rythei / PyTorchOTLinks
implements optimal transport algorithms in pytorch
☆97Updated 3 years ago
Alternatives and similar repositories for PyTorchOT
Users that are interested in PyTorchOT are comparing it to the libraries listed below
Sorting:
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆117Updated 4 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- ☆63Updated 4 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 4 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- ☆16Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Sliced Wasserstein Generator☆38Updated 7 years ago
- Python implementation of smooth optimal transport.☆58Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- ☆24Updated 3 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- ☆68Updated 6 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients☆58Updated 5 years ago
- ☆30Updated 4 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆48Updated 4 years ago
- Masked Convolutional Flow☆59Updated 5 years ago
- ☆12Updated 4 years ago
- ☆26Updated 6 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆62Updated 4 years ago