kremerj / gan
A 1D toy example of optimizing a generative model using the WGAN-GP model.
☆23Updated 7 years ago
Alternatives and similar repositories for gan:
Users that are interested in gan are comparing it to the libraries listed below
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆71Updated 5 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint☆119Updated 5 years ago
- Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…☆78Updated 5 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"☆94Updated 7 years ago
- A PyTorch implementation of the VQ-VAE-2 paper☆75Updated 5 years ago
- Generative Adversarial Network with Weight Normalization + ResNet☆22Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- Tensorflow code of Dist-GAN, GN-GAN and other GAN methods☆66Updated 6 years ago
- [AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks☆24Updated 4 years ago
- ☆21Updated 5 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- ☆122Updated 5 years ago
- Official implementation of "On GANs and GMMs"☆66Updated 5 years ago
- TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.☆44Updated 5 years ago
- Training MMD GANs.☆86Updated 6 years ago
- Dual Discriminator Generative Adversarial Nets☆63Updated 7 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"☆44Updated 6 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".☆36Updated 5 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago