PythonOT / COOT
CO-Optimal Transport
☆42Updated 4 years ago
Alternatives and similar repositories for COOT:
Users that are interested in COOT are comparing it to the libraries listed below
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 4 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 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
- Code for Sliced Gromov-Wasserstein☆67Updated 5 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Robust Optimal Transport code☆42Updated 2 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆36Updated 4 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆39Updated 2 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆28Updated 2 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 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 5 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆24Updated 5 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Official implementation of Joint Multidimensional Scaling☆22Updated last year
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆16Updated 3 years ago
- ☆17Updated 2 years ago
- Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.☆31Updated last week
- Code for Optimal Transport for structured data with application on graphs☆98Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆59Updated 3 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆47Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Code for computing Hypergraph Co-Optimal Transport distances☆16Updated 2 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆115Updated 4 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆14Updated 3 years ago
- [NeurIPS 2020]. COPT - Coordinated Optimal Transport on Graphs☆16Updated 4 years ago