Alternatives and similar repositories for score-wasserstein

Users that are interested in score-wasserstein are comparing it to the libraries listed below

• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆37Updated last year
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year
• Jae-Moo / Unbalanced-Optimal-Transport-Generative-Model
  Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)
  ☆16Updated last year
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆88Updated 6 months ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆148Updated 3 years ago
• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆62Updated 2 years ago
• PrincetonLIPS / MaM
  Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]
  ☆22Updated last year
• enhuiz / langevin-dynamics-and-score-matching
  A demo shows how to combine Langevin dynamics with score matching for generative models.
  ☆40Updated 4 years ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆24Updated 2 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆40Updated 2 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆83Updated 3 years ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆148Updated 5 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• aliutkus / swf
  ☆15Updated 5 years ago
• YangLabHKUST / DGLSB
  Deep Generative Learning via Schrödinger Bridge
  ☆24Updated 3 years ago
• SKholkin / LightSB-Matching
  Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation
  ☆45Updated last year
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated last year
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated 10 months ago
• duchao0726 / Conditional-SWF
  ☆12Updated 2 years ago
• ngushchin / LightSB
  Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)
  ☆58Updated last year
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆134Updated 3 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆105Updated 3 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆129Updated 4 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆61Updated 3 years ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 4 years ago
• vdeborto / cdsb
  ☆24Updated 3 years ago
• kxh001 / ITdiffusion
  Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.
  ☆36Updated last year
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆174Updated 6 months ago
• giannisdaras / cdm
  [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"
  ☆57Updated 2 years ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago