torchcvnn provides complex valued layers to be used with pytorch
Project description
Complex-Valued Neural Networks (CVNN) - Pytorch
This is a library that uses pytorch 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.
Other projects
You might also be interested in some other projects:
Tensorflow based :
- cvnn developed by colleagues from CentraleSupélec
Pytorch based :
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
torchcvnn-0.3.2.tar.gz
(16.8 kB
view hashes)
Built Distribution
torchcvnn-0.3.2-py3-none-any.whl
(24.9 kB
view hashes)
Close
Hashes for torchcvnn-0.3.2-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 40636129ab060124a45003ad1dfd5b227bb18cfc872bc97a716ef83da1eea51f |
|
| MD5 | 335990c380db51959063517c21445b68 |
|
| BLAKE2b-256 | 22c9dc05f5aeb57fd2fdca628d0eeaf364ab49d4322236507a31f952f12cff47 |
