Popular GitHub Repositories for Cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/adom.202100548

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

Conditional Deep Convolutional GAN

Pytorch implementation of DCGAN, CDCGAN, LSGAN, WGAN and WGAN-GP for CelebA dataset.

Using a GAN to synthetically generate medical images for DL purposes

We use Conditional-DCGAN to generate animated faces :couple: and emojis :smiley: using pytorch

A small overview of what GANs and their main variants are, with related implementations.

cDCGAN model for audio-to-image generation: a cross-modal analysis using deep-learning techniques

General Adversial Networks using Few shot learning