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 includes a W&B integration for logging parameters, metrics, images, and other artifacts. Check out their documentation of the integration, which includes examples using Python and Hydra.Documentation Index
Fetch the complete documentation index at: https://wb-21fd5541-john-wbdocs-2044-rename-serverless-products.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.