Deep Learning Super Sampling with Deep Convolutional Generative Adversar...
GAN and VAE implementations to generate artificial EEG data to improve m...
Implementation of Conditional Generative Adversarial Networks in PyTorch
Simple Pytorch implementations of most used Generative Adversarial Netwo...
Unsupervised Anomaly Detection with Generative Adversarial Networks on M...
PyTorch Implementation of DCGAN trained on the CelebA dataset.
Chainer implementation of Wasserstein GAN
🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, ...
Improving MMD-GAN training with repulsive loss function
通过DCGAN生成动漫人物头像
Adversarial Generation of Extreme Samples
Repository for implementation of generative models with Tensorflow 1.x
A Tensorflow implementation of Deep Convolutional Generative Adversarial...
🎨 Anime generation with GANs.
A GAN framework