Geometric loss functions between point clouds, images and volumes
☆695May 12, 2026Updated 2 weeks ago
Alternatives and similar repositories for geomloss
Users that are interested in geomloss are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆59Apr 15, 2019Updated 7 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,171Updated this week
- POT : Python Optimal Transport☆2,797Mar 11, 2026Updated 2 months ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆449May 14, 2018Updated 8 years ago
- Approximating Wasserstein distances with PyTorch☆456Apr 15, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- MICCAI 2017 Paper - Optimal Transport for Diffeomorphic Registration☆56Apr 15, 2019Updated 7 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆738May 22, 2026Updated last week
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆32Dec 21, 2022Updated 3 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Sep 29, 2021Updated 4 years ago
- ☆214Jan 31, 2022Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆47Mar 13, 2023Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆70Dec 2, 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
- shape registration☆120May 30, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Manifold-learning flows (ℳ-flows)☆234Nov 13, 2020Updated 5 years ago
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆864Aug 7, 2024Updated last year
- ☆17Oct 22, 2020Updated 5 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆50Apr 19, 2025Updated last year
- ☆47May 17, 2022Updated 4 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,882May 1, 2026Updated 3 weeks ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 3 years ago
- Computations and statistics on manifolds with geometric structures.☆1,489May 14, 2026Updated 2 weeks ago
- Keras implementation of Deep Wasserstein Embeddings☆48Apr 15, 2018Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Constrained optimization toolkit for PyTorch☆709Jul 29, 2025Updated 10 months ago
- Totally Versatile Miscellanea for Pytorch☆477Mar 20, 2022Updated 4 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Apr 26, 2023Updated 3 years ago
- ☆174Oct 8, 2022Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆92Jun 6, 2018Updated 7 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,570May 2, 2024Updated 2 years ago
- A collection of adaptive sparse multi-scale solvers for optimal transport and related optimization problems.☆55Sep 23, 2021Updated 4 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- Differentiable convex optimization layers☆2,095May 19, 2026Updated last week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Mar 3, 2020Updated 6 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,432Apr 4, 2025Updated last year
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Apr 13, 2024Updated 2 years ago
- ☆10Jun 22, 2022Updated 3 years ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Aug 21, 2025Updated 9 months ago
- FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks☆36Mar 21, 2019Updated 7 years ago