Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)
☆66Aug 9, 2024Updated last year
Alternatives and similar repositories for LightSB
Users that are interested in LightSB are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆61Aug 8, 2024Updated last year
- (ICML 2025) IBMD: Inverse Bridge Matching Distillation☆15Apr 9, 2026Updated 3 months ago
- Estimating barycenters of distributions by Neural Optimal Transport (ICML 2024)☆21Mar 6, 2025Updated last year
- PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)☆17Jul 7, 2025Updated last year
- PyTorch implementation of "Field Matching: an Electrostatic Paradigm to Generate and Transfer Data" (ICML 2025)☆21Jul 23, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [ICML 2025] Categorical Schrödinger Bridge Matching☆22Updated this week
- PyTorch implementation of "Adversarial Schrödinger Bridge Matching" (NeurIPS 2024)☆30Jun 2, 2025Updated last year
- (ICLR 2026 Oral 🔥) Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)☆17Jun 24, 2026Updated last month
- PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)☆20Jul 3, 2023Updated 3 years ago
- Official Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆24Aug 29, 2024Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆41May 8, 2022Updated 4 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated last year
- The materials of the Deep Generative AI Course (2022-until now).☆24Updated this week
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆44Mar 11, 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.
- 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
- Official implementation of Deep Momentum Schrödinger Bridge☆30Nov 5, 2023Updated 2 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆216Feb 19, 2025Updated last year
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆36Jun 17, 2022Updated 4 years ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆91Apr 1, 2024Updated 2 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆233May 4, 2026Updated 2 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆93Feb 22, 2022Updated 4 years ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆19Jan 27, 2026Updated 5 months 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.
- API to the lacmus project☆11May 17, 2023Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 5 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
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆24Jun 19, 2023Updated 3 years ago
- ☆44May 3, 2024Updated 2 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆91Feb 14, 2025Updated last year
- (ICML 2026) IDLM: Inverse-distilled Diffusion Language Models☆16Jun 8, 2026Updated last month
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆211Nov 23, 2021Updated 4 years ago
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆66Dec 16, 2023Updated 2 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.
- Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters☆10Mar 5, 2024Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆53Oct 28, 2022Updated 3 years ago
- ☆13Sep 13, 2023Updated 2 years ago
- This is the official implementation of "FastFace: Tuning Identity Preservation in Distilled Diffusion via Guidance and Attention"☆20Jun 4, 2025Updated last year
- Official code for "On Calibrating Diffusion Probabilistic Models"☆30Feb 22, 2023Updated 3 years ago
- Official Code for "Rethinking Diffusion Model in High Dimension"☆26May 20, 2025Updated last year
- Official implementation of "Wave-Trainer-Fit: Neural Vocoder with Trainable Prior and Fixed-Point Iteration towards High-Quality Speech G…☆16Feb 6, 2026Updated 5 months ago