/ml_pipeline

This is for status meeting

Primary LanguagePython

Mimimal Viable Deep Learning Infrastructure

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.

Usage

Install:

Install the conda requirements:

make install

Which is a proxy for calling:

conda env updates -n ml_pipeline --file environment.yml

Run:

Run the code on MNIST with the following command:

make run