RRepoGEO

REPOGEO REPORT · LITE

yassouali/ML-paper-notes

Default branch master · commit 7cbde34f · scanned 6/8/2026, 6:47:53 PM

GitHub: 564 stars · 78 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 yassouali/ML-paper-notes, 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
    Reposition the README's opening to highlight curated notes

    Why:

    CURRENT
    # ML Papers
This repo contains notes and short summaries of some ML related papers I come across, organized by subjects and the summaries are in the form of PDFs.
    COPY-PASTE FIX
    # Curated ML Paper Notes & Summaries
This repository offers a personally curated collection of in-depth notes and concise summaries for key Machine Learning, Computer Vision, and NLP research papers, designed to aid understanding and retention.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT, Apache-2.0, GPL-3.0) to the repository root.
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    computer-vision, deep-learning, machine-learning, natural-language-processing, nlp, summary
    COPY-PASTE FIX
    computer-vision, deep-learning, machine-learning, natural-language-processing, nlp, machine-learning-notes, paper-summaries, research-notes, curated-content, self-supervised-learning

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 yassouali/ML-paper-notes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 1×
  2. Distill.pub · recommended 1×
  3. The Batch (DeepLearning.AI newsletter) · recommended 1×
  4. AI Explained (YouTube Channel) · recommended 1×
  5. ArXiv Sanity Preserver · recommended 1×
  • CATEGORY QUERY
    Where can I find concise summaries and notes for recent machine learning research papers?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Distill.pub
    3. The Batch (DeepLearning.AI newsletter)
    4. AI Explained (YouTube Channel)
    5. ArXiv Sanity Preserver
    6. ML Subreddits (r/MachineLearning, r/DeepLearning)
    7. Twitter

    AI recommended 7 alternatives but never named yassouali/ML-paper-notes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for understanding key concepts in self-supervised and contrastive learning?
    you: not recommended
    AI recommended (in order):
    1. SimCLR paper
    2. BYOL paper
    3. Yann LeCun's Lecture Series/Talks
    4. Representation Learning paper
    5. Lilian Weng's OpenAI Blog Post
    6. Awesome Self-Supervised Learning GitHub Repository

    AI recommended 6 alternatives but never named yassouali/ML-paper-notes. 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 yassouali/ML-paper-notes?
    pass
    AI did not name yassouali/ML-paper-notes — 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 yassouali/ML-paper-notes in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yassouali/ML-paper-notes 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 yassouali/ML-paper-notes solve, and who is the primary audience?
    pass
    AI named yassouali/ML-paper-notes explicitly

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

Embed your GEO score

Drop this badge into the README of yassouali/ML-paper-notes. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/yassouali/ML-paper-notes.svg)](https://repogeo.com/en/r/yassouali/ML-paper-notes)
HTML
<a href="https://repogeo.com/en/r/yassouali/ML-paper-notes"><img src="https://repogeo.com/badge/yassouali/ML-paper-notes.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

yassouali/ML-paper-notes — 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