Simple Implementation of many GAN models with PyTorch.
Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
A DCGAN that generate Cat pictures 🐱💻
Dcgan wgan wgan Gp lsgan sngan rsgan began acgan pggan tensorflow
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
Tensorflow Mnist Gan Dcgan
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
DCGAN implementation by TensorFlow
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.
Deep Learning With Python
Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
A deep generative model of 3D volumetric shapes
Deep Learning sample programs using PyTorch in C++
Tf Exercise Gan
Tensorflow implementation of different GANs and their comparisions
Periodic Spatial Generative Adversarial Networks
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Image-to-image translation with conditional adversarial nets
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
Train DCGAN with TPUs on Google Cloud
PyTorch Implementation of DCGAN trained on the CelebA dataset.
Keras implementation of Deep Convolutional Generative Adversarial Networks
Porting pytorch dcgan on FloydHub
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Gans In Action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Keras Idiomatic Programmer
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Awesome Generative Adversarial Networks with tensorflow
Pytorch Project Template
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Deepnude An Image To Image Technology
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。
Interactive Image Generation via Generative Adversarial Networks
Pytorch Mnist Celeba Gan Dcgan
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"
The Simplest DCGAN Implementation
Generative models tutorial with demo
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..
Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks