Toolkit for (More) Reproducible Machine Learning Projects

A deep-in the tools to use for building a more reproducible ML project

David Beauchemin

8 minutes read

Over the past years, I’ve worked on various machine learning projects (mostly research ones), and I’ve faced numerous problems along the way that impacted the reproducibility of my results. I had to regularly (not without hating myself) take a lot of time to resolve which experiment was the best and which settings were associated with those results. Even worse, finding where the heck were my results was painful. All these situations made my work difficult to reproduce and also…

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