Zach Stoebner
Boilerplate code for building deep learning projects with PyTorch Lightning.
It is recommended to create a virtual environment for each project.
Requirements:
The main components are a dataset, a model, and a loss. Each module has abstract base classes to define those for a project. Basic classes are provided for each module, as well as an example config and a shell script to easily run configs.
Either clone the repo or use it as a submodule.
See inrlib for more example usage.