torchcvnn 0.10.0

torchcvnn provides complex valued layers to be used with pytorch

Complex-Valued Neural Networks (CVNN) - Pytorch

Documentation https://torchcvnn.github.io/torchcvnn/

Examples https://www.github.com/torchcvnn/examples

This is a library that uses pytorch as a back-end for complex valued neural networks. It provides :

• complex valued datasets from remote sensing and MRI,
• complex valued transforms,
• complex valued layers, some of them requiring specific implementations because their computation is specific with complex valued activations, others are implemented merely because the lower level implementation raise an exception if processing complex valued activations even though the computations are the same than for real valued activations
• 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

or, using uv :

uv pip install torchcvnn

Other projects

You might also be interested in some other projects:

Tensorflow based :

• cvnn developed by colleagues from CentraleSupélec

Pytorch based :

• cplxmodule
• complexPyTorch
• complextorch