Interactive Image Generation via Generative Adversarial Networks
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
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 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Reimplementation of GANs
Chainer implementation of recent GAN variants
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
The Simplest DCGAN Implementation
Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
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.
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Semantic Image Inpainting
Add a description, image, and links to the dcgan topic page so that developers can more easily learn about it.
To associate your repository with the dcgan topic, visit your repo's landing page and select "manage topics."