Merge branch 'master' of https://github.com/williamFalcon/pytorch-lightning
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Pytorch Lightning
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</h3>
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<p align="center">
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The Keras for ML-researchers in PyTorch. More control. Less boilerplate.
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The Keras for ML researchers using PyTorch. More control. Less boilerplate.
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</p>
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<p align="center">
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<a href="https://badge.fury.io/py/pytorch_lightning"><img src="https://badge.fury.io/py/pytorch_lightning.svg"></a>
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<a href="https://travis-ci.org/williamFalcon/test-tube"><img src="https://travis-ci.org/williamFalcon/pytorch-lightning.svg?branch=master"></a>
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<a href="https://badge.fury.io/py/pytorch-lightning"><img src="https://badge.fury.io/py/pytorch-lightning.svg" alt="PyPI version" height="18"></a>
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<!-- <a href="https://travis-ci.org/williamFalcon/test-tube"><img src="https://travis-ci.org/williamFalcon/pytorch-lightning.svg?branch=master"></a> -->
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<a href="https://github.com/williamFalcon/pytorch-lightning/blob/master/LICENSE"><img src="https://img.shields.io/badge/License-MIT-yellow.svg"></a>
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</p>
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## Docs
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In progress. Documenting now!
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## Disclaimer
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This is a research tool I built for myself internally while doing my PhD. The API is not 100% production quality, but my hope is that by open-sourcing, we can all get it there (I don't have too much time nowadays to write production-level code).
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## What is it?
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Keras is too abstract for researchers. Lightning makes it so you only have to define your model but still control all details of training if you need to.
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