538 Open source projects that are alternatives of or similar to Wasserstein Gan

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

Simple Implementation of many GAN models with PyTorch.

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

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

Tensorflow implementation of different GANs and their comparisions

GANs Implementations in Keras

Chainer implementation of the Wesserstein GAN

Awesome Generative Adversarial Networks with tensorflow

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

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

Periodic Spatial Generative Adversarial Networks

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

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

Image-to-image translation with conditional adversarial nets

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

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

DCGAN image generator 🖼️.

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

GAN in Tensorflow to be run via Linux command line

The Simplest DCGAN Implementation

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

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

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.

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

Interactive Image Generation via Generative Adversarial Networks

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

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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

DCGAN face generator 🧑.

Semantic Image Inpainting

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Collection of generative models in Pytorch version.

A DCGAN that generate Cat pictures 🐱‍💻

Repository for implementation of generative models with Tensorflow 1.x

GAN models with Anime.

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

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

Keras implementation of Deep Convolutional Generative Adversarial Networks

DCGAN Implementation using PyTorch in both C++ and Python

Study Friendly Implementation of DCGAN in Tensorflow

Generate cat images with neural networks

基于keras使用dcgan自动生成动漫头像

Collection of generative models in Tensorflow

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

爬虫+脸部识别+DCGAN脸部自动生成

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Train DCGAN with TPUs on Google Cloud

PyTorch Implementation of DCGAN trained on the CelebA dataset.

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

Visualization of GAN training process

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

A Keras implementation of image deblurring based on ICCV 2017 paper "Deep Generative Filter for motion deblurring"

Compute FID scores with PyTorch.

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation