Alternatives and similar repositories for score_flow

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

• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆86Updated last year
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆197Updated last year
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆127Updated 3 years ago
• ehoogeboom / multinomial_diffusion
  ☆223Updated 2 years ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆170Updated 3 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆84Updated 3 years ago
• ermongroup / ncsnv2
  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
  ☆307Updated 4 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆161Updated 4 months ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆148Updated 5 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆91Updated 4 years ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆87Updated 4 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)
  ☆61Updated 2 years ago
• google-research / vdm
  ☆318Updated 2 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆111Updated last year
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆53Updated last year
• qsh-zh / deis
  [ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator
  ☆157Updated 2 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆104Updated 3 years ago
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆72Updated 2 years ago
• NVlabs / LSGM
  The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
  ☆365Updated 3 years ago
• louaaron / Reflected-Diffusion
  [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
  ☆157Updated last year
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated last year
• Kinyugo / consistency_models
  A mini-library for training consistency models.
  ☆244Updated last year
• malbergo / stochastic-interpolants
  ☆152Updated last year
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆84Updated 4 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆62Updated 3 months ago
• enhuiz / langevin-dynamics-and-score-matching
  A demo shows how to combine Langevin dynamics with score matching for generative models.
  ☆38Updated 4 years ago
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆133Updated 3 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆149Updated last year
• lebellig / discrete-fm
  Educational implementation of the Discrete Flow Matching paper
  ☆92Updated 9 months ago