GitHub - eriklindernoren PyTorch-GAN: PyTorch implementations of . . . Softmax GAN is a novel variant of Generative Adversarial Network (GAN) The key idea of Softmax GAN is to replace the classification loss in the original GAN with a softmax cross-entropy loss in the sample space of one single batch
gan · GitHub Topics · GitHub GitHub is where people build software More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects
generative-adversarial-network · GitHub Topics · GitHub Generative adversarial networks (GAN) are a class of generative machine learning frameworks A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network
GitHub - dorarad gansformer: Generative Adversarial Transformers Vanilla GAN: --baseline GAN, a standard GAN without style modulation StyleGAN2: --baseline StyleGAN2, with one global latent that modulates the image features k-GAN: --baseline kGAN, which generates multiple image layers independetly and then merge them into one shared image (supported only in the TF version)
GAN 和 VAE 的本质区别是什么？为什么两者总是同时被提起？ 最后说一下比较有意思的事： VAE、GAN、Flow (NICE)三种模型都是2013-2014年提出来的（VAE是13年放到arXiv上的，后来中了NIPS；GAN也同时中了NIPS，而NICE最早是14年的一个ICLR workshop）。 最后的发展情况是：GAN最火，VAE次之，Flow模型似乎总是要火不火。
GitHub - tensorflow gan: Tooling for GANs in TensorFlow TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs) Can be installed with pip using pip install tensorflow-gan, and used with import tensorflow_gan as tfgan Well-tested examples Interactive introduction to TF-GAN in