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3 changes: 0 additions & 3 deletions docs/contact.md
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Expand Up @@ -8,6 +8,3 @@ If you need any help with setting up a Github repository with any of the tools s
- Jørgen S. Dokken: <i class="fab fa-github"></i> [jorgensd](https://github.com/jorgensd)
- Henrik N.T. Finsberg: <i class="fab fa-github"></i> [finsberg](https://github.com/finsberg)
- Nickolas Forsch: <i class="fab fa-github"></i> [nforsch](https://github.com/nforsch)
- Anne Fouilloux: <i class="fab fa-github"></i> [annefou](https://github.com/annefou)
- Ingeborg Gjerde: <i class="fab fa-github"></i> [IngeborgGjerde](https://github.com/IngeborgGjerde)
- Benjamin Ragan-Kelley: <i class="fab fa-github"></i> [minrk](https://github.com/minrk)
2 changes: 2 additions & 0 deletions docs/resources.md
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Expand Up @@ -12,4 +12,6 @@ There are a few very good online guides on reproducible research.

- [Papers with code](https://github.com/paperswithcode) which is probably more targeted machine learning projects. The also have a pretty comprehensive guide at https://github.com/paperswithcode/releasing-research-code.

- [Reproducible Machine Learning Workflows for Scientists with Pixi](https://matthewfeickert-talks.github.io/reproducible-ml-for-scientists-with-pixi-scipy-2025/) is practical introduction to using Pixi to easily create scientific and AI/ML environments

Getting inspiration from other project is often a good way. Papers with code also has a [web page](https://paperswithcode.com) where you can search for papers with code. For example you, could try to [search for FEniCS](https://paperswithcode.com/search?q_meta=&q_type=&q=FEniCS) and you will get a list of projects where FEniCS is mentioned.
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