{
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        "author": "Ethan Harris",
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        "description": "[![Python 2.7 | 3.5 | 3.6 | 3.7](https://img.shields.io/badge/python-2.7%20%7C%203.5%20%7C%203.6%20%7C%203.7-brightgreen.svg)](https://www.python.org/) [![PyTorch 1.1.0](https://img.shields.io/badge/pytorch-1.1.0-brightgreen.svg)](https://pytorch.org/) [![Build Status](https://travis-ci.com/pytorchbearer/visual.svg?branch=master)](https://travis-ci.com/pytorchbearer/visual)\n\n# \\[WIP\\] torchbearer.visual\nA visualisations library for PyTorch with torchbearer\n\n## Contents\n- [About](#about)\n- [Installation](#installation)\n\n<a name=\"about\"/>\n\n## About\n\nTorchbearer.variational is a companion package to [torchbearer](https://github.com/ecs-vlc/torchbearer) which is \nintended to re-implement state of the art practices in filter and feature visualisation.\n\n<a name=\"installation\"/>\n\n## Installation\n\nTBC\n\n",
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