RRepoGEO

REPOGEO REPORT · LITE

falloutdurham/beginners-pytorch-deep-learning

Default branch master · commit b5b4e828 · scanned 6/13/2026, 11:22:39 AM

GitHub: 527 stars · 283 forks

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 falloutdurham/beginners-pytorch-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 relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    pytorch, deep-learning, machine-learning, book-companion, learning-resource, neural-networks, computer-vision, nlp, pytorch-examples, beginners
  • highabout#2
    Refine the About section description for clarity

    Why:

    CURRENT
    Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
    COPY-PASTE FIX
    Companion repository for the book "Programming PyTorch for Deep Learning," providing beginner-friendly scripts and notebooks for learning deep learning applications with PyTorch.
  • mediumhomepage#3
    Add the book's official homepage link

    Why:

    COPY-PASTE FIX
    https://dpunkt.de/produkt/pytorch-fuer-deep-learning/

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 falloutdurham/beginners-pytorch-deep-learning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 1×
  2. TensorFlow · recommended 1×
  3. Keras · recommended 1×
  4. Kaggle · recommended 1×
  5. GitHub · recommended 1×
  • CATEGORY QUERY
    Where can I find practical examples for building machine learning models for vision tasks?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. Kaggle
    5. GitHub
    6. OpenCV
    7. Medium
    8. Towards Data Science

    AI recommended 8 alternatives but never named falloutdurham/beginners-pytorch-deep-learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking guidance on optimizing and deploying machine learning models for production.
    you: not recommended
    AI recommended (in order):
    1. Kubeflow
    2. KServe
    3. MLflow
    4. TensorFlow Serving
    5. TorchServe
    6. Databricks Lakehouse Platform
    7. Amazon SageMaker
    8. Google Cloud Vertex AI
    9. Azure Machine Learning
    10. ONNX (Open Neural Network Exchange)
    11. ONNX Runtime
    12. NVIDIA TensorRT
    13. Scikit-learn

    AI recommended 13 alternatives but never named falloutdurham/beginners-pytorch-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 falloutdurham/beginners-pytorch-deep-learning?
    pass
    AI did not name falloutdurham/beginners-pytorch-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?

  • If a team adopts falloutdurham/beginners-pytorch-deep-learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI named falloutdurham/beginners-pytorch-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 falloutdurham/beginners-pytorch-deep-learning solve, and who is the primary audience?
    pass
    AI did not name falloutdurham/beginners-pytorch-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

Drop this badge into the README of falloutdurham/beginners-pytorch-deep-learning. 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite