Collection of generative models in Tensorflow
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Updated
Aug 8, 2022 - 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
🎨 Anime generation with GANs.
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.
Generate anime face using Auxiliary classifier Generative Adversarial Networks
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.
👩🦰 An ACGAN to generate anime faces with specific hair and eyes color
This is the repository of Deep Learning for Computer Vision at National Taiwan University.
An Auxiliary Classifier GAN (ACGAN) in pytorch to generate MNIST digits.
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