• 自动机器学习 AutoML
• • 0.Papers
  • 1.Introduction and Tutorials
  • 2.AutoML Areas and Papers
  • 3.Theory and Survey
  • 4.Code
  • 5.Scholars
  • 6.Thesis
  • 7.Datasets and Benchmarks
  • 8.AutoML Challenges
  • Applications
  • Other Resources
  • Contributing
  • • Copyright notice

自动机器学习 AutoML

• Papers（论文）
• Introduction and Tutorials (简介与教程)
• AutoML Areas and Papers (研究领域与相关论文)
• Theory and Survey (理论与综述))
• Code (代码)
• Scholars (著名学者)
• Thesis (硕博士论文)
• AutoML Challenges (自动机器学习比赛)
• Applications (应用)
• Other Resources (其他资源)
• Contributing (欢迎参与贡献)
• Copyright notice

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0.Papers

Latest papers: (All papers are also put in doc/awesome_papers.md)

Latest papers (2021-11-30)

• IEEE Transactions on Artificial Intelligence CSNAS: Contrastive Self-supervised Learning Neural Architecture Search via Sequential Model-Based Optimization
  • 自监督+NAS

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1.Introduction and Tutorials

Want to quickly learn AutoML？想尽快入门自动机器学习？看下面的教程。

• Books 书籍

• Blogs 博客

• Video tutorials 视频教程

• Brief introduction and slides 简介与ppt资料

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2.AutoML Areas and Papers

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3.Theory and Survey

Here are some articles on AutoML theory and survey.

Survey (综述文章)：

Theory（理论文章）:

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4.Code

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5.Scholars

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6.Thesis

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7.Datasets and Benchmarks

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8.AutoML Challenges

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Applications

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Other Resources

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Contributing

If you are interested in contributing, please refer to HERE for instructions in contribution.

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Copyright notice

[Notes]This Github repo can be used by following the corresponding licenses. I want to emphasis that it may contain some PDFs or thesis, which were downloaded by me and can only be used for academic purposes. The copyrights of these materials are owned by corresponding publishers or organizations. All this are for better adademic research. If any of the authors or publishers have concerns, please contact me to delete or replace them.