations of the 30 foundational papers recommended by Ilya Sutskever
    COPY-PASTE FIX
    This repository provides comprehensive, educational NumPy-only code implementations of the 30 foundational AI papers recommended by Ilya Sutskever.
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, or a license of choice) in the root of the repository 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 pageman/sutskever-30-implementations
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neural Networks and Deep Learning by Michael Nielsen
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Neural Networks and Deep Learning by Michael Nielsen · recommended 1×
  2. Deep Learning from Scratch: Building Neural Networks with Python from First Principles by Seth Weidman · recommended 1×
  3. Andrew Ng's Deep Learning Specialization (Coursera) · recommended 1×
  4. Python Machine Learning by Sebastian Raschka and Vahid Mirjalili · recommended 1×
  5. Fast.ai's Numerical Linear Algebra course · recommended 1×
  • CATEGORY QUERY
    How can I learn deep learning fundamentals using only NumPy for educational clarity?
    you: not recommended
    AI recommended (in order):
    1. Neural Networks and Deep Learning by Michael Nielsen
    2. Deep Learning from Scratch: Building Neural Networks with Python from First Principles by Seth Weidman
    3. Andrew Ng's Deep Learning Specialization (Coursera)
    4. Python Machine Learning by Sebastian Raschka and Vahid Mirjalili
    5. Fast.ai's Numerical Linear Algebra course

    AI recommended 5 alternatives but never named pageman/sutskever-30-implementations. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find implementations of foundational AI papers for educational purposes?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. GitHub
    3. Hugging Face Transformers (huggingface/transformers)
    4. Kaggle
    5. TensorFlow (tensorflow/tensorflow)
    6. PyTorch (pytorch/pytorch)
    7. Awesome Machine Learning / Deep Learning Lists
    8. Distill.pub

    AI recommended 8 alternatives but never named pageman/sutskever-30-implementations. 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 pageman/sutskever-30-implementations?
    pass
    AI named pageman/sutskever-30-implementations explicitly

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

  • If a team adopts pageman/sutskever-30-implementations in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pageman/sutskever-30-implementations 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 pageman/sutskever-30-implementations solve, and who is the primary audience?
    pass
    AI did not name pageman/sutskever-30-implementations — 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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pageman/sutskever-30-implementations — RepoGEO report