Awesome Generative Adversarial Networks with tensorflow

A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)

SaGAN PyTorch "Generative Adversarial Network with Spatial Attention for Face Attribute Editing"

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

An application of Self-Attention GANs and DCGAN on mnist dataset.

人脸和动漫脸的互转

A collection of deep learning models (PyTorch implemtation)

python package for self-attention gan implemented as extension of PyTorch nn.Module. paper -> https://arxiv.org/abs/1805.08318

Pytorch implementations of GANs

Tutorial introduction slides to GANs. Code implementations and links of relevant papers.

Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).

Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.

This is the official implementation of SAGAN from BMVC21

Facies modeling using GANs

In this repository, we deal with the task of implementing Generative Adversarial Networks (GANs) using the CIFAR-10 dataset. Two popular GANs: DCGAN and SAGAN are implemented. The performance of the network is evaluated using the FID score.

VintageColorize is a web application that utilizes the power of the DeOldify library to add color to old black and white photos. The application leverages deep learning techniques, including Self-Attention GAN and the NoGAN architecture, to produce impressive colorized results.

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN) of non-cuda user s and its also used by cuda user.

SAGAN implementation in pytorch for image colorization task.

This 'Generative Adversarial Network' project was implemented in grad course CSE-676 : Deep Learning [Fall 2019 @UB_SUNY] Course Instructor : Sargur N. Srihari(https://cedar.buffalo.edu/~srihari/)