96 Open source projects that are alternatives of or similar to Pytorch Gan Collections

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

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

Repository for implementation of generative models with Tensorflow 1.x

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

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

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

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

Simple Implementation of many GAN models with 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

Awesome Generative Adversarial Networks with tensorflow

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

Chainer implementation of recent GAN variants

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

Keras implementation of Deep Convolutional Generative Adversarial Networks

Generate cat images with neural networks

The Simplest DCGAN Implementation

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

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DCGAN Implementation using PyTorch in both C++ and Python

基于keras使用dcgan自动生成动漫头像

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

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

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

Machine learning, in numpy

Image-to-image translation with conditional adversarial nets

GAN in Tensorflow to be run via Linux command line

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

PyTorch Implementation of DCGAN trained on the CelebA dataset.

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

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

Improved WGAN in Pytorch

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..

Periodic Spatial Generative Adversarial Networks

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 Paper "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".

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

Deep Learning sample programs using PyTorch in C++

Pytorch implementation of Wasserstein GANs with Gradient Penalty

GANs Implementations in Keras

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

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

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

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

No description or website provided.

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

爬虫+脸部识别+DCGAN脸部自动生成

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.

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。

GitHub repo for my Tensorflow World hackathon submission

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

GAN models with Anime.

Interactive Image Generation via Generative Adversarial Networks

Gathers Tensorflow deep learning models.

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