Catalyst is PyTorch framework for Deep Learning research and development. You get a training loop with metrics, model checkpointing, advanced logging and distributed training support without the boilerplate.
Core advantages (features)
It enables creating deep learning pipelines with just a few lines of code. It is compatible with Python 3.6+ and PyTorch 1.3+ versions. It enables the creation of a universal train/inference loop with features such as evaluation metrics, model checkpointing and early-stopping included
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