This repo is a support for the articles on deep learning in production I've published on my blog.
They cover different approaches to setup reproducible environments to develop deep learning projects that are suitable to deploy in production and scale among your teammates.
The example in part1 covers the setup of a conda
environment with pytorch
and its dockerization for deployment in production.