467 Open source projects that are alternatives of or similar to GAN-Anime-Characters

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

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

Repository for implementation of generative models with Tensorflow 1.x

Awesome Generative Adversarial Networks with tensorflow

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

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

GANs Implementations in Keras

Chainer implementation of Wasserstein GAN

Tensorflow implementation of different GANs and their comparisions

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

The Simplest DCGAN Implementation

Chainer implementation of recent GAN variants

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

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

GAN models with Anime.

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

GAN in Tensorflow to be run via Linux command line

Unofficial implementation of StyleGAN's generator

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in 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.

Image-to-image translation with conditional adversarial nets

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

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

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

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

DCGAN image generator 🖼️.

Collection of generative models in Pytorch version.

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

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

Implementation of Conditional Generative Adversarial Networks in PyTorch

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

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

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Simple Implementation of many GAN models with PyTorch.

[CVPR2020] Adversarial Latent Autoencoders

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..

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

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

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

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

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

Improving MMD-GAN training with repulsive loss function

Semantic Image Inpainting

Interactive Image Generation via Generative Adversarial Networks

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Pure tensorflow implementation of progressive growing of GANs

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

🤖A list of resources to help anyone getting started with GANs 🤖

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)