eifuentes / swae-pytorch
Implementation of the Sliced Wasserstein Autoencoder using PyTorch
☆101Updated 6 years ago
Alternatives and similar repositories for swae-pytorch:
Users that are interested in swae-pytorch are comparing it to the libraries listed below
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- ☆68Updated 5 years ago
- ☆89Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆227Updated 6 years ago
- Learning Autoencoders with Relational Regularization☆45Updated 4 years ago
- Sliced Wasserstein Generator☆37Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 6 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆40Updated 7 years ago
- Gaussian Process Prior Variational Autoencoder☆81Updated 6 years ago
- Code for Sliced Gromov-Wasserstein☆66Updated 5 years ago
- implements optimal transport algorithms in pytorch☆93Updated 2 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆203Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆100Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated last year
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 4 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- A brief tutorial on the Wasserstein auto-encoder☆84Updated 6 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 5 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 5 years ago
- Variational auto encoder in pytorch☆55Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago