There are 0 repository under sagan topic.
Awesome Generative Adversarial Networks with tensorflow
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.
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
Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
Tutorial introduction slides to GANs. Code implementations and links of relevant papers.
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/)
Deep Convolution GAN and Self-Attention GAN
Repositório destinado ao Projeto 4 Food da Missão Sagan
Repositório destinado ao Projeto Rappi4 da Missão Sagan
Repositório destinado ao Projeto 4 Food da Missão Sagan
Repositório destinado ao Projeto FutureEats da Missão Sagan
Implementation of HW for IMVFX course in 2021 Fall semester at NYCU.