RRepoGEO

REPOGEO REPORT · LITE

TingsongYu/PyTorch_Tutorial

Default branch master · commit 38fae4a4 · scanned 7/1/2026, 8:58:16 AM

GitHub: 8,020 stars · 1,746 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
17 /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
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 TingsongYu/PyTorch_Tutorial, 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

1 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    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 your chosen 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 TingsongYu/PyTorch_Tutorial
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pytorch/examples
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. pytorch/examples · recommended 1×
  2. fastai library · recommended 1×
  3. PyTorch Lightning · recommended 1×
  4. PyTorch Geometric (PyG) · recommended 1×
  5. Hugging Face Transformers library · recommended 1×
  • CATEGORY QUERY
    How can I learn practical PyTorch model training for deep learning projects?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Examples (pytorch/examples)
    2. fastai library
    3. PyTorch Lightning
    4. PyTorch Geometric (PyG)
    5. Hugging Face Transformers library

    AI recommended 5 alternatives but never named TingsongYu/PyTorch_Tutorial. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources help with deploying PyTorch models using ONNX or TensorRT?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA TensorRT
    2. PyTorch ONNX Export
    3. ONNX Runtime
    4. NVIDIA ONNX Runtime with TensorRT Execution Provider
    5. NVIDIA Deep Learning Examples
    6. PyTorch-TensorRT

    AI recommended 6 alternatives but never named TingsongYu/PyTorch_Tutorial. 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 TingsongYu/PyTorch_Tutorial?
    pass
    AI did not name TingsongYu/PyTorch_Tutorial — 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 TingsongYu/PyTorch_Tutorial in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TingsongYu/PyTorch_Tutorial 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 TingsongYu/PyTorch_Tutorial solve, and who is the primary audience?
    pass
    AI did not name TingsongYu/PyTorch_Tutorial — 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?

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TingsongYu/PyTorch_Tutorial — 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