There are 8 repositories under dcgan topic.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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。
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Keras implementation of Deep Convolutional Generative Adversarial Networks
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
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
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
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
Chainer implementation of recent GAN variants
Simple Implementation of many GAN models with PyTorch.
Generate cat images with neural networks
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
The Simplest DCGAN Implementation
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 sample programs using PyTorch in C++
PyTorch implementation of DCGAN, WGAN-GP and SNGAN.
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
DCGAN image generator 🖼️.
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
A DCGAN that generate Cat pictures 🐱💻
DCGAN face generator 🧑.
DCGAN LSGAN WGAN-GP DRAGAN 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 completion using deep convolutional generative adversarial nets in tensorflow
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.