# ProtoTorch: Prototype Learning in PyTorch

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*Tensorflow users, see:* [ProtoFlow](https://github.com/si-cim/protoflow)

## Description

This is a Python toolbox brewed at the Mittweida University of Applied Sciences
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.

## Installation

ProtoTorch can be installed using `pip`.
```bash
pip install -U prototorch
```
To also install the extras, use
```bash
pip install -U prototorch[all]
```

*Note: If you're using [ZSH](https://www.zsh.org/) (which is also the default
shell on MacOS now), the square brackets `[ ]` have to be escaped like so:
`\[\]`, making the install command `pip install -U prototorch\[all\]`.*

To install the bleeding-edge features and improvements:
```bash
git clone https://github.com/si-cim/prototorch.git
cd prototorch
git checkout dev
pip install -e .[all]
```

## Documentation

The documentation is available at <https://www.prototorch.ml/en/latest/>. Should
that link not work try <https://prototorch.readthedocs.io/en/latest/>.

## Contribution

This repository contains definition for [git hooks](https://githooks.com).
[Pre-commit](https://pre-commit.com) gets installed as development dependency with prototorch.
Please install the hooks by running
```bash
pre-commit install
pre-commit install --hook-type commit-msg
```
before creating the first commit.

## Bibtex

If you would like to cite the package, please use this:
```bibtex
@misc{Ravichandran2020b,
  author = {Ravichandran, J},
  title = {ProtoTorch},
  year = {2020},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/si-cim/prototorch}}
}