RRepoGEO

REPOGEO REPORT · LITE

nosuggest/deep_learning

Default branch master · commit 3ade2e7f · scanned 5/31/2026, 11:52:38 PM

GitHub: 509 stars · 255 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 nosuggest/deep_learning, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    deep-learning, tensorflow, nlp, image-recognition, recommendation-systems, machine-learning-examples, deep-learning-tutorials, python
  • highreadme#2
    Reposition the README's opening to clearly state the repo's focus

    Why:

    CURRENT
    # 介绍
非专业的nlp、图像工程师，tensorflow调包工程师，注重快速实现，那么，让我们一起做点有趣的事情吧！
这个工程的目的是将自己在工程和学术研究中，一些应用到深度学习的思路和方法整理汇总出来：
    COPY-PASTE FIX
    # Deep Learning Practical Implementations & Notes
This repository is a curated collection of practical deep learning implementations, experimental results, and detailed notes, primarily focusing on NLP, image recognition, and recommendation systems using TensorFlow. It aims to provide clear, ready-to-use examples and insights for both beginners and practitioners.
  • mediumabout#3
    Update the repository description for clarity and specificity

    Why:

    CURRENT
    基础的深度学习实验研究结果汇总笔记
    COPY-PASTE FIX
    Practical deep learning implementations and experimental notes for NLP, image recognition, and recommendation systems, primarily using TensorFlow.

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 nosuggest/deep_learning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow Tutorials
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Tutorials · recommended 1×
  2. Keras Examples · recommended 1×
  3. TensorFlow Hub · recommended 1×
  4. DeepLearning.AI TensorFlow Specialization · recommended 1×
  5. tensorflow/models · recommended 1×
  • CATEGORY QUERY
    Seeking practical deep learning examples for NLP and image recognition with TensorFlow.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Tutorials
    2. Keras Examples
    3. TensorFlow Hub
    4. DeepLearning.AI TensorFlow Specialization
    5. tensorflow/models (tensorflow/models)
    6. Awesome TensorFlow
    7. Medium
    8. Towards Data Science

    AI recommended 8 alternatives but never named nosuggest/deep_learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for deep learning models to build effective recommendation systems and click prediction.
    you: not recommended
    AI recommended (in order):
    1. DeepFM
    2. DCN
    3. xDeepFM
    4. DIN
    5. SASRec
    6. BERT4Rec
    7. Neural Collaborative Filtering (NCF)
    8. Wide & Deep Learning

    AI recommended 8 alternatives but never named nosuggest/deep_learning. 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 nosuggest/deep_learning?
    pass
    AI named nosuggest/deep_learning explicitly

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

  • If a team adopts nosuggest/deep_learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nosuggest/deep_learning 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 nosuggest/deep_learning solve, and who is the primary audience?
    pass
    AI did not name nosuggest/deep_learning — 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite