Alternatives and similar repositories for WassersteinFlowMatching:

Users that are interested in WassersteinFlowMatching are comparing it to the libraries listed below

• take-koshizuka / NLSB
  ☆19Updated 2 weeks ago
• necludov / jam
  Implementation of Action Matching
  ☆38Updated last year
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆30Updated 6 months ago
• noamroze / moser_flow
  ☆16Updated 2 years ago
• iamalexkorotin / Wasserstein2Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)
  ☆38Updated 2 years ago
• necludov / wl-mechanics
  ☆32Updated 8 months ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆23Updated last year
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• ling-pan / Stochastic-GFN
  ☆12Updated last year
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆31Updated 2 months ago
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆16Updated last year
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆54Updated 11 months ago
• kksniak / metric-flow-matching
  Official implementation of Metric Flow Matching (NeurIPS 2024)
  ☆30Updated 3 months ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆44Updated last year
• GFNOrg / gfn-diffusion
  ☆23Updated 4 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆56Updated 5 months ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆24Updated last year
• gnobitab / ConstrainedDiffusionBridge
  ☆12Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆22Updated 2 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆36Updated 2 years ago
• bunnech / phd_thesis
  PhD Thesis
  ☆31Updated last year
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆31Updated 2 years ago
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆45Updated 5 months ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆52Updated 7 months ago
• malbergo / stochastic-interpolants
  ☆127Updated last year
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆57Updated 10 months ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆14Updated 3 months ago