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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. For more information, including examples that use Python and Hydra, see the Catalyst integration documentation.

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Interactive example

To try the Catalyst and W&B integration, open the example Colab notebook.