RRepoGEO

REPOGEO REPORT · LITE

NUS-HPC-AI-Lab/VideoSys

Default branch master · commit 4cce4778 · scanned 6/21/2026, 6:11:49 PM

GitHub: 2,026 stars · 130 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
22 /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
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 NUS-HPC-AI-Lab/VideoSys, 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
    video-generation, ai-video, deep-learning, hpc, machine-learning, diffusion-models, real-time-video
  • highreadme#2
    Emphasize unique real-time video generation capabilities in README intro

    Why:

    CURRENT
    <h3 align="center">
An easy and efficient system for video generation
</h3>
    COPY-PASTE FIX
    <h3 align="center">
An easy and efficient system for video generation
</h3>
<p align="center">This system uniquely enables <b>real-time, high-quality video generation</b> through innovations like Pyramid Attention Broadcast (PAB), without requiring additional training.</p>
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/VideoSys

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 NUS-HPC-AI-Lab/VideoSys
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RunwayML Gen-2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. RunwayML Gen-2 · recommended 1×
  2. Pika Labs · recommended 1×
  3. Stable Video Diffusion (SVD) · recommended 1×
  4. ComfyUI · recommended 1×
  5. HeyGen · recommended 1×
  • CATEGORY QUERY
    What are efficient and easy-to-use systems for AI-powered video generation?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-2
    2. Pika Labs
    3. Stable Video Diffusion (SVD)
    4. ComfyUI
    5. HeyGen
    6. Synthesys AI Studio
    7. Kaiber.ai

    AI recommended 7 alternatives but never named NUS-HPC-AI-Lab/VideoSys. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a system to accelerate training of variable-length video models.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Apex (NVIDIA/apex)
    2. PyTorch DistributedDataParallel (DDP) (pytorch/pytorch)
    3. DeepSpeed (microsoft/DeepSpeed)
    4. TensorFlow Distributed Strategy API (tensorflow/tensorflow)
    5. Horovod (horovod/horovod)
    6. NVIDIA DALI (NVIDIA/DALI)
    7. Optuna (optuna/optuna)
    8. Ray Tune (ray-project/ray)

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