Awesome MLSS
A community project to keep track of deadlines for Machine Learning Summer Schools (MLSS) around the world

awesome-mlss.com is a community tool which serves as a central repository for registration deadlines at summer schools in machine learning and other closely related fields.

🧐 Wait, what happened to the old README.MD with the list of schools?

The old README which contained the list of all summer schools in a markdown format has been moved to the OLD_README.md file. We do not plan to maintain the old list anymore, but if you want to contribute to both the new list and the old list you are more than welcome to do so.

We believe that a website format with deadlines and calendar links suits our project better, and we hope you will find it more useful as well.

Contributions are very welcome!

To add or update a new summer school deadline:

• Fork the repository
• Optional: create a new branch with the name of the summer school
• Update site/_data/summerschools.yml
• Make sure it has the title, year, id, link, deadline, timezone, date, place, sub attributes
  • Please use one of the timezone string mentioned in timezones.
  • Please use one of the subcategory mentioned in topics. Use the value of the sub attribute to specify the subcategory.
• Optionally add a note in case there is important information to convey
• Example:

  - title: BestMLSS # (required❗)
    year: 2024 # (required❗)
    id: bestmlss24  # title as lower case + last two digits of year # (required❗)
    full_name: Best Machine Learning Summer School # full school name # (required❗)
    link: link-to-website.com # (required❗)
    deadline: YYYY-MM-DD HH:SS # (required❗)
    timezone: Asia/Seoul # (required❗)
    place: Incheon, South Korea # (required❗)
    date: September 18 - September 22, 2024 # (required❗)
    start: YYYY-MM-DD # (required❗)
    end: YYYY-MM-DD # (required❗)
    sub: Ml, NLP #(at least 1 required❗)
    note: Any important notes about the school # (optional🤙)

• Send a pull request

The awesome-mlss website was built upon the amazing work done by:

• https://aideadlin.es/ by @abhshkdz and Papers With Code
• pythondeadlin.es by @jesperdramsch

This project is licensed under MIT.

It uses:

• IcoMoon Icons: GPL / CC BY4.0