Copyright (c) 2019, Justus Schock
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Description: # Deep Alignment Network PyTorch
[](https://travis-ci.com/justusschock/deep_alignment_network_pytorch) [](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%">
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
