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# ProtoTorch: Prototype Learning in PyTorch
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![ProtoTorch Logo ](https://prototorch.readthedocs.io/en/latest/_static/horizontal-lockup.png )
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[![Build Status ](https://travis-ci.org/si-cim/prototorch.svg?branch=master )](https://travis-ci.org/si-cim/prototorch)
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![tests ](https://github.com/si-cim/prototorch/workflows/tests/badge.svg )
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[![PyPI ](https://img.shields.io/pypi/v/prototorch )](https://pypi.org/project/prototorch/)
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*Tensorflow users, see:* [ProtoFlow ](https://github.com/si-cim/protoflow )
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## Description
This is a Python toolbox brewed at the Mittweida University of Applied Sciences
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in Germany for bleeding-edge research in Prototype-based Machine Learning
methods and other interpretable models. The focus of ProtoTorch is ease-of-use,
extensibility and speed.
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## Installation
ProtoTorch can be installed using `pip` .
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```bash
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pip install -U prototorch
```
To also install the extras, use
```bash
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pip install -U prototorch[all]
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```
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*Note: If you're using [ZSH ](https://www.zsh.org/ ), the square brackets `[ ]`
have to be escaped like so: `\[\]` , making the install command `pip install -U
prototorch\[all\]`.*
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To install the bleeding-edge features and improvements:
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```bash
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git clone https://github.com/si-cim/prototorch.git
git checkout dev
cd prototorch
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pip install -e .[all]
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```
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## Documentation
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The documentation is available at < https: / / www . prototorch . ml / en / latest / > . Should
that link not work try < https: / / prototorch . readthedocs . io / en / latest / > .
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## Bibtex
If you would like to cite the package, please use this:
```bibtex
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@misc {Ravichandran2020b,
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author = {Ravichandran, J},
title = {ProtoTorch},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/si-cim/prototorch}}
}