https://github.com/carpentries-incubator/reproducible-ml-workflows
Reproducible Machine Learning Workflows for Scientists
https://github.com/carpentries-incubator/reproducible-ml-workflows
english hardware-acceleration lesson machine pixi pre-alpha
Last synced: 5 months ago
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Reproducible Machine Learning Workflows for Scientists
- Host: GitHub
- URL: https://github.com/carpentries-incubator/reproducible-ml-workflows
- Owner: carpentries-incubator
- License: other
- Created: 2025-04-16T14:24:37.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-05-07T01:56:06.000Z (5 months ago)
- Last Synced: 2025-05-07T02:47:47.665Z (5 months ago)
- Topics: english, hardware-acceleration, lesson, machine, pixi, pre-alpha
- Language: R
- Homepage: https://carpentries-incubator.github.io/reproducible-ml-workflows/
- Size: 6.15 MB
- Stars: 0
- Watchers: 6
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
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README
# Reproducible Machine Learning Workflows for Scientists
> [!TIP]
> This lesson uses [The Carpentries Workbench][workbench].
## Using the lesson
To step through the lesson, please follow it on its website at https://carpentries-incubator.github.io/reproducible-ml-workflows/
## Developing the lesson
Similar to the lesson itself, development of the lesson uses [Pixi](https://pixi.sh/) to have unified multi-platform reproducible environments.
To start developing:
1. [Install Pixi](https://pixi.sh/)
2. [Fork this repository on GitHub](https://github.com/carpentries-incubator/reproducible-ml-workflows/fork)
3. Clone your fork and navigate to the top level of the repository
4. Run
```
pixi run start
```
and then open up the served site in your local browser and carry on with development.
[workbench]: https://carpentries.github.io/sandpaper-docs/