dcgan

Image-to-image translation with conditional adversarial nets

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

Interactive Image Generation via Generative Adversarial Networks

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Keras implementation of Deep Convolutional Generative Adversarial Networks

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Awesome Generative Adversarial Networks with tensorflow

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Reimplementation of GANs

Chainer implementation of recent GAN variants

Simple Implementation of many GAN models with PyTorch.

Generate cat images with neural networks