104 Open source projects that are alternatives of or similar to Dcgan Lsgan Wgan Gp Dragan Tensorflow 2

Repository for implementation of generative models with Tensorflow 1.x

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

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

Awesome Generative Adversarial Networks with tensorflow

Simple Implementation of many GAN models with PyTorch.

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

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

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

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Pure tensorflow implementation of progressive growing of GANs

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

GAN models with Anime.

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

GANs Implementations in Keras

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

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

Chainer implementation of recent GAN variants

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

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

Collection of generative models in Tensorflow

Playing with MNIST. Machine Learning. Generative Models.

Collection of generative models in Pytorch version.

Chainer implementation of Wasserstein GAN

Tensorflow implementation of different GANs and their comparisions

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

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.

GAN in Tensorflow to be run via Linux command line

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

Study Friendly Implementation of DCGAN in Tensorflow

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Improved WGAN in Pytorch

基于keras使用dcgan自动生成动漫头像

Pytorch implementation of Wasserstein GANs with Gradient Penalty

dcgan combined with vae in pytorch!

Improving MMD-GAN training with repulsive loss function

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

Implementation of Conditional Generative Adversarial Networks in PyTorch

No description or website provided.

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

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

The Simplest DCGAN Implementation

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

深度卷积生成对抗网络（DCGAN）—— 动漫妹子头像生成 2018-10-22

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)

Implementation of some basic GAN architectures in Keras

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".

Chainer implementation of Least Squares GAN (LSGAN)

Generate new images with Generative Adversarial Network and Tensorflow.

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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..