DaoSword/Time-Series-Forecasting-and-Deep-Learning

• highreadme#1

  Reposition README H1 and opening paragraph to emphasize "curated list"

  原因：

  当前

  # Time Series Forecasting and Deep Learning
  
  List of research papers focus on time series forecasting and deep learning, as well as other resources like competitions, datasets, courses, blogs, code, etc.

  复制粘贴的修复

  复制

  # Awesome Time Series Forecasting and Deep Learning Resources
  
  A curated and comprehensive list of research papers, competitions, datasets, courses, blogs, code, and other valuable resources focused on time series forecasting and deep learning.

  待办完成忽略
• mediumlicense#2

  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, Apache-2.0, or CC-BY-4.0 for content) in the repository root.

  待办完成忽略
• lowhomepage#3

  Add a homepage URL to the repository's About section

  原因：

  复制粘贴的修复

  复制

  Add a relevant URL (e.g., a GitHub Pages site for the list, or a related project page) to the 'Homepage' field in the repository settings.

  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

  Where can I find recent research papers on deep learning for time series prediction?

  你：未被推荐
  AI 推荐顺序：

  1. arXiv.org
  2. Google Scholar
  3. Papers With Code
  4. NeurIPS (Conference on Neural Information Processing Systems) Proceedings
  5. ICML (International Conference on Machine Learning) Proceedings
  6. KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) Proceedings
  7. IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  8. Pattern Analysis and Machine Intelligence (TPAMI)

  AI 推荐了 8 个替代方案，却始终没点名 DaoSword/Time-Series-Forecasting-and-Deep-Learning。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 learning time series analysis and deep learning models?

  你：未被推荐
  AI 推荐顺序：

  1. Forecasting: Principles and Practice
  2. Deep Learning for Time Series Forecasting
  3. Deep Learning
  4. Time Series Analysis and Forecasting with Python
  5. statsmodels
  6. TensorFlow
  7. Keras
  8. Practical Time Series Analysis
  9. Kaggle Learn Courses

  AI 推荐了 9 个替代方案，却始终没点名 DaoSword/Time-Series-Forecasting-and-Deep-Learning。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of DaoSword/Time-Series-Forecasting-and-Deep-Learning?

  pass
  ✓AI 明确点名了 DaoSword/Time-Series-Forecasting-and-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？

• If a team adopts DaoSword/Time-Series-Forecasting-and-Deep-Learning in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 DaoSword/Time-Series-Forecasting-and-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 DaoSword/Time-Series-Forecasting-and-Deep-Learning solve, and who is the primary audience?

  pass
  ⚠AI 未点名 DaoSword/Time-Series-Forecasting-and-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？