Code for Sliced Gromov-Wasserstein
☆69Dec 2, 2019Updated 6 years ago
Alternatives and similar repositories for SGW
Users that are interested in SGW are comparing it to the libraries listed below
Sorting:
- CO-Optimal Transport☆42Nov 6, 2020Updated 5 years ago
- Distributional Sliced-Wasserstein distance code☆50Jul 22, 2024Updated last year
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆73Aug 20, 2019Updated 6 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆75Aug 21, 2016Updated 9 years ago
- Code for Optimal Transport for structured data with application on graphs☆104Dec 17, 2022Updated 3 years ago
- GENOT: Generative Neural Optimal Transport☆15Dec 18, 2024Updated last year
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆44Sep 15, 2019Updated 6 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Jun 14, 2019Updated 6 years ago
- ☆18Sep 18, 2024Updated last year
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆78Jan 25, 2024Updated 2 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Dec 8, 2022Updated 3 years ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆17Jun 27, 2021Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆28Mar 11, 2020Updated 5 years ago
- Learning Autoencoders with Relational Regularization☆46Oct 8, 2020Updated 5 years ago
- ☆18Jun 26, 2023Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Sep 24, 2018Updated 7 years ago
- Implementation of EBGAN in pytorch☆17Apr 3, 2017Updated 8 years ago
- Forecasting library in python☆13Sep 6, 2019Updated 6 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated last year
- Gromov-Wasserstein Alignment of Embeddings☆68Sep 23, 2021Updated 4 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆23Nov 18, 2019Updated 6 years ago
- Cross-Domain Imitation Learning via Optimal Transport☆25Jun 24, 2022Updated 3 years ago
- ☆24Sep 10, 2021Updated 4 years ago
- Pushing the limits of capsule networks.☆12Dec 7, 2022Updated 3 years ago
- Functions for distance matrix objects in R.☆14Feb 23, 2026Updated last week
- Data Science Research Project: Map poverty using satellite images.☆11Aug 14, 2020Updated 5 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Dec 1, 2023Updated 2 years ago
- POT : Python Optimal Transport☆2,757Feb 24, 2026Updated last week
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆31Dec 21, 2022Updated 3 years ago
- ☆43Feb 21, 2020Updated 6 years ago
- Geometric loss functions between point clouds, images and volumes☆684Apr 14, 2025Updated 10 months ago
- ☆13Jul 25, 2023Updated 2 years ago
- ☆13Jul 17, 2023Updated 2 years ago
- Python functions to compute multiparameter persistence landscapes from a RIVET file☆14Jul 13, 2024Updated last year
- A style-transfer project using CycleGAN to render photos in the style of Studio Ghibli animations.☆11Feb 20, 2019Updated 7 years ago
- Almost Surely Stable Deep Dynamics [NeurIPS 2020]☆13Dec 8, 2022Updated 3 years ago
- Official implementation of NeurIPS'24 Spotlight paper "Monte Carlo Tree Search based Space Transfer for Black-box Optimization".☆12Nov 28, 2024Updated last year