From a77759d361153d7221e477f143a222a5e68a4a35 Mon Sep 17 00:00:00 2001 From: Henrik Finsberg Date: Wed, 29 Oct 2025 08:36:34 +0100 Subject: [PATCH] Remove min, ingeborg and anne from contacts and add a new resource --- docs/contact.md | 3 --- docs/resources.md | 2 ++ 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/docs/contact.md b/docs/contact.md index cc07073..aa4f35e 100644 --- a/docs/contact.md +++ b/docs/contact.md @@ -8,6 +8,3 @@ If you need any help with setting up a Github repository with any of the tools s - Jørgen S. Dokken: [jorgensd](https://github.com/jorgensd) - Henrik N.T. Finsberg: [finsberg](https://github.com/finsberg) - Nickolas Forsch: [nforsch](https://github.com/nforsch) -- Anne Fouilloux: [annefou](https://github.com/annefou) -- Ingeborg Gjerde: [IngeborgGjerde](https://github.com/IngeborgGjerde) -- Benjamin Ragan-Kelley: [minrk](https://github.com/minrk) diff --git a/docs/resources.md b/docs/resources.md index 2076847..f7341a0 100644 --- a/docs/resources.md +++ b/docs/resources.md @@ -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.