RRepoGEO

REPOGEO REPORT · LITE

jmtomczak/intro_dgm

Default branch main · commit 7348993c · scanned 5/14/2026, 2:42:25 AM

GitHub: 1,313 stars · 202 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 jmtomczak/intro_dgm, 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 README opening to clarify repo's role as book companion

    Why:

    CURRENT
    # <a href="https://link.springer.com/book/10.1007/978-3-031-64087-2" target="_blank">"Deep Generative Modeling"</a> This first comprehensive book on models behind Generative AI...
    COPY-PASTE FIX
    # Deep Generative Modeling: PyTorch Code Examples and Supplementary Materials

This repository provides the official PyTorch code examples and supplementary materials for the comprehensive book "[Deep Generative Modeling](https://link.springer.com/book/10.1007/978-3-031-64087-2)". The book covers all major classes of deep generative models...
  • mediumhomepage#2
    Add the book's URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://link.springer.com/book/10.1007/978-3-031-64087-2
  • lowabout#3
    Update repository description for clarity

    Why:

    CURRENT
    "Deep Generative Modeling": Introductory Examples
    COPY-PASTE FIX
    PyTorch code examples and supplementary materials for the book "Deep Generative Modeling".

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 jmtomczak/intro_dgm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pytorch/examples
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. pytorch/examples · recommended 1×
  2. eriklindernoren/PyTorch-GAN · recommended 1×
  3. fastai/fastai · recommended 1×
  4. PyTorch Tutorials · recommended 1×
  5. tdeboissiere/Keras-GAN · recommended 1×
  • CATEGORY QUERY
    Where can I find introductory examples for deep generative models using PyTorch?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Examples (pytorch/examples)
    2. PyTorch-GAN (eriklindernoren/PyTorch-GAN)
    3. fastai (fastai/fastai)
    4. PyTorch Tutorials
    5. Keras-GAN (tdeboissiere/Keras-GAN)
    6. Awesome-pytorch-list (bharathgs/Awesome-pytorch-list)

    AI recommended 6 alternatives but never named jmtomczak/intro_dgm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources explain various deep generative modeling techniques for researchers?
    you: not recommended
    AI recommended (in order):
    1. Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
    2. Deep Learning
    3. The GAN Zoo
    4. Variational Autoencoders and Denoising Autoencoders
    5. Diffusion Models Beat GANs on Image Synthesis
    6. Improved Denoising Diffusion Probabilistic Models
    7. Awesome Generative Deep Learning
    8. Probabilistic Machine Learning: Advanced Topics

    AI recommended 8 alternatives but never named jmtomczak/intro_dgm. 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 jmtomczak/intro_dgm?
    pass
    AI named jmtomczak/intro_dgm explicitly

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

  • If a team adopts jmtomczak/intro_dgm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jmtomczak/intro_dgm 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 jmtomczak/intro_dgm solve, and who is the primary audience?
    pass
    AI did not name jmtomczak/intro_dgm — 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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jmtomczak/intro_dgm — 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