This repo hosts the website for the machine learning efficiency workshop at the 2022 Deep Learning Indaba.
The website is built using Jekyll and hosted on Github Pages. Files for the website are in the docs
directory. Each page is represented by a markdown .md
document. E.g. the index page is README.md
, the call for papers is cfp.md
, the organizers page is organizers.md
, etc. To update the website, use the following steps
- Clone the repo (or edit files in the
docs
directory directly via the github interface) - Optionally test your changes locally. Please follow the steps here to install jekyll locally and run a server.
bundle exec jekyll serve
- Once you are happy with your changes, push your changes to the repo. This will automatically rebuild and serve the website here.
And that's it!
Please feel free to make direct changes or suggest changes via a PR or issue.