Python Machine Learning Research Framework (PyMLRF)

PyMLRF is a general framework to aid with research projects developing and applying machine learning algorithms. The package will implement:

• Classes for handling file systems
• Training and validation loops for Pytorch as well as for more specific frameworks including d3rlpy
• Integration with weights and biases

## Motivation

• When experimenting with ML models there are often a number of artifacts that get reused between models;
• It useful to have configs of these in memory and it is difficult to manage the locations of all such artifacts
• Two base classes have been defined FileHandler and DirectoryHandler which tie an object in memory to a disk location

Model Tracking

• Model tracking is performed using the Tracker and Experiment class.
• The Tracker is an