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wgan-gp

Here are 160 public repositories matching this topic...

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

  • UpdatedJul 18, 2023
  • Python

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

  • UpdatedFeb 11, 2018
  • Jupyter Notebook

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

  • UpdatedAug 7, 2022
  • Python

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

  • UpdatedMar 9, 2018
  • Python

Improved WGAN in Pytorch

  • UpdatedJul 16, 2023
  • Python

Reimplementation of GANs

  • UpdatedDec 13, 2021
  • Python

Chainer implementation of recent GAN variants

  • UpdatedMar 24, 2023
  • Python

Pytorch implementation of Wasserstein GANs with Gradient Penalty

  • UpdatedDec 4, 2020
  • Python

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

  • UpdatedAug 20, 2022
  • Python

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

  • UpdatedJan 13, 2022
  • Python

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

  • UpdatedDec 13, 2021
  • Python

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 and Deep Learning course.

  • UpdatedMar 26, 2020
  • Jupyter Notebook

implementation of several GANs with pytorch

  • UpdatedApr 28, 2022
  • Python

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

  • UpdatedAug 27, 2018
  • Python

🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...

  • UpdatedMay 10, 2020
  • Python

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