An Easy way to use GANs for data augmentation
Project description
GANify
Description: GANify is an algorithm based on Generative Adversarial Learning to generate synthetic non-tensor data. The name GANify is an adaptation of acronym GAN (generative adversarial network) and AmplIFY, meaning you can amplify the amount of data available with GANs .
Installation: One can easily install GANify using the PIP:
pip install ganify
How to use: Once installed, simply import the library and instatiate the model as described below:
Other info: The package also enables the creation of synthetic data using both GANs and WGANs , by simply changing the argument "type" on "fit_data" Additionally, you can view the model overall loss performance by calling the "plot_performance()" method after fit.
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