Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)
☆64Aug 9, 2024Updated last year
Alternatives and similar repositories for LightSB
Users that are interested in LightSB are comparing it to the libraries listed below
Sorting:
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆59Aug 8, 2024Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆31Mar 21, 2024Updated last year
- PyTorch implementation of "Adversarial Schrödinger Bridge Matching" (NeurIPS 2024)☆28Jun 2, 2025Updated 9 months ago
- 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 7 months ago
- Official Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆24Aug 29, 2024Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆30Nov 5, 2023Updated 2 years ago
- PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)☆25Dec 24, 2024Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated last year
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆19Jan 27, 2026Updated last month
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆87Apr 1, 2024Updated last year
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 4 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆91Feb 14, 2025Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆88Feb 22, 2022Updated 4 years ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆197Nov 23, 2021Updated 4 years ago
- ☆43May 3, 2024Updated last year
- Mutual information estimators and benchmarks☆14Updated this week
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆13May 23, 2024Updated last year
- Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters☆10Mar 5, 2024Updated 2 years ago
- Simplified Diffusion Schrödinger Bridge☆13Apr 19, 2024Updated last year
- Official source code of HELM, a family of fully hyperbolic large language models☆29Feb 24, 2026Updated last week
- Official code for "On Calibrating Diffusion Probabilistic Models"☆30Feb 22, 2023Updated 3 years ago
- ☆207Feb 12, 2024Updated 2 years ago
- Neural Optimal Transport with Lagrangian Costs☆61May 20, 2025Updated 9 months ago
- Materials for a proposed Causal Inference Tutorial session at SciPy 2023☆12Jul 8, 2023Updated 2 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Mar 15, 2025Updated 11 months ago
- ☆16May 12, 2023Updated 2 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]☆17May 15, 2024Updated last year
- ☆63Feb 22, 2023Updated 3 years ago
- code submission to NeurIPS2019☆13Aug 9, 2023Updated 2 years ago
- [AAAI'24] DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization☆18Jul 25, 2024Updated last year
- Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer☆16Nov 21, 2024Updated last year
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆159Oct 19, 2023Updated 2 years ago
- ☆53Jan 23, 2026Updated last month
- This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).☆21May 22, 2023Updated 2 years ago
- ☆18Apr 24, 2024Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆47Jun 17, 2022Updated 3 years ago
- [NeurIPS 2023] Formulating Discrete Probability Flow Through Optimal Transport☆21Jan 8, 2024Updated 2 years ago