prototorch/README.md
2021-06-20 17:49:53 +02:00

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# 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) is automatically installed as development
dependency with prototorch or you can install it manually with `pip install
pre-commit`.
Please install the hooks by running:
```bash
pre-commit install
pre-commit install --hook-type commit-msg
```
before creating the first commit.
The commit will fail if the commit message does not follow the specification
provided [here](https://www.conventionalcommits.org/en/v1.0.0/#specification).
## 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}}
}