RRepoGEO

REPOGEO REPORT · LITE

dennybritz/deeplearning-papernotes

Default branch master · commit 71959457 · scanned 6/30/2026, 3:42:30 PM

GitHub: 4,424 stars · 897 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
17 /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
1 / 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 dennybritz/deeplearning-papernotes, 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 to the repository

    Why:

    COPY-PASTE FIX
    deep-learning, research-papers, paper-summaries, machine-learning, ai, notes, education
  • highreadme#2
    Add a clear introductory sentence to the README

    Why:

    CURRENT
    #### 2018-02
    COPY-PASTE FIX
    This repository provides concise summaries and detailed notes on key Deep Learning research papers, designed to help researchers and students quickly grasp core concepts and stay updated with the latest advancements.
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    (Add a LICENSE file to the repository with your chosen open-source license, e.g., MIT, Apache-2.0, or GPL-3.0.)

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 dennybritz/deeplearning-papernotes
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 2×
  2. Distill.pub · recommended 2×
  3. The Batch by DeepLearning.AI · recommended 1×
  4. AI Explained · recommended 1×
  5. karpathy/arxiv-sanity-preserver · recommended 1×
  • CATEGORY QUERY
    Where can I find concise summaries of recent deep learning research papers?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Distill.pub
    3. The Batch by DeepLearning.AI
    4. AI Explained
    5. arXiv Sanity Preserver (karpathy/arxiv-sanity-preserver)
    6. Twitter

    AI recommended 6 alternatives but never named dennybritz/deeplearning-papernotes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources provide simplified explanations and notes on deep learning concepts from academic papers?
    you: not recommended
    AI recommended (in order):
    1. Distill.pub
    2. Papers With Code
    3. Jay Alammar's blog posts
    4. Towards Data Science
    5. Analytics Vidhya
    6. StatQuest with Josh Starmer
    7. ritvikmath
    8. DeepLearning.AI Blog

    AI recommended 8 alternatives but never named dennybritz/deeplearning-papernotes. 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 dennybritz/deeplearning-papernotes?
    pass
    AI did not name dennybritz/deeplearning-papernotes — 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 dennybritz/deeplearning-papernotes in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dennybritz/deeplearning-papernotes 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 dennybritz/deeplearning-papernotes solve, and who is the primary audience?
    pass
    AI did not name dennybritz/deeplearning-papernotes — 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?

Embed your GEO score

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

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dennybritz/deeplearning-papernotes — 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