REPOGEO 报告 · LITE
digantamisra98/Mish
默认分支 master · commit 5e99b160 · 扫描时间 2026/5/25 12:48:05
星标 1,300 · Fork 127
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 digantamisra98/Mish 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#1Add a concise introductory paragraph to the README
原因:
当前The README excerpt shows badges and a <details> tag immediately after the H1, potentially delaying the core descriptive text.
复制粘贴的修复Add a paragraph immediately after the initial badges/H1, such as: 'Mish is a novel self-regularized, non-monotonic activation function designed to significantly improve deep learning model accuracy and generalization. It consistently outperforms common alternatives like ReLU, Swish, and GELU across various computer vision tasks by providing a smoother, non-zero gradient everywhere.'
- mediumreadme#2Add a 'Comparison' section to the README
原因:
复制粘贴的修复Add a new section to the README, e.g., 'Comparison with other Activation Functions,' detailing how Mish's smooth, non-monotonic, and self-regularized properties offer advantages over ReLU, Swish, and GELU, particularly in terms of performance and generalization.
- mediumreadme#3Move important variant links out of the 'Notes' details tag
原因:
当前The README excerpt shows important links (CUDA, memory-efficient, faster variants) nested inside a <details> tag.
复制粘贴的修复Create a new top-level section in the README, such as 'Performance Enhancements and Variants,' and move the links and descriptions for Mish CUDA, memory-efficient versions, and other faster variants out of the 'Notes' <details> tag into this new, visible section.
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。
- Swish · 被推荐 2 次
- GELU · 被推荐 2 次
- ReLU · 被推荐 1 次
- Leaky ReLU · 被推荐 1 次
- ELU · 被推荐 1 次
- 品类问题What activation functions improve deep learning model accuracy and generalization?你:第 6 位AI 推荐顺序:
- ReLU
- Leaky ReLU
- ELU
- Swish
- GELU
- Mish ← 你
查看 AI 完整回答
- 品类问题Seeking non-monotonic activation functions for computer vision tasks in deep neural networks.你:第 3 位AI 推荐顺序:
- Swish
- SiLU
- Mish ← 你
- GELU
- Snake
- Softsign
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 completenesspass
- 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 digantamisra98/Mish?passAI 明确点名了 digantamisra98/Mish
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 digantamisra98/Mish in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 digantamisra98/Mish
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 digantamisra98/Mish solve, and who is the primary audience?passAI 明确点名了 digantamisra98/Mish
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 digantamisra98/Mish 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/digantamisra98/Mish)<a href="https://repogeo.com/zh/r/digantamisra98/Mish"><img src="https://repogeo.com/badge/digantamisra98/Mish.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
digantamisra98/Mish — 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