mintisan/awesome-kan

• highreadme#1

  Clarify README opening to prevent Kanban confusion

  原因：

  当前

  A curated list of awesome libraries, projects, tutorials, papers, and other resources related to Kolmogorov-Arnold Network (KAN). This repository aims to be a comprehensive and organized collection that will help researchers and developers in the world of KAN!

  复制粘贴的修复

  复制

  A curated list of awesome libraries, projects, tutorials, papers, and other resources related to **Kolmogorov-Arnold Networks (KANs)**. This is *not* about Kanban project management. This repository aims to be a comprehensive and organized collection that will help researchers and developers in the world of KANs!

  待办完成忽略
• hightopics#2

  Add relevant topics to the repository

  原因：

  当前

  (none)

  复制粘贴的修复

  复制

  kolmogorov-arnold-networks, kan, neural-networks, machine-learning, deep-learning, awesome-list, research, ai

  待办完成忽略
• highlicense#3

  Add a LICENSE file to the repository

  原因：

  当前

  (no LICENSE file detected — the repo has no recognizable license)

  复制粘贴的修复

  复制

  Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the terms of use for the content.

  待办完成忽略

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

• 品类问题

  Seeking libraries and projects for neural networks inspired by the Kolmogorov-Arnold representation.

  你：未被推荐
  AI 推荐顺序：

  1. Kolmogorov-Arnold Network (KANs) (kindness/KAN)
  2. pykan library
  3. nflows
  4. deep-spline-networks
  5. interpret-ml
  6. tf-neural-additive-models
  7. pytorch-forecasting
  8. scikit-learn

  AI 推荐了 8 个替代方案，却始终没点名 mintisan/awesome-kan。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Where can I find tutorials and papers on advanced function approximation neural network architectures?

  你：未被推荐
  AI 推荐顺序：

  1. arXiv.org
  2. Google Scholar
  3. Distill.pub
  4. NeurIPS
  5. ICLR
  6. Journal of Machine Learning Research
  7. DeepMind
  8. OpenAI

  AI 推荐了 8 个替代方案，却始终没点名 mintisan/awesome-kan。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  fail

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of mintisan/awesome-kan?

  pass
  ✓AI 明确点名了 mintisan/awesome-kan

  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 mintisan/awesome-kan in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 mintisan/awesome-kan

  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 mintisan/awesome-kan solve, and who is the primary audience?

  pass
  ⚠AI 未点名 mintisan/awesome-kan —— 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？