Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
#计算机科学#Awesome Generative Adversarial Networks with tensorflow
#计算机科学#Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
#计算机科学#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
Simple Implementation of many GAN models with PyTorch.
#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
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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.
A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks an...
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
stock prediction with GAN and WGAN
🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...