79 Open source projects that are alternatives of or similar to Tf Dcgan

The Simplest DCGAN Implementation

GAN in Tensorflow to be run via Linux command line

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

Gathers Tensorflow deep learning models.

Train DCGAN with TPUs on Google Cloud

基于keras使用dcgan自动生成动漫头像

Periodic Spatial Generative Adversarial Networks

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

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

Interactive Image Generation via Generative Adversarial Networks

Repository for implementation of generative models with Tensorflow 1.x

爬虫+脸部识别+DCGAN脸部自动生成

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

Deep Learning sample programs using PyTorch in C++

DCGAN Implementation using PyTorch in both C++ and Python

Keras implementation of Deep Convolutional Generative Adversarial Networks

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

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

GANs Implementations in Keras

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

Chainer implementation of Least Squares GAN (LSGAN)

Chainer implementation of Wasserstein GAN

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

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

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。

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

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

Chainer implementation of recent GAN variants

A deep generative model of 3D volumetric shapes

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

GAN models with Anime.

Generate cat images with neural networks

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

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

Tensorflow implementation of different GANs and their comparisions

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Porting pytorch dcgan on FloydHub

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

DCGAN face generator 🧑.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

No description or website provided.

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

Implementation of some basic GAN architectures in Keras

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

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

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

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

Awesome Generative Adversarial Networks with tensorflow

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

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

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

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.

Semantic Image Inpainting

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

Image-to-image translation with conditional adversarial nets

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