Alternatives and similar repositories for score-wasserstein:

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

• Jae-Moo / Unbalanced-Optimal-Transport-Generative-Model
  Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)
  ☆16Updated last year
• aliutkus / swf
  ☆15Updated 5 years ago
• YangLabHKUST / DGLSB
  Deep Generative Learning via Schrödinger Bridge
  ☆22Updated 3 years ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆22Updated 2 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆16Updated 6 months ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago
• PrincetonLIPS / MaM
  Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]
  ☆22Updated 8 months ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆56Updated 2 years ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆82Updated 2 months ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆35Updated 3 years ago
• byeonghu-na / INDM
  Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.
  ☆40Updated last year
• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆61Updated 2 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆59Updated 3 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆118Updated last year
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆52Updated 9 months ago
• kimiandj / gsw
  ☆39Updated 5 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆39Updated 2 years ago
• boschresearch / GMM_DAE
  ☆20Updated 3 years ago
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆21Updated 8 months ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 2 months ago
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆53Updated 2 years ago
• UW-Madison-Lee-Lab / SFT-PG
  Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023
  ☆30Updated last year
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆37Updated last year
• duchao0726 / Conditional-SWF
  ☆11Updated last year
• enhuiz / langevin-dynamics-and-score-matching
  A demo shows how to combine Langevin dynamics with score matching for generative models.
  ☆38Updated 4 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆83Updated 3 years ago
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated last year