RRepoGEO

REPOGEO REPORT · LITE

315386775/DeepLearing-Interview-Awesome-2024

Default branch master · commit e4abe28e · scanned 5/27/2026, 6:37:56 PM

GitHub: 2,848 stars · 246 forks

AI VISIBILITY SCORE
15 /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
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 315386775/DeepLearing-Interview-Awesome-2024, 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 'interview-guide', 'awesome-list', and specific LLM/AIGC interview topics

    Why:

    CURRENT
    aigc, algorithms, awesome-cv, cnn, deep-learning, interview-questions, leetcode-python, machine-learning, medical-imaging, pytorch, self-driving-car
    COPY-PASTE FIX
    aigc, algorithms, awesome-cv, cnn, deep-learning, interview-questions, leetcode-python, machine-learning, medical-imaging, pytorch, self-driving-car, interview-guide, awesome-list, llm-interview, cv-interview, aigc-interview, deep-learning-interview
  • highlicense#2
    Add a LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0) to the repository root.
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project website, blog post, or a more detailed documentation page) to the repository's homepage field.

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 315386775/DeepLearing-Interview-Awesome-2024
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ReLU
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ReLU · recommended 1×
  2. batch normalization · recommended 1×
  3. L1 regularization · recommended 1×
  4. L2 regularization · recommended 1×
  5. dropout · recommended 1×
  • CATEGORY QUERY
    What are common deep learning interview questions for senior AI engineer roles?
    you: not recommended
    AI recommended (in order):
    1. ReLU
    2. batch normalization
    3. L1 regularization
    4. L2 regularization
    5. dropout
    6. early stopping
    7. data augmentation
    8. sigmoid
    9. tanh
    10. Leaky ReLU
    11. ELU
    12. GELU
    13. SGD
    14. Adam
    15. RMSprop
    16. grid search
    17. random search
    18. Bayesian optimization
    19. evolutionary algorithms
    20. SMOTE
    21. focal loss
    22. ONNX
    23. TensorFlow Lite
    24. PyTorch Mobile
    25. Docker
    26. Kubernetes
    27. conda
    28. pipenv
    29. LIME
    30. SHAP
    31. Grad-CAM
    32. arXiv
    33. NeurIPS
    34. ICML
    35. ICLR
    36. NumPy
    37. TensorFlow
    38. PyTorch

    AI recommended 38 alternatives but never named 315386775/DeepLearing-Interview-Awesome-2024. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Resources for understanding large language model fine-tuning techniques and their differences?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face
    2. transformers (huggingface/transformers)
    3. PEFT (huggingface/peft)
    4. Stanford CS324
    5. OpenAI

    AI recommended 5 alternatives but never named 315386775/DeepLearing-Interview-Awesome-2024. 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 315386775/DeepLearing-Interview-Awesome-2024?
    pass
    AI did not name 315386775/DeepLearing-Interview-Awesome-2024 — 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 315386775/DeepLearing-Interview-Awesome-2024 in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name 315386775/DeepLearing-Interview-Awesome-2024 — 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 315386775/DeepLearing-Interview-Awesome-2024 solve, and who is the primary audience?
    pass
    AI did not name 315386775/DeepLearing-Interview-Awesome-2024 — 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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315386775/DeepLearing-Interview-Awesome-2024 — 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