WassersteinGAN

GAN generator

Implementing a Wasserstein GAN to generate high-quality samples with improved model stability and reproducibility of LSUN experiments.

GitHub

3k stars
104 watching
725 forks
Language: Python
last commit: almost 6 years ago

Related projects:

Repository Description Stars
soumith/ganhacks A collection of strategies and techniques to improve the stability and performance of Generative Adversarial Networks (GANs) for generating high-quality images. 11,458
tkarras/progressive_growing_of_gans A training methodology for generative adversarial networks to improve quality and stability 6,095
nvlabs/stylegan2-ada-pytorch An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance. 4,126
zalandoresearch/fashion-mnist A dataset designed to replace the MNIST dataset for benchmarking machine learning algorithms, offering a more challenging and representative set of images for computer vision tasks. 11,973
stormraiser/gan-weight-norm Improves the performance of Generative Adversarial Networks by normalizing weights and batch data 181
wiseodd/generative-models A collection of software frameworks and implementations for training generative models using GANs, VAEs, RBMs, and other techniques. 7,335
locuslab/tcn An empirical evaluation of generic convolutional and recurrent networks for sequence modeling 4,171
mit-han-lab/data-efficient-gans Improves GAN training efficiency by incorporating data augmentation 1,283
diego999/pygat An implementation of the Graph Attention Network model using PyTorch. 2,914
eriklindernoren/pytorch-gan PyTorch implementations of Generative Adversarial Networks for image synthesis 16,453
labmlai/annotated_deep_learning_paper_implementations Implementations of various deep learning algorithms and techniques with accompanying documentation 56,215
lmescheder/gan_stability An open-source project that investigates the stability of Generative Adversarial Networks (GANs) and provides experiments to evaluate their convergence. 918
lucidrains/dalle2-pytorch An implementation of DALL-E 2's text-to-image synthesis neural network in PyTorch 11,148
openai/guided-diffusion This project is a software implementation of a diffusion model architecture, allowing users to generate synthetic images based on a learned distribution. 6,269
ajbrock/biggan-pytorch An unofficial implementation of PyTorch BigGANs for generating high-fidelity natural images 2,868