A web crawl of repositories from NeurIPS, ICML, ICLR, AISTATS, TMLR, and MLOSS quantifies low adoption of software engineering practices like licensing, packaging, and automated testing in ML research.
The ml test score: A rubric for ml production readiness and technical debt reduction
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More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research
A web crawl of repositories from NeurIPS, ICML, ICLR, AISTATS, TMLR, and MLOSS quantifies low adoption of software engineering practices like licensing, packaging, and automated testing in ML research.