RRepoGEO

REPOGEO REPORT · LITE

yangqy1110/Diffusion-Models

Default branch main · commit 3038fab5 · scanned 5/31/2026, 5:18:01 PM

GitHub: 985 stars · 77 forks

AI VISIBILITY SCORE
23 /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
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 yangqy1110/Diffusion-Models, 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 improve discoverability

    Why:

    COPY-PASTE FIX
    diffusion-models, pytorch, deep-learning, generative-ai, machine-learning, education, beginner-friendly, theory, implementation
  • highlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the terms of use.
  • mediumreadme#3
    Clarify the README's opening statement to emphasize its educational purpose

    Why:

    CURRENT
    # Diffusion-Models
扩散模型原理和pytorch代码实现初学资料汇总
    COPY-PASTE FIX
    # Diffusion-Models: 扩散模型原理和PyTorch代码实现初学资料汇总 (Beginner-Friendly Resources for Diffusion Model Theory and PyTorch Implementation)

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 yangqy1110/Diffusion-Models
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Diffusers Library
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Diffusers Library · recommended 1×
  2. PyTorch Diffusion · recommended 1×
  3. Diffusion Models Demystified · recommended 1×
  4. DDPMs from Scratch · recommended 1×
  5. MinDiffusion · recommended 1×
  • CATEGORY QUERY
    How to implement diffusion models from scratch using PyTorch for beginners?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Diffusers Library
    2. PyTorch Diffusion
    3. Diffusion Models Demystified
    4. DDPMs from Scratch
    5. MinDiffusion

    AI recommended 5 alternatives but never named yangqy1110/Diffusion-Models. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find beginner-friendly resources to learn diffusion model theory and practical examples?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Diffusers Library (huggingface/diffusers)
    2. PyTorch (pytorch/pytorch)
    3. Kaggle

    AI recommended 3 alternatives but never named yangqy1110/Diffusion-Models. 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 yangqy1110/Diffusion-Models?
    pass
    AI named yangqy1110/Diffusion-Models explicitly

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

  • If a team adopts yangqy1110/Diffusion-Models in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yangqy1110/Diffusion-Models 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 yangqy1110/Diffusion-Models solve, and who is the primary audience?
    pass
    AI did not name yangqy1110/Diffusion-Models — 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

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yangqy1110/Diffusion-Models — 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