Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
#计算机科学#Awesome Generative Adversarial Networks with tensorflow
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Reimplementation of GANs
#自然语言处理#Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
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.
implementation of several GANs with pytorch
A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
Tensorflow implementation of different GANs and their comparisions
Chainer implementation of Wasserstein GAN
🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...
Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
Thesis project done on Generation Financial Time-Series with GANs. The project was a collaboration between Wholesale Banking Advanced Analytics team with ING and University Maastricht.
DCGAN and WGAN implementation on Keras for Bird Generation
