96 Open source projects that are alternatives of or similar to Dcgan Lsgan Wgan Gp Dragan Pytorch

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

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

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

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

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

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

Simple Implementation of many GAN models with PyTorch.

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

Awesome Generative Adversarial Networks with tensorflow

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

Chainer implementation of recent GAN variants

Collection of generative models in Tensorflow

PyTorch Implementation of DCGAN trained on the CelebA dataset.

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

Improved WGAN in Pytorch

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

Porting pytorch dcgan on FloydHub

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..

Study Friendly Implementation of DCGAN in Tensorflow

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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".

Periodic Spatial Generative Adversarial Networks

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

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

GAN in Tensorflow to be run via Linux command line

Train DCGAN with TPUs on Google Cloud

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Chainer implementation of Wasserstein GAN

Generate cat images with neural networks

Keras implementation of Deep Convolutional Generative Adversarial Networks

The Simplest DCGAN Implementation

Tensorflow implementation of different GANs and their comparisions

DCGAN Implementation using PyTorch in both C++ and Python

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

基于keras使用dcgan自动生成动漫头像

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

A deep generative model of 3D volumetric shapes

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

GANs Implementations in Keras

Image-to-image translation with conditional adversarial nets

Pytorch implementation of Wasserstein GANs with Gradient Penalty

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

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

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

No description or website provided.

Machine learning, in numpy

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

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

Implementation of some basic GAN architectures in Keras

Chainer implementation of Least Squares GAN (LSGAN)

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

GitHub repo for my Tensorflow World hackathon submission

爬虫+脸部识别+DCGAN脸部自动生成

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.