# Complex-Valued Neural Networks (CVNN) - Pytorch
[![docs](https://github.com/jeremyfix/torchcvnn/actions/workflows/doc.yml/badge.svg)](https://jeremyfix.github.io/torchcvnn/) ![pytest](https://github.com/jeremyfix/torchcvnn/actions/workflows/test.yml/badge.svg) [![PyPI version](https://badge.fury.io/py/torchcvnn.svg)](https://badge.fury.io/py/torchcvnn)
This is a library that uses [pytorch](https://pytorch.org) as a back-end for complex valued neural networks.
It was initially developed by Victor Dhédin and Jérémie Levi during their third year project at CentraleSupélec.
## Installation
To install the library, it is simple as :
```
python -m pip install torchcvnn
```
## Installation for developping
To install when developping the library, within a virtual envrionment, you can :
```
git clone git@github.com:jeremyfix/torchcvnn.git
python3 -m venv torchcvnn-venv
source torchcvnn-venv/bin/activate
python -m pip install -e torchcvnn
```
This will install torchcvnn in developper mode.
## Releasing a new version
To trigger the pipeline for a new release, you have to tag a commit and to push
it on the main branch
```
[main] git tag x.x.x
[main] git push --tags
```
This will trigger the `ci-cd.yml` pipeline which builds the distribution,
release it on github and on pypi.
Any commit that is not explicitely tagged with a version number does not trigger
the release ci-cd pipeline.
## Other projects
You might also be interested in some other projects:
Tensorflow based :
- [cvnn](https://github.com/NEGU93/cvnn) developed by colleagues from CentraleSupélec
Pytorch based :
- [cplxmodule](https://github.com/ivannz/cplxmodule)
- [complexPyTorch](https://github.com/wavefrontshaping/complexPyTorch)
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