Deep learning pipelines are hard to reason about and difficult to code consistently.
Instead of remembering where to put everything and making a different choice for each project, this repository is an attempt to standardize on good defaults.
Think of it like a mini-pytorch lightening, with all the fory internals exposed for extension and modification.
The motivation for building a template for deep learning pipelines is this: deep learning is hard enough without every code baase being a little different.
Especially in a research lab, standardizing on a few components makes switching between projects easier.