Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
☆41May 8, 2022Updated 4 years ago
Alternatives and similar repositories for Large-Scale-Wasserstein-Gradient-Flows
Users that are interested in Large-Scale-Wasserstein-Gradient-Flows 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 "Light Unbalanced Optimal Transport" (NeurIPS 2024)☆22Dec 23, 2024Updated last year
- PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)☆17Jul 7, 2025Updated 11 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated last year
- PyTorch implementation of "Adversarial Schrödinger Bridge Matching" (NeurIPS 2024)☆30Jun 2, 2025Updated last year
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆66Aug 9, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)☆25Dec 24, 2024Updated last year
- [ICML2022] Variational Wasserstein gradient flow☆25Oct 17, 2022Updated 3 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆35Jun 17, 2022Updated 4 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆46Jun 17, 2022Updated 4 years ago
- PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)☆20Jul 3, 2023Updated 3 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆43Mar 11, 2024Updated 2 years ago
- Pytorch implementation of DGflow (ICLR 2021).☆16Mar 3, 2021Updated 5 years ago
- orbital MCMC☆10Jun 17, 2021Updated 5 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆33Mar 21, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Convex potential flows☆87Nov 19, 2021Updated 4 years ago
- Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"☆11Mar 18, 2024Updated 2 years ago
- code submission to NeurIPS2019☆13Aug 9, 2023Updated 2 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆67Feb 3, 2023Updated 3 years ago
- ☆10Jun 13, 2022Updated 4 years ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆210Nov 23, 2021Updated 4 years ago
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆49Aug 19, 2023Updated 2 years ago
- ☆50Jul 25, 2024Updated last year
- 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.
- [ICLR 2022] Path integral sampler☆54Aug 21, 2023Updated 2 years ago
- Implementation of WGAN-QC☆16Nov 25, 2019Updated 6 years ago
- ☆13Mar 26, 2019Updated 7 years ago
- Code of "A Geometric Perspective on Variational Autoencoders" (NeurIPS 2022)☆16Nov 19, 2024Updated last year
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Apr 13, 2024Updated 2 years ago
- [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds☆15Mar 1, 2022Updated 4 years ago
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]☆18May 15, 2024Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆129Jul 6, 2023Updated 2 years ago
- 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.
- PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…☆16May 31, 2023Updated 3 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Apr 27, 2020Updated 6 years ago
- conditional U-Net Pytorch Implementation☆11Jul 27, 2021Updated 4 years ago
- A minimal, single-file implementation of the MeanFlow paper on 2D toy examples, with a side-by-side comparison to rectified flow.☆27Jul 4, 2025Updated last year
- Optimal Transport Dataset Distance☆176May 23, 2022Updated 4 years ago
- A Python library for variational inference with normalizing flow and annealing☆15Mar 13, 2025Updated last year
- Stochastic Normalizing Flows☆80Dec 9, 2021Updated 4 years ago