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[D] Reflinks vs. Symlinks vs. Hard Links: How They Can Help ML Projects

In ML projects hard links and symbolic links can help us, when setting up new experiments, to rearrange data files quickly and efficiently. However, with traditional links, we run the risk of polluting the data files with erroneous edits.

The article explain details of using links, some cool new stuff in modern file systems (reflinks), and an example of how DVC (Data Version Control) tool leverages this for managing ML project datasets and workflow: Reflinks vs symlinks vs hard links, and how they can help machine learning projects

submitted by /u/cmstrump
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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.