kongyanye / cwgan-gp
A keras implementation of conditional wgan-gp
☆43Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for cwgan-gp
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 6 years ago
- Conditional Wasserstein GANs☆71Updated 6 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
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆148Updated 7 years ago
- CGAN ProjectionCGAN ACGAN InfoGAN Pytorch☆65Updated 5 years ago
- Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)☆39Updated 5 years ago
- This is an implementation of Convolutional AutoEncoder using only TensorFlow☆118Updated 5 years ago
- 用GAN生成一维数据☆121Updated 4 years ago
- Implementation of the stacked denoising autoencoder in Tensorflow☆202Updated 6 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 5 years ago
- Semi-supervised Learning GAN☆80Updated 7 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆29Updated 6 years ago
- Self Attention GAN (https://arxiv.org/abs/1805.08318) implemented with keras☆21Updated 5 years ago
- Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)☆219Updated 5 years ago
- Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Ne…☆492Updated 7 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆133Updated 5 years ago
- Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.☆108Updated 3 years ago
- WGAN-GP tensorflow implementation☆72Updated last year
- Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 dataset…☆204Updated last year
- conditional variational autoencoder written in Keras [not actively maintained]☆96Updated 7 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆186Updated 6 years ago
- This is a tutorial on creating a deep convolutional autoencoder with tensorflow.☆57Updated 7 years ago
- The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.☆34Updated 5 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆144Updated 5 years ago
- Spectral Normalization for Keras Dense and Convolution Layers☆122Updated 4 years ago
- A wizard's guide to Adversarial Autoencoders☆430Updated 3 years ago
- Implementation of Conditional Generative Adversarial Networks in PyTorch☆106Updated 6 years ago
- Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)☆551Updated 5 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆60Updated 7 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