RRepoGEO

REPOGEO REPORT · LITE

nndl/nndl-practice

Default branch main · commit 64f4afff · scanned 5/29/2026, 11:08:03 AM

GitHub: 3,354 stars · 1,509 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 nndl/nndl-practice, 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
    Clarify the primary technology and purpose in the README's opening

    Why:

    CURRENT
    邱锡鹏《神经网络与深度学习：案例与实践》代码仓库。
    COPY-PASTE FIX
    This repository provides PyTorch implementations for the second edition of Qiu Xipeng's 'Neural Networks and Deep Learning: Cases and Practice' (邱锡鹏《神经网络与深度学习：案例与实践》). It focuses on practical deep learning exercises and code examples using modern PyTorch.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the MIT License text, as it is a common and permissive choice for educational and open-source projects.
  • mediumtopics#3
    Refine repository topics for better PyTorch deep learning categorization

    Why:

    CURRENT
    chinese, deep-learning, jupyter-notebook, paddlepaddle, pytorch, tutorial
    COPY-PASTE FIX
    chinese, deep-learning, jupyter-notebook, pytorch, tutorial, deep-learning-exercises, machine-learning-practice, neural-networks

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 nndl/nndl-practice
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. huggingface/transformers · recommended 1×
  3. PyTorch Hub · recommended 1×
  4. rwightman/pytorch-image-models · recommended 1×
  5. GitHub · recommended 1×
  • CATEGORY QUERY
    Where can I find practical PyTorch implementations for various deep learning architectures?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Examples (pytorch/examples)
    2. Hugging Face Transformers (huggingface/transformers)
    3. PyTorch Hub
    4. PyTorch-Image-Models (timm) (rwightman/pytorch-image-models)
    5. GitHub
    6. Papers With Code
    7. DeepLearning.AI PyTorch Courses

    AI recommended 7 alternatives but never named nndl/nndl-practice. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for structured deep learning exercises and code examples using PyTorch.
    you: not recommended
    AI recommended (in order):
    1. PyTorch Tutorials
    2. Deep Learning with PyTorch: A 60 Minute Blitz
    3. fast.ai's "Practical Deep Learning for Coders" Course
    4. PyTorch Examples
    5. PyTorch Geometric (PyG)
    6. Hugging Face Transformers
    7. PyTorch Lightning

    AI recommended 7 alternatives but never named nndl/nndl-practice. 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 nndl/nndl-practice?
    pass
    AI did not name nndl/nndl-practice — 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 nndl/nndl-practice in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nndl/nndl-practice 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 nndl/nndl-practice solve, and who is the primary audience?
    pass
    AI named nndl/nndl-practice explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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