110 Open source projects that are alternatives of or similar to Pytorch-Basic-GANs

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

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

Collection of generative models in Pytorch version.

Simple Implementation of many GAN models with PyTorch.

GANs Implementations in Keras

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

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

Collection of generative models in Tensorflow

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

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

Tensorflow implementation of different GANs and their comparisions

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

Chainer implementation of recent GAN variants

Playing with MNIST. Machine Learning. Generative Models.

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

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

Chainer implementation of Wasserstein GAN

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.

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

Pure tensorflow implementation of progressive growing of GANs

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

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

Implementation of Conditional Generative Adversarial Networks in PyTorch

GAN models with Anime.

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

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

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

Keras implementation of Deep Convolutional Generative Adversarial Networks

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

Porting pytorch dcgan on FloydHub

Image completion using deep convolutional generative adversarial nets in tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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

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

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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

A deep generative model of 3D volumetric shapes

Deep Learning sample programs using PyTorch in C++

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

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

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。

Periodic Spatial Generative Adversarial Networks

Interactive Image Generation via Generative Adversarial Networks

A DCGAN that generate Cat pictures 🐱‍💻

DCGAN implementation by TensorFlow

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

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

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.

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..

DCGAN Implementation using PyTorch in both C++ and Python

Image-to-image translation with conditional adversarial nets

Study Friendly Implementation of DCGAN in Tensorflow

基于keras使用dcgan自动生成动漫头像