Alternatives and similar repositories for sliced_score_matching

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

• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆144Updated 3 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆127Updated 3 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆86Updated last year
• ermongroup / ncsnv2
  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
  ☆307Updated 4 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆53Updated 11 months ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆111Updated last year
• ruiqigao / recovery_likelihood
  ☆51Updated 4 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆161Updated 4 months ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆197Updated last year
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 6 years ago
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆53Updated last year
• 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
• point0bar1 / ebm-anatomy
  PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"
  ☆38Updated 11 months 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
• NVlabs / LSGM
  The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
  ☆365Updated 3 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆232Updated 5 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
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆149Updated last year
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆114Updated 3 years ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆82Updated 3 years ago
• google-research / vdm
  ☆320Updated 2 years ago
• baofff / Extended-Analytic-DPM
  Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…
  ☆109Updated 3 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆84Updated 3 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆103Updated last year
• benrhodes26 / tre_code
  ☆24Updated 3 years ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆170Updated 3 years ago
• sony / fp-diffusion
  ☆28Updated last year
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 3 months ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year