TorchGAN
TorchGAN: A Flexible Framework for GAN Training and Evaluation - Published in JOSS (2021)
https://github.com/ydataai/ydata-synthetic
Synthetic data generators for tabular and time-series data
gandetection
Detecting GAN generated Images using Convolutional Neural Networks
matlab-gan
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
https://github.com/csinva/gan-vae-pretrained-pytorch
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
https://github.com/compvis/net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
style_transfer_gan_project
To ensure a better diagnosis of patients, doctors may need to look at multiple MRI scans. What if only one type of MRI needs to be done and others can be auto-generated? Generative Adversarial Networks (GANs) have been used for generating deepfakes, new fashion styles and high-resolution pictures from the low-resolution ones