Collection of generative models in Tensorflow
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Updated
Jul 21, 2018 - Python
Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
Playing with MNIST. Machine Learning. Generative Models.
Generate anime face using Auxiliary classifier Generative Adversarial Networks
An ACGAN to generate anime faces with specific hair and eyes color
A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.
An Auxiliary Classifier GAN (ACGAN) in pytorch to generate MNIST digits.
Research for text-to-image synthesis via modified auxiliary classifier GANs. Incremental modification of model architecture for improved results, fully documented.
Generative Adversarial Network Implementations in Keras
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