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Title: Introduction to Equivariant Learning tutorial

Summary: It's a tutorial on Equivariant Learning

Relevant references: https://arxiv.org/abs/2205.06217

Possible Drawbacks: The runtime is unfortunately quite long. The thumbnail is a bit rubbish. I'm not totally convinced the seed is really fixed having seen the build here.

Related GitHub Issues:

Thank you for opening this pull request.

You can find the built site at this link.

Deployment Info:

• Pull Request ID: 542
• Deployment SHA: 7a1ec3079cb0f5fad2467936537f5a6525814677 (The Deployment SHA refers to the latest commit hash the docs were built from)

Note: It may take several minutes for updates to this pull request to be reflected on the deployed site.

Thanks for the review @gideonuchehara and for the changes @RDPEast I'm going to give it a formatting review and read it again! We will probably mark the demo as finished next week 🚀

Hey @RDPEast !

Now that I'm looking at it, this demo is going to require a little extra work 💪 Normally, every time we update the web page, all the demos are run to generate the outputs. However, there are some demos that take a long time to run and we decided not to run them automatically. In this case, the demo takes 35 minutes to deploy so it would be better not to run it with each update. The main difference is that you have to enter the outputs (either images or text) manually. Here is a link to a demo where this happens. Also you should remove the word "tutorial_" from the name of the demo, since that is the indicator that the code is executed each time. If you have any doubt let me know 😊

@co9olguy Which fixes are you referring to, as far as I can tell I'm accepting most of them?