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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. Check out their documentation of the integration, which includes examples using Python and Hydra.

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Interactive Example

Run an example colab to see Catalyst and W&B integration in action.
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