GiulsLu / Sinkhorn-BarycentersLinks
Sinkhorn Barycenters via Frank-Wolfe algorithm
☆26Updated 5 years ago
Alternatives and similar repositories for Sinkhorn-Barycenters
Users that are interested in Sinkhorn-Barycenters are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- ☆24Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- ☆30Updated 4 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆55Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 11 months ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆50Updated 4 years ago
- ☆54Updated last year
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 5 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- ☆13Updated 6 years ago
- ☆21Updated 3 years ago
- ☆16Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- Learning generative models with Sinkhorn Loss☆30Updated 6 years ago
- Python implementation of smooth optimal transport.☆59Updated 4 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆47Updated 4 years ago
- ☆36Updated 4 years ago
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- ☆41Updated 5 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago