HeddaCohenIndelman / Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch
LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH
☆79Updated last year
Alternatives and similar repositories for Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch:
Users that are interested in Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch are comparing it to the libraries listed below
- A Pytorch implementation of the optimal transport kernel embedding☆116Updated 4 years ago
- implements optimal transport algorithms in pytorch☆96Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers☆88Updated 4 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆55Updated last year
- Code for "SoftSort: A Continuous Relaxation for the argsort Operator", ICML 2020.☆50Updated 2 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆48Updated 3 years ago
- ☆122Updated 2 years ago
- ☆70Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Code for Sliced Gromov-Wasserstein☆67Updated 5 years ago
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆55Updated 6 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆62Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- ☆75Updated 7 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated 2 years ago
- ☆44Updated 4 years ago
- Group Equivariant Convolutional Neural Networks☆100Updated 7 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆142Updated 2 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- ☆30Updated 4 years ago