Add `xbatcher` machine learning cookbook to resource gallery

[cmdupuis3]

Hi all! I wanted to get the submission process started, but for now, the repo linked here is only a draft.

---
url: 'https://github.com/cmdupuis3/xbatcher-ML-1-cookbook' # The URL link to the resource you are submitting.
thumbnail: '' # The URL link to the thumbnail image associated with this resource.
title: 'Using `xbatcher` with Machine Learning Workflows (part 1)' # The title of the resource.
description: 'An end-to-end tutorial on how to use the [`xbatcher`](https://xbatcher.readthedocs.io/en/latest/) package with a straightforward convolutional neural network in Keras/Tensorflow.' # A brief description of the resource.
authors: # Mulitiple authors are supported, add each author separately.
  - name: 'Christopher Dupuis' # The name of the first author.
    institution: '' # The institution of the authors / first author (more appropriate than name if a large team worked on the resource).
    institution_url: '' # The URL link to the institution website.
    email: '' # The author's email, if publically available.
  - name: 'Anirban Sinha' # The name of the second+ author.
    institution: ''
    institution_url: ''
    email: ''
  - name: 'Ryan Abernathey' # The name of the second+ author.
    institution: ''
    institution_url: ''
    email: ''
tags: # Replace or delete the "unspecified" tag for each section with keywords associated with the resource. Multi-word tags should be entered with a space between the words (i.e. not joined with a `-`).
  packages:
    - xbatcher # List each Python package associated with this resource on a separate line (each entry on a new line, starting with a `-`).
    - tensorflow
    - keras
  formats:
    - tutorial # List the formats this resource takes. Currently used format tags include: book, course, documentation, gallery, tutorial, and video (but you may submit an entirely new tag if these do not best suit the resource).
  domains:
    - machine learning # List the domains associated with this resource so users may sort by areas of interest (e.g. remote sensing).
    - oceanography
    - software engineering
  affiliation:
    - M2LInES # List of the affiliated projects or organizations associated with this resource.
    - LEAP
    - Columbia University
    - Lamont-Doherty Earth Observatory
---

[github-actions[bot]]

Thank you for your contribution 🎉, @cmdupuis3!

We're currently running validation checks to make sure the contents of your submission are okay. An update will be posted here shortly once the validation checks are passing.

[brian-rose]

Hi @cmdupuis3, this looks cool and! I'm just wondering if your eventual intention is to house this cookbook in our Cookbook Gallery at https://cookbooks.projectpythia.org? That gallery is maintained in a separate repo: https://github.com/ProjectPythia/cookbook-gallery

Up til now we haven't been cross-listing the Cookbooks in this "Resource Gallery" ... although maybe we should. That's a good question for @ProjectPythia/education to consider.

[cmdupuis3]

Oops, yeah that is the plan. The contribution guide links to this repo though, so maybe that needs to be updated.

[brian-rose]

Good point! That guide definitely needs updating with some Cookbook-specific info.

[clyne]

I think a while back we decided that content created by the Pythia maintainers (e.g. Foundations) should be cross listed in the Resource Gallery. I don't see why we wouldn't want to include Cookbooks. Automating the process would be ideal.

[cmdupuis3]

Merged elsewhere