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GANs

Implementation of various Generative Adversarial Networks (GANs) and related utility functions.

Easiest way to use different GANs models with tensorflow. If you have paired/unpaired data prepared accordingly then using the GANs with this package makes it very easy to train a generrative model. Follow the examples ipython notebooks for example test cases.

Installation

Basic Installation (No Deep Learning Framework)

pip install tfgans

Install tensorflow [cup or gpu] on your own. Tested version tensorflow 2.17.0 with python 3.10 on Ubuntu 24.04 LTS

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Implementation of various Generative Adversarial Networks and related utility functions.

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