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        "description": "# Olympic PyTorch\n\nOlympic implements a Keras-like API for PyTorch.\n\nThe goal of Olympic is to combine the joy of Pytorch's dynamic graph execution with the joy of Keras's high level abstractions\nfor training. Concretely, Olympic contains:\n\n1. The ``olympic.fit()`` function. This implements a very similar API\n    to Keras's ``model.fit`` and ``model.fit_generator`` methods in a\n    more functional and less object-oriented fashion and spares you\n    the effort of \"hand-rolling\" your own training loop.\n2. ``Callback`` objects that perform functionality common to most deep\n    learning training pipelines such as learning rate scheduling, model\n    checkpointing and csv logging. These integrate into ``olympic.fit()``\n    and spare you the effort of writing boilerplate code.\n3. Some helpful utility functions such as common metrics and some\n    convenience layers from Keras that are missing in PyTorch.\n\nDocumentation is available [here](https://olympic-pytorch.readthedocs.io/en/latest/)\n\nThis package is available on PyPi.\n\n```\npip install olympic\n```\n\n\n",
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