Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
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Updated
Aug 22, 2017 - Python
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Pytorch implementation of conditional generative adversarial network (cGAN) using DCGAN architecture for generating 32x32 images of MNIST, SVHN, FashionMNIST, and USPS datasets.
Generative Adversarial Networks in Knet
A python abstraction for conditional generative adversarial network (CGAN) training based on PyTorch.
(DCGAN)Deep Convolutional Generative Adversarial Network, Conditional-DCGAN
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