Image-to-image translation with conditional adversarial nets

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Interactive Image Generation via 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。

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

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

Keras implementation of Deep Convolutional Generative Adversarial Networks

[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

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

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Awesome Generative Adversarial Networks with tensorflow

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

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

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

Chainer implementation of recent GAN variants

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Generate cat images with neural networks

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

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

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

The Simplest DCGAN Implementation

Simple Implementation of many GAN models with PyTorch.

Tensorflow Implementation of AnoGAN (Anomaly GAN)

A DCGAN that generate Cat pictures 🐱‍💻

Image completion using deep convolutional generative adversarial nets in tensorflow

DCGAN implementation by TensorFlow

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.

DCGAN image generator 🖼️.