This software can be used to convert a sequence of digits to a video where the hand-written representations of those digits are twining from one to the other.
-
Updated
Apr 24, 2019 - Python
This software can be used to convert a sequence of digits to a video where the hand-written representations of those digits are twining from one to the other.
An Auxiliary Classifier GAN (ACGAN) in pytorch to generate MNIST digits.
This is the repository of Deep Learning for Computer Vision at National Taiwan University.
👩🦰 An ACGAN to generate anime faces with specific hair and eyes color
Playing with MNIST. Machine Learning. Generative Models.
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
Generate anime face using Auxiliary classifier Generative Adversarial Networks
A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
🎨 Anime generation with GANs.
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
Collection of generative models in Pytorch version.
Add a description, image, and links to the acgan topic page so that developers can more easily learn about it.
To associate your repository with the acgan topic, visit your repo's landing page and select "manage topics."