TensorFlow Generative Adversarial Networks (GANs)
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Updated
Jul 24, 2019 - Python
TensorFlow Generative Adversarial Networks (GANs)
Implementations of different Generative Adversarial Networks
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.
Implement multiple gan including vanilla_gan, dcgan, cgan, infogan and wgan with tensorflow and dataset including mnist.
PyTorch implementation of Vanilla GAN
Generative Adversarial Networks in TensorFlow 2.0
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
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