A port of the Keras API to PyTorch
Olympic implements a Keras-like API for PyTorch.
The goal of Olympic is to combine the joy of Pytorch's dynamic graph execution with the joy of Keras's high level abstractions for training. Concretely, Olympic contains:
olympic.fit()function. This implements a very similar API to Keras's
model.fit_generatormethods in a more functional and less object-oriented fashion and spares you the effort of "hand-rolling" your own training loop.
Callbackobjects that perform functionality common to most deep learning training pipelines such as learning rate scheduling, model checkpointing and csv logging. These integrate into
olympic.fit()and spare you the effort of writing boilerplate code.
- Some helpful utility functions such as common metrics and some convenience layers from Keras that are missing in PyTorch.
Documentation is available here
This package is available on PyPi.
pip install olympic
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