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Copyright (c) 2019, Justus Schock All rights reserved.
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- Description: # Deep Alignment Network PyTorch
[![Build Status](https://travis-ci.com/justusschock/deep_alignment_network_pytorch.svg?branch=master)](https://travis-ci.com/justusschock/deep_alignment_network_pytorch) [![codecov](https://codecov.io/gh/justusschock/deep_alignment_network_pytorch/branch/master/graph/badge.svg)](https://codecov.io/gh/justusschock/deep_alignment_network_pytorch)
This repository contains a [delira](https://github.com/justusschock/delira)-compatible implementation of the Deep Alignment Network.
The original implementation can be found [here](https://github.com/MarekKowalski/DeepAlignmentNetwork) and the paper is available on [arXiv](https://arxiv.org/abs/1706.01789)
An example using the HELEN dataset can be found in the [notebooks](notebooks/felen_example.ipynb) folder.
## Installation
This repository can be installed from pip via: ` pip install deep-alignment-pytorch `
or from source via ` pip install git+https://github.com/justusschock/deep_alignment_network_pytorch `
An installation from pip will be possible soon, once the complete repository setup is completed.
## Poster (taken from original implementation) <img src=”http://home.elka.pw.edu.pl/~mkowals6/lib/exe/fetch.php?media=wiki:dan-poster.jpg” width=”60%”>
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