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[P]: Best Practice for Cache/Processed Data Management

In ML research, we often have tons of cache files to read from disk. As a project progesses, I often end up with lots of cache files which I don’t remember how they were created. My current way to keeping track of cache files and preprocessed files is by writing it down when it is created and why.

I am wondering if anyone has a way to automate this process? I heard something like DVC (https://github.com/iterative/dvc), but it seems to be too complicated.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.