spectral-normalization
There are 31 repositories under spectral-normalization topic.
IShengFang/SpectralNormalizationKeras
Spectral Normalization for Keras Dense and Convolution Layers
deel-ai/deel-lip
Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
GongXinyuu/sngan.pytorch
An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.
fjxmlzn/BSN
[NeurIPS 2021] Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
thisisiron/spectral_normalization-tf2
🌈 Spectral Normalization implemented as Tensorflow 2
MingtaoGuo/BigGAN-tensorflow
Reimplementation of the Paper: Large Scale GAN Training for High Fidelity Natural Image Synthesis
nnUyi/SNGAN
A implement of spectral normalization GAN for tensorflow version
ApurbaSengupta/Super-Resolution-Images
Generating super-resolution images using GANs
karoly-hars/GAN_image_colorizing
Image colorization with generative adversarial networks on the CIFAR10 dataset.
AntixK/mean-spectral-norm
Code for the paper "Mean Spectral Normalization"
lenka98/Bind-Deblurring-using-GANs
Blind Deblurring using improvements on different GAN models
LynnHo/GAN-Techniques-Tensorflow
GANs: Losses, Regularizations and Normalizations
hanyoseob/pytorch-SNGAN
Spectral Normalization for Generative Adversarial Networks
vineeths96/Generative-Adversarial-Networks-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.
jason71995/tf2_gan_library
Implementation of GAN papers on Keras and Tensorflow 2.0
tqch/SNGAN-AnimeFace
Unofficial PyTorch Implementation of Spectral Normalization for Generative Adversarial Networks (SNGAN) with specialization in Anime faces generation
mohith-sakthivel/infogan-pytorch
Implementation of InfoGAN using PyTorch lightning
frgfm/PokeGAN
Implementations of GANs in PyTorch for Pokemon image generation
rharish101/mnist-gan
A template repository for GANs
EliaFantini/WGAN-learns-the-distributon-of-a-MoG
A Wasserstein Generative Adversarial Network that learns the distribution of a Mixture of Gaussian, using weight clipping or spectral normalization
Escapist-007/GAN
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/)
IAMIQBAL/Spectrally-Normalized-GAN-Flowers102
Spectrally Normalized GAN trained on Flowers102 dataset
yelgharably/MCMC_Cloudy_Models
Running Monte Carlo - Markov Chain algorithm on synthesized spectral models made by CLOUDY to compare them with data from CECILIA survey
Yuumna/GAN-PyTorch
Incremental implementation of GAN and DCGAN using PyTorch for MNIST dataset
omarragi9/Deep-Learning-Challenge
Solving a deep learning challenge using different types of GAN
qbarthelemy/PySpectrum
Python package for spectral analyses, looking at sampling rate conversion, spectral rescaling and peak detection.
ywchan2005/sigma-reparam-pytorch
An unofficial implementation of sigma reparam [Zhai et al. 2023]
amshrbo/gradually-building-gans
Gradually building generative adversarial networks
RayXie29/Simpsons_BigGAN
The BigGAN implementation on Simpsons dataset with tensorflow framework.