Great to see DVC being discussed here! As a tool, it’s done a lot to simplify version control for data and models, and it’s been a game-changer for
many in the MLOps space.
Specifically, it's a genius way to store large files in git repos directly on any object storage without custom application servers like git-lfs or rewriting git from scratch...
At DagsHub [0], we've integrated directly with DVC for a looong time, so teams can use it with added features like visualizing and labeling datasets managing and models, running experiments collaboratively, and tracking everything (code, data, models, etc.) all in one place.
Just wanted to share that for those already using or considering DVC—there are some options to use it as a building block in a more end-to-end toolchain.
Specifically, it's a genius way to store large files in git repos directly on any object storage without custom application servers like git-lfs or rewriting git from scratch...
At DagsHub [0], we've integrated directly with DVC for a looong time, so teams can use it with added features like visualizing and labeling datasets managing and models, running experiments collaboratively, and tracking everything (code, data, models, etc.) all in one place.
Just wanted to share that for those already using or considering DVC—there are some options to use it as a building block in a more end-to-end toolchain.
[0] https://dagshub.com