https://github.com/zaccharieramzi/tf-complex

A package to easily install tensorflow utils for complex-valued tensors and neural networks
https://github.com/zaccharieramzi/tf-complex

complex-numbers tensorflow

Last synced: 7 months ago
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A package to easily install tensorflow utils for complex-valued tensors and neural networks

• Host: GitHub
• URL: https://github.com/zaccharieramzi/tf-complex
• Owner: zaccharieramzi
• License: mit
• Created: 2020-07-28T09:51:05.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-17T23:06:23.000Z (over 5 years ago)
• Last Synced: 2025-06-01T12:45:10.455Z (7 months ago)
• Topics: complex-numbers, tensorflow
• Language: Python
• Homepage:
• Size: 27.3 KB
• Stars: 5
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# tf-complex

[![Build Status](https://travis-ci.com/zaccharieramzi/tf-complex.svg?branch=master)](https://travis-ci.com/zaccharieramzi/tf-complex)

This package was inspired by the work of Elizabeth Cole et al.: [Image Reconstruction using an Unrolled DL Architecture including Complex-Valued Convolution and Activation Functions](https://arxiv.org/abs/2004.01738).

Please cite their work appropriately if you use this package.

The code for their work is available [here](https://github.com/MRSRL/complex-networks-release).

## Installation

You can install `tf-complex` using pypi:

```

pip install tf-complex

```

## Example use

You can define a complex convolution in the following way to use in one of your models:

```python

from tf_complex.convolutions import ComplexConv2D

conv = ComplexConv2D(

  16,

  3,

  padding='same',

  activation='crelu',

)

```