95 Open source projects that are alternatives of or similar to Gan_theories

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

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

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

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

GANs Implementations in Keras

Tensorflow implementation of different GANs and their comparisions

Simple Implementation of many GAN models with PyTorch.

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

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

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

Chainer implementation of 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

GAN models with Anime.

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

Repository for implementation of generative models with Tensorflow 1.x

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

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。

Chainer implementation of recent GAN variants

Deep Learning sample programs using PyTorch in C++

Collection of generative models in Tensorflow

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

Train DCGAN with TPUs on Google Cloud

The Simplest DCGAN Implementation

DCGAN Implementation using PyTorch in both C++ and Python

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

Periodic Spatial Generative Adversarial Networks

Keras implementation of Deep Convolutional Generative Adversarial Networks

基于keras使用dcgan自动生成动漫头像

Image-to-image translation with conditional adversarial nets

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

A deep generative model of 3D volumetric shapes

Interactive Image Generation via Generative Adversarial Networks

爬虫+脸部识别+DCGAN脸部自动生成

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

Generate cat images with neural networks

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 DCGAN trained on the CelebA dataset.

Study Friendly Implementation of DCGAN in Tensorflow

DCGAN face generator 🧑.

Porting pytorch dcgan on FloydHub

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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)

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Chainer implementation of the Wesserstein GAN

A minimal implementation of Wasserstein GAN

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

GAN in Tensorflow to be run via Linux command line

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

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

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

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