Official implementation of Deep Momentum Schrödinger Bridge
☆30Nov 5, 2023Updated 2 years ago
Alternatives and similar repositories for DMSB
Users that are interested in DMSB are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Mirror Diffusion Models, NeurIPS 2023☆33Dec 1, 2023Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Oct 28, 2022Updated 3 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆91Feb 22, 2022Updated 4 years ago
- ☆23Feb 4, 2025Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆89Apr 1, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆43Mar 11, 2024Updated 2 years ago
- [NeurIPS 2025] Official pytorch repository for "Guided Diffusion Sampling on Function Spaces with Applications to PDEs"☆43Apr 4, 2026Updated last week
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆208Feb 19, 2025Updated last year
- ☆35Sep 12, 2022Updated 3 years ago
- ☆39Jun 26, 2024Updated last year
- Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters☆10Mar 5, 2024Updated 2 years ago
- ☆18Sep 27, 2023Updated 2 years ago
- Neural Optimal Transport with Lagrangian Costs☆62May 20, 2025Updated 10 months ago
- Code for reviewers☆12Oct 8, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Oct 21, 2023Updated 2 years ago
- ☆23Jan 24, 2026Updated 2 months ago
- ☆32May 30, 2024Updated last year
- ☆13Jul 25, 2023Updated 2 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆34Oct 3, 2023Updated 2 years ago
- Repository for Deterministic Particle Flow Control framework☆10Nov 13, 2022Updated 3 years ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆19Jan 27, 2026Updated 2 months ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆57Aug 14, 2025Updated 8 months ago
- Code release for "Stochastic Optimal Control Matching"☆40Aug 14, 2024Updated last year
- 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.
- ☆13Dec 12, 2023Updated 2 years ago
- ☆13Feb 9, 2023Updated 3 years ago
- Efficient random sampling via linear interpolation.☆15Sep 25, 2024Updated last year
- Learning Stochastic Dynamics with Statistics-Informed Neural Network☆12Sep 19, 2022Updated 3 years ago
- ☆19Jul 10, 2023Updated 2 years ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆22Jun 19, 2023Updated 2 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Feb 11, 2023Updated 3 years ago
- Multi-dimensional (generalized) Langevin equation☆12Sep 14, 2024Updated last year
- ☆14Mar 16, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆15Feb 23, 2025Updated last year
- This project is a Python demonstrator for the stochastic grid bundling method (SGBM) to solve backward stochastic differential equations …☆12Nov 19, 2018Updated 7 years ago
- Accompanying code for "Weak form generalized Hamiltonian learning"☆11Feb 13, 2021Updated 5 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆49Dec 9, 2024Updated last year
- ☆17Jul 18, 2024Updated last year
- MATLAB code for Combined Hybrid-Parallel Prediction☆10Nov 14, 2022Updated 3 years ago
- Research repository to the publication: Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molec…☆14Apr 2, 2024Updated 2 years ago