maitek / waae-pytorch
Wasserstein Adversarial Autoencoder Pytorch
☆27Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for waae-pytorch
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 5 years ago
- ☆89Updated 5 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 6 years ago
- dcgan combined with vae in pytorch!☆117Updated 6 years ago
- Adversarially Learned Inference in Pytorch☆30Updated 7 years ago
- ☆198Updated 7 years ago
- GANs with multiple Discriminators☆78Updated last year
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆39Updated 7 years ago
- Implementation of autoencoders in PyTorch☆57Updated 6 years ago
- Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675☆23Updated 7 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- ☆121Updated 4 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 5 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆39Updated 6 years ago
- ☆48Updated 6 years ago
- MMD and Relative MMD test☆30Updated 8 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- A machine learning library for PyTorch☆92Updated 2 years ago
- Pytorch implementation of Wasserstein Auto-Encoders☆25Updated 6 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆79Updated 7 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated last year
- A PyTorch Implementation of the Importance Weighted Autoencoders☆38Updated 5 years ago