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AakashKumarNain/annotated_research_papers

默认分支 master · commit 43061b9e · 扫描时间 2026/5/10 01:57:26

星标 2,780 · Fork 269

AI 可见性总分
22 /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 1 · 警告 1 · 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 AakashKumarNain/annotated_research_papers 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 the README's opening to highlight unique value and audience

    原因:

    当前
    # Annotate Research Papers
    
    ## Why annotated papers?
    
    Do you love reading research papers? Or do you want to read more research papers but find them intimidating? Or are you looking for annotated research papers that are much easier to understand?
    
    If you are in any of the categories listed above, then you have arrived at the right place. I spend a lot of time reading papers. It is a crucial part of my ML work. If you want to do research or you want to be a better ML engineer, then you should read papers. This habit of reading papers will help you to remain updated with the field.
    复制粘贴的修复
    # Aakash's Annotated Research Papers: Easier Understanding for ML/DL
    
    This repository offers a curated collection of personally annotated research papers in Machine Learning and Deep Learning, designed to make complex topics much easier to understand. If you find research papers intimidating or want to grasp key concepts more efficiently, you've come to the right place. I share my detailed thought process and insights directly on the papers, helping you stay updated and deepen your understanding as an ML engineer or researcher.
  • mediumabout#2
    Add a homepage URL to the repository's About section

    原因:

    复制粘贴的修复
    https://aakashkumarnain.github.io/annotated_research_papers/
  • lowreadme#3
    Update the 'Note' in README to focus on the enduring value of digital annotations

    原因:

    当前
    **Note:** I am a pen-paper guy. Nothing beats the pen-paper reading experience, but in the ongoing scenarios (pandemic, lockdown, etc.), I am not able to print the papers. Taking this as an opportunity to share my thought process, I will be sharing the annotated research papers in this repo.
    复制粘贴的修复
    **Note:** While I appreciate traditional pen-and-paper methods, this repository provides a unique opportunity to share my detailed thought process and insights directly within the digital papers, making them accessible and searchable for everyone.

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 AakashKumarNain/annotated_research_papers
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
Papers With Code
在 2 个问题中被推荐 2 次
竞品排行
  1. Papers With Code · 被推荐 2 次
  2. Distill.pub · 被推荐 2 次
  3. Annotated Transformer · 被推荐 1 次
  4. The Gradient · 被推荐 1 次
  5. Towards Data Science · 被推荐 1 次
  • 品类问题
    Where can I find machine learning research papers with helpful annotations for easier understanding?
    你:未被推荐
    AI 推荐顺序:
    1. Papers With Code
    2. Distill.pub
    3. Annotated Transformer
    4. The Gradient
    5. Towards Data Science
    6. ArXiv Sanity Preserver

    AI 推荐了 6 个替代方案,却始终没点名 AakashKumarNain/annotated_research_papers。这就是要补上的差距。

    查看 AI 完整回答
  • 品类问题
    What are good resources for staying updated on deep learning research through curated papers?
    你:未被推荐
    AI 推荐顺序:
    1. Papers With Code
    2. Distill.pub
    3. Two Minute Papers
    4. arXiv Sanity Preserver (karpathy/arxiv-sanity-preserver)
    5. The Batch
    6. AI Alignment Newsletter
    7. Reddit

    AI 推荐了 7 个替代方案,却始终没点名 AakashKumarNain/annotated_research_papers。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
    warn

    建议:

  • 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 AakashKumarNain/annotated_research_papers?
    pass
    AI 未点名 AakashKumarNain/annotated_research_papers —— 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 AakashKumarNain/annotated_research_papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI 明确点名了 AakashKumarNain/annotated_research_papers

    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 AakashKumarNain/annotated_research_papers solve, and who is the primary audience?
    pass
    AI 未点名 AakashKumarNain/annotated_research_papers —— 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 AakashKumarNain/annotated_research_papers 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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AakashKumarNain/annotated_research_papers — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。

  • 深度报告每月 10 次
  • 无品牌品类查询5,轻量 2
  • 优先行动项8,轻量 3