Add a page for "a brief guideline: downstream integration"
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Domain
- documentation, machine-learning
Research direction
No documentation file or entry point is named in the issue, so first locate the project's documentation structure and identify where a downstream-integration page belongs. Use the issue's two required sections as the checklist: references to past published work and repositories, plus the plan for a hybrid AI simulator using E3SM-MMF. Done when both sections are published in the appropriate documentation location.
Written by the indexing model from the issue text.
Description
A brief guideline for downstream integration, including
- references of past published work (incl. their repo)
- our plan to implement a hybrid AI simulator using E3SM-MMF.
- Dominant language
- Jupyter Notebook
- Stars
- 163
- Forks
- 53
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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