2.4 KiB
ProtoTorch: Prototype Learning in PyTorch
Tensorflow users, see: 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.
pip install -U prototorch
To also install the extras, use
pip install -U prototorch[all]
Note: If you're using ZSH, 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:
git clone https://github.com/si-cim/prototorch.git
git checkout dev
cd prototorch
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/.
Bibtex
If you would like to cite the package, please use this:
@misc{Ravichandran2020b,
author = {Ravichandran, J},
title = {ProtoTorch},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/si-cim/prototorch}}
}