RRepoGEO

REPOGEO REPORT · LITE

kzbkzb/Python-AI

Default branch main · commit 468d4f1e · scanned 6/20/2026, 6:17:28 AM

GitHub: 3,136 stars · 496 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 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, GPL-3.0) and add it to the repository root.
  • highreadme#2
    Strengthen README's opening sentence to clarify unique value

    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
    全网爆火的🔥🔥🔥 **《深度学习100例》** 现已开放，提供**100个深度学习实战项目**的**可运行代码和数据**，涵盖图片分类、目标检测、NLP等，旨在帮助学习者快速掌握深度学习核心技术。正在持续更新中~
  • mediumtopics#3
    Add more specific and descriptive topics

    Why:

    CURRENT
    cv, dl, ml, nlp, python, python3, pytorch, tensorflow2
    COPY-PASTE FIX
    cv, dl, ml, nlp, python, python3, pytorch, tensorflow2, deep-learning-examples, machine-learning-projects, computer-vision, natural-language-processing, image-classification, object-detection, deep-learning-tutorial, learning-resource, ai-education

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 Tutorials (Official)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Tutorials (Official) · recommended 1×
  2. PyTorch Examples (Official) · recommended 1×
  3. Kaggle Notebooks · recommended 1×
  4. DeepLearning.AI Coursera Courses · recommended 1×
  5. Papers With Code · recommended 1×
  • CATEGORY QUERY
    Where can I find practical deep learning code examples for image classification and object detection?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Tutorials (Official)
    2. PyTorch Examples (Official)
    3. Kaggle Notebooks
    4. DeepLearning.AI Coursera Courses
    5. Papers With Code
    6. Medium Articles

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking comprehensive deep learning projects with runnable code for NLP and computer vision using popular frameworks.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Models
    2. PyTorch Examples
    3. Hugging Face Transformers
    4. Keras Examples
    5. fast.ai Course Notebooks
    6. OpenMMLab

    AI recommended 6 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 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?

  • 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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kzbkzb/Python-AI — 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