RRepoGEO

REPOGEO REPORT · LITE

qiguming/MLAPP_CN_CODE

Default branch master · commit 202ecb39 · scanned 6/10/2026, 1:18:21 PM

GitHub: 648 stars · 142 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 qiguming/MLAPP_CN_CODE, 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 project type

    Why:

    CURRENT
    # MLAPP_CN_CODE
《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。
    COPY-PASTE FIX
    # MLAPP_CN_CODE

这是一个《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）的中文翻译项目，并提供了书中所有算法的Python实现代码。
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    machine-learning, probabilistic-machine-learning, deep-learning, python, book-companion, chinese-translation, diffusion-models, self-supervised-learning, kevin-murphy
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

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 qiguming/MLAPP_CN_CODE
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. Probabilistic Machine Learning: An Introduction · recommended 1×
  3. JD.com · recommended 1×
  4. Dangdang.com · recommended 1×
  5. China Machine Press · recommended 1×
  • CATEGORY QUERY
    Where can I find a Chinese translation and Python code for probabilistic machine learning algorithms?
    you: not recommended
    AI recommended (in order):
    1. Probabilistic Machine Learning: An Introduction
    2. JD.com
    3. Dangdang.com
    4. China Machine Press
    5. Posts & Telecom Press
    6. Pattern Recognition and Machine Learning
    7. Machine Learning
    8. Bayesian Methods for Hackers
    9. PyMC3
    10. PyMC
    11. ArviZ
    12. Pyro
    13. PyTorch
    14. CSDN
    15. Zhihu

    AI recommended 15 alternatives but never named qiguming/MLAPP_CN_CODE. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking Python examples and explanations for advanced machine learning concepts, including deep learning and diffusion models?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. Hugging Face Transformers
    3. Hugging Face Diffusers
    4. Keras
    5. fast.ai
    6. Papers With Code

    AI recommended 6 alternatives but never named qiguming/MLAPP_CN_CODE. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 qiguming/MLAPP_CN_CODE?
    pass
    AI named qiguming/MLAPP_CN_CODE explicitly

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

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

Embed your GEO score

Drop this badge into the README of qiguming/MLAPP_CN_CODE. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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qiguming/MLAPP_CN_CODE — 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