breadboardfoundry/awesome-ml-for-scientists
Resources for research teams running machine learning experiments.
This is a curated collection of resources designed for scientists like marine biologists, climate researchers, and ecologists who need to run machine learning experiments without large budgets or specialized ML engineering skills. It provides guidance on accessing affordable computing power, setting up reproducible workflows, and learning ML concepts and tools tailored for non-engineers. The goal is to help researchers efficiently apply machine learning to their scientific data and publish their findings.
Use this if you are a scientist needing practical guidance and accessible tools to integrate machine learning into your research, especially if you lack a dedicated ML engineering team or extensive prior experience.
Not ideal if you are an ML engineer working in an enterprise setting with significant budgets and established MLOps infrastructure.
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Dec 10, 2025
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