eifuentes / swae-pytorchLinks
Implementation of the Sliced Wasserstein Autoencoder using PyTorch
☆103Updated 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
Sorting:
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- ☆91Updated 6 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- implements optimal transport algorithms in pytorch☆100Updated 3 years ago
- ☆68Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆154Updated 6 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆230Updated 7 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- ☆237Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆85Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Learning generative models with Sinkhorn Loss☆30Updated 6 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- ☆123Updated 2 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆110Updated 7 years ago
- Disentanglement library for PyTorch☆281Updated 3 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆205Updated 7 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆58Updated 3 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago
- Sliced Wasserstein Generator☆39Updated 7 years ago
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago