RRepoGEO

REPOGEO REPORT · LITE

XueZeyue/DanceGRPO

Default branch main · commit 15cc71d5 · scanned 6/24/2026, 9:43:51 AM

GitHub: 1,615 stars · 83 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 XueZeyue/DanceGRPO, 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's opening to clarify framework purpose

    Why:

    CURRENT
    This is the official implementation for paper, DanceGRPO: Unleashing GRPO on Visual Generation.
    COPY-PASTE FIX
    This is the official implementation for the paper DanceGRPO: Unleashing GRPO on Visual Generation. DanceGRPO is a scalable and efficient framework designed for the training and implementation of advanced image and video generation models, including Stable Diffusion, FLUX, and HunyuanVideo.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    visual-generation, image-generation, video-generation, stable-diffusion, flux, hunyuanvideo, deep-learning, generative-ai, pytorch, research-framework
  • mediumabout#3
    Refine the About description for clarity

    Why:

    CURRENT
    An official implementation of DanceGRPO: Unleashing GRPO on Visual Generation
    COPY-PASTE FIX
    A scalable and efficient framework for training and implementing advanced image and video generation models (e.g., Stable Diffusion, FLUX), based on the DanceGRPO paper.

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 XueZeyue/DanceGRPO
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch Lightning
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch Lightning · recommended 2×
  2. Weights & Biases · recommended 2×
  3. JAX · recommended 2×
  4. Flax · recommended 2×
  5. DeepSpeed · recommended 2×
  • CATEGORY QUERY
    What are scalable frameworks for training multiple advanced image and video generation models?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Lightning
    2. Weights & Biases
    3. MLflow
    4. JAX
    5. Flax
    6. Haiku
    7. DeepSpeed
    8. TensorFlow
    9. Keras
    10. Ray Train
    11. Ray

    AI recommended 11 alternatives but never named XueZeyue/DanceGRPO. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I efficiently implement and optimize diverse visual generation models for research?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Lightning
    2. Hugging Face Accelerate
    3. DeepSpeed
    4. JAX
    5. Flax
    6. TensorFlow
    7. Keras 3
    8. Weights & Biases

    AI recommended 8 alternatives but never named XueZeyue/DanceGRPO. 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 XueZeyue/DanceGRPO?
    pass
    AI named XueZeyue/DanceGRPO explicitly

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

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