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pytorch_examples

gan_plain

GAN model according to Generative Adversarial Nets

loss curve for GAN

result of GAN

mnist classification

classification model according the example of pytorch

vae model

VAE model according to Auto-encoding variational bayes

dcgan

DCGAN model according to unsupervised representation learning with deep convolutional generative adversarial

loss curve for DCGAN

Note: maybe something wrong about the loss curve

result of DCGAN

improved dcgan

improved DCGAN model accdording to improved Techniques for Training GANs

loss curve for Improved DCGAN

result

WGAN

WGAN model according Wasserstein GAN

loss curve of WGAN

result of WGAN

WGAN-GP

WGAN-GP model according to Improved Training of Wasserstein GAN

loss curve

result

LSGAN

LSGAN model according to least square generative adversarial net

loss curve

result

BEGAN

BEGAN model according to BEGAN:Boundary Equilibrium Generative Adversarial Networks model collapse(20180822)

InfoGAN

InfoGAN model according to Infogan: Interpretable representation learning by information maximizing generative adversarial nets

loss curve for InfoGAN

reslult