672 B
672 B
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