Alternatives and similar repositories for SB-FBSDE

Users that are interested in SB-FBSDE are comparing it to the libraries listed below

• ghliu / DeepGSB

  View on GitHub
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆52Oct 28, 2022Updated 3 years ago
• TianrongChen / DMSB

  View on GitHub
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆30Nov 5, 2023Updated 2 years ago
• JTT94 / diffusion_schrodinger_bridge

  View on GitHub
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆191Nov 23, 2021Updated 4 years ago
• franciscovargas / GP_Sinkhorn

  View on GitHub
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆23May 1, 2022Updated 3 years ago
• facebookresearch / generalized-schrodinger-bridge-matching

  View on GitHub
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆85Apr 1, 2024Updated last year
• vsomnath / aligned_diffusion_bridges

  View on GitHub
  Aligned Diffusion Schroedinger Bridges (UAI 2023)
  ☆33Oct 1, 2023Updated 2 years ago
• yuyang-shi / dsbm-pytorch

  View on GitHub
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆201Feb 19, 2025Updated 11 months ago
• take-koshizuka / NLSB

  View on GitHub
  ☆22Feb 4, 2025Updated last year
• ngushchin / EntropicOTBenchmark

  View on GitHub
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆27Mar 21, 2024Updated last year
• necludov / action-matching

  View on GitHub
  Implementation of Action Matching for the Schrödinger equation
  ☆25Jun 18, 2023Updated 2 years ago
• kkapusniak / metric-flow-matching

  View on GitHub
  Official implementation of Metric Flow Matching (NeurIPS 2024)
  ☆55Aug 14, 2025Updated 6 months ago
• YangLabHKUST / DGLSB

  View on GitHub
  Deep Generative Learning via Schrödinger Bridge
  ☆25Nov 1, 2021Updated 4 years ago
• ghliu / snopt

  View on GitHub
  Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
  ☆55Nov 5, 2021Updated 4 years ago
• LarsHoldijk / SOCTransitionPaths

  View on GitHub
  ☆34Sep 12, 2022Updated 3 years ago
• necludov / wl-mechanics

  View on GitHub
  ☆32May 30, 2024Updated last year
• J-zin / energy-discrepancy

  View on GitHub
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Oct 22, 2024Updated last year
• UW-Madison-Lee-Lab / score-wasserstein

  View on GitHub
  Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022
  ☆17Feb 11, 2023Updated 3 years ago
• ngushchin / EntropicNeuralOptimalTransport

  View on GitHub
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆42Mar 11, 2024Updated last year
• jarridrb / DEM

  View on GitHub
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆68Apr 11, 2025Updated 10 months ago
• ghliu / mdm

  View on GitHub
  Mirror Diffusion Models, NeurIPS 2023
  ☆33Dec 1, 2023Updated 2 years ago
• ngushchin / LightSB

  View on GitHub
  Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)
  ☆64Aug 9, 2024Updated last year
• KiUngSong / RSB

  View on GitHub
  "Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling"
  ☆11Aug 16, 2022Updated 3 years ago
• lollcat / fab-torch

  View on GitHub
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Mar 11, 2024Updated last year
• noamroze / moser_flow

  View on GitHub
  ☆18Mar 16, 2022Updated 3 years ago
• ximenafernandez / intrinsicPH

  View on GitHub
  This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'
  ☆10May 8, 2023Updated 2 years ago
• juliusberner / sde_sampler

  View on GitHub
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆72Mar 14, 2025Updated 11 months ago
• qsh-zh / pis

  View on GitHub
  [ICLR 2022] Path integral sampler
  ☆52Aug 21, 2023Updated 2 years ago
• vdeborto / cdsb

  View on GitHub
  ☆25Jul 1, 2022Updated 3 years ago
• facebookresearch / SOC-matching

  View on GitHub
  Code release for "Stochastic Optimal Control Matching"
  ☆39Aug 14, 2024Updated last year
• stepelu / idbm-pytorch

  View on GitHub
  ☆13Sep 13, 2023Updated 2 years ago
• DenisBless / variational_sampling_methods

  View on GitHub
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆46Dec 9, 2024Updated last year
• clbonet / Spherical_Sliced-Wasserstein

  View on GitHub
  Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"
  ☆14Feb 18, 2024Updated last year
• cambridge-mlg / neural_diffusion_processes

  View on GitHub
  ☆13Jun 13, 2023Updated 2 years ago
• sangyun884 / fast-ode

  View on GitHub
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆91Feb 14, 2025Updated last year
• facebookresearch / riemannian-fm

  View on GitHub
  code for "Riemannian Flow Matching on General Geometries".
  ☆284Mar 13, 2024Updated last year
• facebookresearch / w2ot

  View on GitHub
  Euclidean Wasserstein-2 optimal transportation
  ☆46Aug 19, 2023Updated 2 years ago
• microsoft / soc-fine-tuning-sd

  View on GitHub
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching
  ☆63May 30, 2025Updated 8 months ago
• DynaDojo / dynadojo

  View on GitHub
  An Extensible Benchmarking Platform for Scalable Dynamical System Identification
  ☆18Aug 20, 2024Updated last year
• zdhNarsil / Diffusion-Generative-Flow-Samplers

  View on GitHub
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆26Dec 21, 2023Updated 2 years ago