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dvgodoy/PyTorchStepByStep

默认分支 master · commit d837dec7 · 扫描时间 2026/5/15 01:28:36

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AI 可见性总分
27 /100
亟需修复
品类召回
0 / 2
在所有问题中均未被推荐
规则结果
通过 2 · 警告 0 · 失败 0
客观元数据检查
AI 认识你的名字
1 / 3
直接询问时,AI 是否点名你的仓库
如何阅读这份报告

行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 dvgodoy/PyTorchStepByStep 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。

行动计划 — 可复制粘贴的修复

3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。

整体方向
  • highreadme#1
    Reposition README's primary purpose statement

    原因:

    当前
    # Deep Learning with PyTorch Step-by-Step
    
    ## New book: "A Hands-On Guide to Fine-Tuning LLMs"
    
    <p align="center">
      
      <br>
      <strong><a href="https://www.amazon.com/dp/B0DV3Y1GMP">Kindle</a> | <a href="https://www.amazon.com/dp/B0DV4H7YW2">Paperback</a> | <a href="https://leanpub.com/finetuning">PDF [Leanpub]<a> | <a href="https://danielgodoy.gumroad.com/l/finetuning">PDF [Gumroad]<a></strong>
    </p>
    
    ## Revised for PyTorch 2.x!
    The revised version addresses changes in PyTorch, Torchvision, HuggingFace, and other libraries. The chapters most affected were Chapter 4 (in Volume II) and Chapter 11 (in Volume III).
    
    Please check the PDFs below containing the changes (check the paragraphs highlighted in red):
    - Changes to Volume I
    - Changes to Volume II
    - Changes to Volume III
    
    [](https://pytorchstepbystep.com)
    
    This is the official repository of my book "**Deep Learning with PyTorch Step-by-Step**". Here you will find **one Jupyter notebook** for every **chapter** in the book.
    复制粘贴的修复
    # Deep Learning with PyTorch Step-by-Step
    
    This is the official repository for the book "**Deep Learning with PyTorch Step-by-Step: A Beginner's Guide**". It provides **one Jupyter notebook** for every **chapter** in the book, containing **all the code shown** to help you **reproduce the results** and learn PyTorch effectively.
    
    ## Revised for PyTorch 2.x!
    The revised version addresses changes in PyTorch, Torchvision, HuggingFace, and other libraries. The chapters most affected were Chapter 4 (in Volume II) and Chapter 11 (in Volume III).
    
    Please check the PDFs below containing the changes (check the paragraphs highlighted in red):
    - Changes to Volume I
    - Changes to Volume II
    - Changes to Volume III
    
    ## New book: "A Hands-On Guide to Fine-Tuning LLMs"
    <p align="center">
      <br>
      <strong><a href="https://www.amazon.com/dp/B0DV3Y1GMP">Kindle</a> | <a href="https://www.amazon.com/dp/B0DV4H7YW2">Paperback</a> | <a href="https://leanpub.com/finetuning">PDF [Leanpub]<a> | <a href="https://danielgodoy.gumroad.com/l/finetuning">PDF [Gumroad]<a></strong>
    </p>
  • mediumtopics#2
    Add more specific educational and book-related topics

    原因:

    当前
    cnn-pytorch, deep-learning, python, pytorch, pytorch-tutorial, rnn-pytorch
    复制粘贴的修复
    cnn-pytorch, deep-learning, python, pytorch, pytorch-tutorial, rnn-pytorch, deep-learning-book, pytorch-book, jupyter-notebooks, educational-resource, beginner-friendly
  • lowreadme#3
    Add a dedicated section clarifying the target audience and pedagogical approach

    原因:

    复制粘贴的修复
    ## Who is this repository for?
    This repository is ideal for beginners in deep learning and PyTorch who want a structured, hands-on learning experience. Each chapter's notebook is designed to be followed step-by-step, allowing you to build foundational knowledge and confidence by running and understanding every line of code.

本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash

品类可见性 — 真正的 GEO 测试

向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?

各模型使用同一组问题 — 切换标签对比回答与排名。

召回
0 / 2
0% 的问题里出现了 dvgodoy/PyTorchStepByStep
平均排名
越小越好。#1 表示首位推荐。
声量占比
0%
在所有被点名的工具中,你占了多少?
头号对手
pytorch/examples
在 2 个问题中被推荐 2 次
竞品排行
  1. pytorch/examples · 被推荐 2 次
  2. PyTorch Documentation · 被推荐 1 次
  3. Deep Learning with PyTorch · 被推荐 1 次
  4. fast.ai Practical Deep Learning for Coders Course · 被推荐 1 次
  5. PyTorch Geometric · 被推荐 1 次
  • 品类问题
    How can I learn deep learning concepts with practical PyTorch code examples?
    你:未被推荐
    AI 推荐顺序:
    1. PyTorch Documentation
    2. Deep Learning with PyTorch
    3. fast.ai Practical Deep Learning for Coders Course
    4. PyTorch Examples (pytorch/examples)
    5. PyTorch Geometric
    6. PyTorch Lightning
    7. Hugging Face Transformers

    AI 推荐了 7 个替代方案,却始终没点名 dvgodoy/PyTorchStepByStep。这就是要补上的差距。

    查看 AI 完整回答
  • 品类问题
    Where can I find guided tutorials for implementing CNNs and RNNs using PyTorch?
    你:未被推荐
    AI 推荐顺序:
    1. PyTorch Official Tutorials
    2. Fast.ai
    3. DeepLearning.AI
    4. PyTorch Examples GitHub Repository (pytorch/examples)
    5. Analytics Vidhya
    6. Towards Data Science
    7. Yannic Kilcher

    AI 推荐了 7 个替代方案,却始终没点名 dvgodoy/PyTorchStepByStep。这就是要补上的差距。

    查看 AI 完整回答

客观检查

针对 AI 引擎最看重的元数据信号的规则审计。

  • Metadata completeness
    pass

  • README presence
    pass

自指检查

当被直接问到你时,AI 是否还知道你的仓库存在?

  • Compared to common alternatives in this category, what is the core differentiator of dvgodoy/PyTorchStepByStep?
    pass
    AI 未点名 dvgodoy/PyTorchStepByStep —— 很可能在说另一个项目

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • If a team adopts dvgodoy/PyTorchStepByStep in production, what risks or prerequisites should they evaluate first?
    pass
    AI 明确点名了 dvgodoy/PyTorchStepByStep

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • In one sentence, what problem does the repo dvgodoy/PyTorchStepByStep solve, and who is the primary audience?
    pass
    AI 未点名 dvgodoy/PyTorchStepByStep —— 很可能在说另一个项目

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

嵌入你的 GEO 徽章

把这个徽章贴进 dvgodoy/PyTorchStepByStep 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。

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  • 深度报告每月 10 次
  • 无品牌品类查询5,轻量 2
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