RRepoGEO

REPOGEO REPORT · LITE

fendouai/Awesome-TensorFlow-Chinese

Default branch master · commit 550ea78c · scanned 6/19/2026, 9:13:40 PM

GitHub: 1,378 stars · 328 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
20 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
0 / 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 fendouai/Awesome-TensorFlow-Chinese, 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
    Strengthen README opening to emphasize comprehensive, curated value

    Why:

    CURRENT
    TensorFlow 中文资源全集，学习路径推荐：
    COPY-PASTE FIX
    一个全面、精选的 TensorFlow 中文资源全集，提供学习路径推荐，助您高效掌握 TensorFlow。
  • mediumtopics#2
    Add specific learning-oriented topics

    Why:

    CURRENT
    awesome, deep-learning, google-tensorflow, machine-learning, tensorflow, tensorflow-chinese, tensorflow-tutorials
    COPY-PASTE FIX
    awesome, deep-learning, google-tensorflow, machine-learning, tensorflow, tensorflow-chinese, tensorflow-tutorials, learning-path, resource-guide
  • lowreadme#3
    Streamline description to focus on content and purpose

    Why:

    CURRENT
    Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861，公众号：磐创AI，微信群二维码：http://www.tensorflownews.com/
    COPY-PASTE FIX
    Awesome-TensorFlow-Chinese：精选TensorFlow中文资源，涵盖官方网站、安装教程、入门教程、视频教程、实战项目及学习路径，助您系统学习与实践。

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 fendouai/Awesome-TensorFlow-Chinese
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coursera
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera · recommended 2×
  2. d2l-ai/d2l-zh · recommended 1×
  3. pytorch/pytorch · recommended 1×
  4. tensorflow/tensorflow · recommended 1×
  5. apache/mxnet · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive deep learning learning resources and tutorials in Chinese?
    you: not recommended
    AI recommended (in order):
    1. 动手学深度学习 (Dive into Deep Learning - Chinese Version) (d2l-ai/d2l-zh)
    2. PyTorch (pytorch/pytorch)
    3. TensorFlow (tensorflow/tensorflow)
    4. MXNet (apache/mxnet)
    5. 吴恩达 (Andrew Ng) - 深度学习专项课程 (Deep Learning Specialization)
    6. Coursera
    7. Bilibili (哔哩哔哩)
    8. Datawhale (数据科学与人工智能社区)
    9. 知乎 (Zhihu)
    10. 机器之心 (Synced)
    11. 阿里云天池 (Alibaba Cloud Tianchi)

    AI recommended 11 alternatives but never named fendouai/Awesome-TensorFlow-Chinese. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for practical machine learning project examples and setup instructions for beginners, in Mandarin.
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. Octave/MATLAB
    3. Python
    4. Anaconda
    5. Jupyter Notebook
    6. NumPy
    7. Pandas
    8. Scikit-learn
    9. Matplotlib
    10. Google Developers
    11. TensorFlow
    12. Google Colaboratory (Colab)
    13. Kaggle
    14. Kaggle Kernels
    15. Seaborn
    16. 动手学深度学习 (d2l.ai)
    17. PyTorch
    18. Keras

    AI recommended 18 alternatives but never named fendouai/Awesome-TensorFlow-Chinese. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 fendouai/Awesome-TensorFlow-Chinese?
    pass
    AI did not name fendouai/Awesome-TensorFlow-Chinese — 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 fendouai/Awesome-TensorFlow-Chinese in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name fendouai/Awesome-TensorFlow-Chinese — 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?

  • In one sentence, what problem does the repo fendouai/Awesome-TensorFlow-Chinese solve, and who is the primary audience?
    pass
    AI did not name fendouai/Awesome-TensorFlow-Chinese — 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

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fendouai/Awesome-TensorFlow-Chinese — 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