RRepoGEO

REPOGEO REPORT · LITE

kzbkzb/Python-AI

Default branch main · commit 468d4f1e · scanned 5/10/2026, 7:48:06 AM

GitHub: 3,090 stars · 491 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 kzbkzb/Python-AI, 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 the README's opening to clearly state its purpose as a learning resource

    Why:

    CURRENT
    全网爆火的🔥🔥🔥 **《深度学习100例》** 现在对外开放了，提供可运行的**代码**和**数据**。正在更新中~
    COPY-PASTE FIX
    这是一个提供可运行代码和数据的**深度学习实践教程与资源集合**，包含**《深度学习100例》**、经典书籍资料和面试笔记。旨在帮助学习者通过实际项目掌握深度学习、计算机视觉和自然语言处理技术。
  • highlicense#2
    Add a standard open-source license file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory with a standard open-source license (e.g., MIT License).
  • mediumtopics#3
    Add more specific topics to reflect its nature as a collection of examples and tutorials

    Why:

    CURRENT
    cv, dl, ml, nlp, python, python3, pytorch, tensorflow2
    COPY-PASTE FIX
    cv, dl, ml, nlp, python, python3, pytorch, tensorflow2, deep-learning-examples, computer-vision-tutorials, nlp-projects, machine-learning-course, ai-education, practical-ai

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 kzbkzb/Python-AI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 2×
  2. PyTorch · recommended 2×
  3. Keras · recommended 2×
  4. fast.ai · recommended 1×
  5. Papers With Code · recommended 1×
  • CATEGORY QUERY
    Where can I find practical deep learning examples with code and data for computer vision?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. PyTorch
    3. Keras
    4. fast.ai
    5. Papers With Code
    6. Kaggle

    AI recommended 6 alternatives but never named kzbkzb/Python-AI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking Python deep learning projects covering image classification, object detection, and NLP with PyTorch/TensorFlow.
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. ResNet18
    4. VGG16
    5. torchvision
    6. Keras
    7. MobileNetV2
    8. ResNet50
    9. Faster R-CNN
    10. YOLOv5 (ultralytics/yolov5)
    11. TensorFlow Object Detection API
    12. SSD MobileNet V2 FPNLite
    13. EfficientDet
    14. LSTM
    15. GRU
    16. Transformer
    17. Hugging Face Transformers
    18. BERT
    19. DistilBERT
    20. Sequence-to-Sequence
    21. torchtext
    22. DCGAN
    23. U-Net

    AI recommended 23 alternatives but never named kzbkzb/Python-AI. 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 kzbkzb/Python-AI?
    pass
    AI named kzbkzb/Python-AI explicitly

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

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