2023 Updates and Citation

What's Changed

• Tutorial 🠒 Jupyter Book by @JesperDramsch in #3

Full Changelog: PyData-Global-2022...Citation-2023

PyData Global 2022

Numerous scientific disciplines have noticed a reproducibility crisis of published results. While this important topic was being addressed, the danger of non-reproducible and unsustainable research artefacts using machine learning in science arose. The brunt of this has been avoided by better education of reviewers who nowadays have the skills to spot insufficient validation practices. However, there is more potential to further ease the review process, improve collaboration and make results and models available to fellow scientists. This workshop will teach practical lessons that can be directly applied to elevate the quality of ML applications in science by scientists.

realworld-ml.xyz

What's Changed

• PR to Fix environment setup, README and dry-run of all existing notebooks by @leriomaggio in #1
• Expanded example in Model Evaluation + updated scripts and rendered notebooks by @leriomaggio in #2

New Contributors

• @leriomaggio made their first contribution in #1

Full Changelog: EuroSciPy-2022...PyData-Global-2022

EuroSciPy 2022 tutorial

This is a tutorial for Euroscipy 2022, the official schedule and announcement are here.

This tutorial is available here: https://github.com/JesperDramsch/euroscipy-2022-ml-for-science-reproducibility-tutorial

This proposal has received funding through the 2022 fellowship of the Software Sustainability Institute.

To be able to evolve this repo to the best state possible and collaborate, this release preserves the state of the repo from the tutorial.