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mbadry1/Trending-Deep-Learning
默认分支 master · commit 24fecb29 · 扫描时间 2026/5/31 00:37:31
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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 mbadry1/Trending-Deep-Learning 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。
- highreadme#1Reposition README opening to clarify content and metric
原因:
当前# Trending deep learning Github repositories Here's a list of top 100 deep learning Github trending repositories sorted by the number of stars gained on a specific day.
复制粘贴的修复# Trending Deep Learning GitHub Repositories by Daily Star Growth This repository provides a regularly updated, curated list of the top 100 deep learning GitHub repositories, specifically sorted by the number of stars gained on a given day. It's designed for researchers and practitioners looking to quickly discover recently popular and actively developed deep learning projects.
- mediumhomepage#2Add a homepage URL to the repository metadata
原因:
复制粘贴的修复https://github.com/mbadry1/Trending-Deep-Learning
- lowtopics#3Add 'curated-list' and 'awesome-list' topics
原因:
当前artificial-intelligence, artificial-neural-networks, convolutional-neural-networks, deep-learning, deep-neural-networks, deep-reinforcement-learning, machine-learning, recurrent-neural-networks, stargazers-count, trending-repositories
复制粘贴的修复artificial-intelligence, artificial-neural-networks, convolutional-neural-networks, deep-learning, deep-neural-networks, deep-reinforcement-learning, machine-learning, recurrent-neural-networks, stargazers-count, trending-repositories, curated-list, awesome-list
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。
- Papers With Code · 被推荐 2 次
- Reddit · 被推荐 2 次
- GitHub Trending · 被推荐 1 次
- Hugging Face · 被推荐 1 次
- Twitter · 被推荐 1 次
- 品类问题Where can I find recently popular deep learning projects by daily star growth?你:未被推荐AI 推荐顺序:
- GitHub Trending
- Hugging Face
- Papers With Code
- Awesome Deep Learning Lists
- Product Hunt
AI 推荐了 7 个替代方案,却始终没点名 mbadry1/Trending-Deep-Learning。这就是要补上的差距。
查看 AI 完整回答
- 品类问题How can I discover new and actively developed deep learning repositories to explore?你:未被推荐AI 推荐顺序:
- GitHub
- Hugging Face Hub
- Papers With Code
- arXiv Sanity Preserver
- arXiv.org
- Twitter (X)
- Awesome Deep Learning (ChristosChristofidis/awesome-deep-learning)
- Awesome Machine Learning (josephmisiti/awesome-machine-learning)
AI 推荐了 10 个替代方案,却始终没点名 mbadry1/Trending-Deep-Learning。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 completenesswarn
建议:
- README presencepass
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 mbadry1/Trending-Deep-Learning?passAI 未点名 mbadry1/Trending-Deep-Learning —— 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 mbadry1/Trending-Deep-Learning in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 mbadry1/Trending-Deep-Learning
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 mbadry1/Trending-Deep-Learning solve, and who is the primary audience?passAI 未点名 mbadry1/Trending-Deep-Learning —— 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 mbadry1/Trending-Deep-Learning 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。
[](https://repogeo.com/zh/r/mbadry1/Trending-Deep-Learning)<a href="https://repogeo.com/zh/r/mbadry1/Trending-Deep-Learning"><img src="https://repogeo.com/badge/mbadry1/Trending-Deep-Learning.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
mbadry1/Trending-Deep-Learning — 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