btaba / sinkhorn_knopp
python implementation of Sinkhorn-Knopp
☆33Updated 7 years ago
Alternatives and similar repositories for sinkhorn_knopp:
Users that are interested in sinkhorn_knopp are comparing it to the libraries listed below
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆25Updated 5 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- ☆53Updated 9 months ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 4 years ago
- ☆36Updated 3 years ago
- A Python implementation of Monge optimal transportation☆49Updated last year
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- ☆30Updated 4 years ago
- implements optimal transport algorithms in pytorch☆96Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆59Updated 3 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Updated 3 years ago
- #UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning☆12Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- ☆58Updated 2 years ago
- ☆21Updated 2 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆68Updated last year