The announcements and About page indicate an emphasis on visuals and presentation, which I apprI've. But when I think of "modern machine learning," I think of open-source and reproducibility (e.g. Jupyter notebooks).

Will the papers published on Distill maintain transparency of the statistical process?

I see in the submission notes that articles are required to be a public GitHub repo, which is a positive indicator. Although the actual code itself does not seem to be a requirement.