Catalyst is a PyTorch framework for deep learning R&D that focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new.
Catalyst has an awesome W&B integration for logging parameters, metrics, images, and other artifacts.
Check out their documentation of the integration here, including examples using Python and Hydra.
Interactive Example
Run this example colab to see Catalyst and W&B integration in action.