sciai-lab / BranchedOTLinks
☆13Updated 2 years ago
Alternatives and similar repositories for BranchedOT
Users that are interested in BranchedOT are comparing it to the libraries listed below
Sorting:
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago
- TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics☆120Updated 11 months ago
- CO-Optimal Transport☆42Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago
- Code for computing Hypergraph Co-Optimal Transport distances☆16Updated 2 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆14Updated 4 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 6 months ago
- Synthetic data sets apt for Topological Data Analysis☆37Updated 4 months ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 5 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago
- TARDIS: Topological Algorithms for Robust DIscovery of Singularities☆43Updated 2 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- Graphical modelling with time series data using an ODE model☆11Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- PhD Thesis☆35Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆42Updated 3 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 3 months ago
- Fast computation of diffusion maps and geometric harmonics in Python. Moved to https://git.sr.ht/~jmbr/diffusion-maps☆42Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Optimal transport and generalizations☆63Updated 6 years ago
- ☆45Updated last month
- pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…☆21Updated 4 months ago
- Fast Laplacian estimation☆17Updated last year
- ☆11Updated 2 months ago
- Ultrahyperbolic Representation Learning☆13Updated 5 years ago
- ☆38Updated 5 years ago