PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
☆231Dec 11, 2023Updated 2 years ago
Alternatives and similar repositories for NeuralOptimalTransport
Users that are interested in NeuralOptimalTransport are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆34Oct 3, 2023Updated 2 years ago
- PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)☆25Dec 24, 2024Updated last year
- PyTorch implementation of "Adversarial Schrödinger Bridge Matching" (NeurIPS 2024)☆29Jun 2, 2025Updated 10 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated last year
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆61Aug 8, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆43Mar 11, 2024Updated 2 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆32Mar 21, 2024Updated 2 years ago
- PyTorch implementation of "Light Unbalanced Optimal Transport" (NeurIPS 2024)☆22Dec 23, 2024Updated last year
- Official Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆24Aug 29, 2024Updated last year
- PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)☆20Jul 3, 2023Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆41May 8, 2022Updated 3 years ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆66Aug 9, 2024Updated last year
- ☆23Feb 4, 2025Updated last year
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60May 3, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆47Jun 17, 2022Updated 3 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆208Feb 19, 2025Updated last year
- ☆18Jun 26, 2023Updated 2 years ago
- ☆30Jul 4, 2025Updated 9 months ago
- Multimodal deep learning in neuroimaging☆14Jan 27, 2023Updated 3 years ago
- Tutorial on generative models based on ordinary (ODE) and stochastic (SDE) differential equations☆46Nov 14, 2023Updated 2 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆22Apr 22, 2024Updated last year
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆67Feb 3, 2023Updated 3 years ago
- Code for "HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation" CVPR2024☆11Apr 19, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Simplified Diffusion Schrödinger Bridge☆15Apr 19, 2024Updated 2 years ago
- [ICML 2022] Representation Topology Divergence: A Method for Comparing Neural Network Representations☆27Aug 15, 2022Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆46Mar 13, 2023Updated 3 years ago
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Sep 2, 2024Updated last year
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆35Jun 17, 2022Updated 3 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆120Feb 10, 2021Updated 5 years ago
- Neural Optimal Transport with Lagrangian Costs☆62Apr 14, 2026Updated last week
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆203Nov 23, 2021Updated 4 years ago
- Deep Generative Models course, 2022-2023☆69Jul 19, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- implements optimal transport algorithms in pytorch☆104May 15, 2022Updated 3 years ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆57Mar 26, 2025Updated last year
- POT : Python Optimal Transport☆2,781Mar 11, 2026Updated last month
- Python package for P2 (Path Planning), a masked diffusion model sampling method for sequence generation (protein, text, etc.).☆23Aug 19, 2025Updated 8 months ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Jul 6, 2021Updated 4 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆24Nov 18, 2019Updated 6 years ago
- Implementation of Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting (ICLR 2023)☆13Apr 14, 2023Updated 3 years ago