IShengFang / SpectralNormalizationKeras
Spectral Normalization for Keras Dense and Convolution Layers
☆122Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for SpectralNormalizationKeras
- Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)☆39Updated 5 years ago
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 6 years ago
- Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)☆141Updated 6 years ago
- WGAN-GP tensorflow implementation☆72Updated last year
- Simple Tensorflow implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)☆262Updated 5 years ago
- CPU/GPU/TPU implementation of the Fréchet Inception Distance☆79Updated 4 years ago
- Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)☆551Updated 5 years ago
- 🌈 Spectral Normalization implemented as Tensorflow 2☆35Updated 5 years ago
- Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN,…☆226Updated 2 years ago
- Reimplementation of GANs☆420Updated 2 years ago
- CPU/GPU/TPU implementation of the Inception Score☆80Updated 4 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆186Updated 6 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆128Updated 6 years ago
- MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)☆152Updated 4 years ago
- The implementation of Relativistic average GAN with Keras☆39Updated 3 years ago
- This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.☆170Updated 2 months ago
- Deep generative networks, coded with Keras.☆122Updated 7 years ago
- Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".☆127Updated last year
- Conditional Wasserstein GANs☆71Updated 6 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆121Updated 6 years ago
- Wasserstein GAN TensorFlow Implementation☆44Updated 5 years ago
- Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras☆140Updated 7 years ago
- pyTorch implementation of Spectral Normalization for Generative Adversarial Networks☆246Updated 2 years ago
- A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.☆115Updated 6 years ago
- Simply implement the paper: cGANs with Projection Discriminator by TensorFlow☆40Updated 5 years ago
- Variational auto-encoder trained on celebA . All rights reserved.☆183Updated 6 years ago
- Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"☆94Updated 6 years ago
- Keras implementation of the conditional GAN.☆57Updated 7 years ago
- StyleGAN made with Keras☆168Updated 5 years ago
- Unsupervised Attention-Guided Image to Image Translation☆331Updated 5 years ago