459 Open source projects that are alternatives of or similar to GANs-Keras

Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

Repository for implementation of generative models with Tensorflow 1.x

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

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

Chainer implementation of Wasserstein GAN

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

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

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

Awesome Generative Adversarial Networks with tensorflow

Tensorflow implementation of different GANs and their comparisions

Simple Implementation of many GAN models with PyTorch.

Chainer implementation of the Wesserstein GAN

InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.

Face generator from sketches using cGAN (pix2pix) model

Study Friendly Implementation of DCGAN in Tensorflow

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

DCGAN Implementation using PyTorch in both C++ and Python

Generate cat images with neural networks

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

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

Implementation of Conditional Generative Adversarial Networks in PyTorch

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

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

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

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

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Spectral Normalization and Projection Discriminator

GAN in Tensorflow to be run via Linux command line

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

基于keras使用dcgan自动生成动漫头像

The Simplest DCGAN Implementation

Interactive Image Generation via Generative Adversarial Networks

Playing with MNIST. Machine Learning. Generative Models.

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

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

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

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

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

🔥 PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. 🔥 图像翻译，条件GAN，AI绘画

Image-to-image translation with conditional adversarial nets

爬虫+脸部识别+DCGAN脸部自动生成

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

Train DCGAN with TPUs on Google Cloud

PyTorch Implementation of DCGAN trained on the CelebA dataset.

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

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

Periodic Spatial Generative Adversarial Networks

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

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

DCGAN face generator 🧑.

DCGAN image generator 🖼️.

GAN models with Anime.

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.

Keras implementation of Deep Convolutional Generative Adversarial Networks

Semantic Image Inpainting

A DCGAN that generate Cat pictures 🐱‍💻

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)