Added XOR-Regression tutorial.

ahenkes1 commented 1 year ago

Objective of pull request:

I wrote a simple, minimalistic regression tutorial using the lava-dl framework. It consists of optional installation instructions for Google Colab, such that everybody can directly dive into it without problems! A simple XOR task is solved using a small CUBA network. Despite being a toy example, this tutorial can aid as a basis for LAVA-DL beginners interested in regression tasks. Important keywords are linked to further resources.

Pull request checklist

Your PR fulfills the following requirements:

[ ] Issue created that explains the change and why it's needed
[ ] Tests are part of the PR (for bug fixes / features)
[ ] Docs reviewed and added / updated if needed (for bug fixes / features)
[ x] PR conforms to Coding Conventions
[ x] PR applys BSD 3-clause or LGPL2.1+ Licenses to all code files
[x ] Lint (flakeheaven lint src/lava tests/) and (bandit -r src/lava/.) pass locally
[x ] Build tests (pytest) passes locally

Pull request type

[ ] Bugfix
[ ] Feature
[ ] Code style update (formatting, renaming)
[ ] Refactoring (no functional changes, no api changes)
[ ] Build related changes
[ ] Documentation changes
[x ] Other (please describe): Tutorial

Does this introduce a breaking change?

[ ] Yes
[x ] No

Supplemental information

timcheck commented 1 year ago

Thanks @ahenkes1, looks really nice. I agree with @bamsumit install instructions are already available https://github.com/lava-nc/lava-dl/#windowsmacoslinux, so should not be included in the tutorial itself.

You could also add your tutorial to the list of tutorials on https://github.com/lava-nc/lava-dl#getting-started.

ahenkes1 commented 1 year ago

@timcheck , @bamsumit everything should be fine now!

ahenkes1 commented 1 year ago

Hello @timcheck , @bamsumit , @PhilippPlank , is there still something to do here?

lava-nc / lava-dl