My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
-
Updated
Dec 7, 2020 - Python
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Generative Adversarial Networks in TensorFlow 2.0
PyTorch implementation of Vanilla GAN
Implement multiple gan including vanilla_gan, dcgan, cgan, infogan and wgan with tensorflow and dataset including mnist.
TensorFlow Generative Adversarial Networks (GANs)
Simulate experiments with the Vanilla GAN architecture and training algorithm in PyTorch using this package.
Pytorch implementation of Vanilla-GAN for MNIST, FashionMNIST, and USPS dataset.
Implementations of different Generative Adversarial Networks
Add a description, image, and links to the vanilla-gan topic page so that developers can more easily learn about it.
To associate your repository with the vanilla-gan topic, visit your repo's landing page and select "manage topics."