ermongroup / sliced_score_matching

Related projects: ⓘ

• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆130Updated 2 years ago
• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆120Updated 3 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆49Updated last month
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆69Updated 4 months ago
• point0bar1 / ebm-anatomy
  PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"
  ☆36Updated last month
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆105Updated 2 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆71Updated 2 years ago
• benrhodes26 / tre_code
  ☆22Updated 2 years ago
• malbergo / stochastic-interpolants
  ☆90Updated 7 months ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆101Updated 2 years ago
• akandykeller / SelfNormalizingFlows
  ☆67Updated last year
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 5 years ago
• xqding / RealNVP
  A PyTorch Implementation of Density Estimation Using Real NVP
  ☆57Updated 3 years ago
• wgrathwohl / VERA
  ☆62Updated 7 months ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆99Updated 8 months ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆194Updated 10 months ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆109Updated last year
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆138Updated 2 years ago
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆45Updated 4 years ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆81Updated 3 years ago
• lifeitech / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆30Updated 10 months ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆82Updated 3 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆68Updated 2 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆86Updated 5 months ago
• Xemnas0 / NCSN-TF2.0
  Reproduction of "Generative Modeling by Estimating Gradients of the Data Distribution" (NeurIPS, 2019) in Tensorflow 2.0
  ☆18Updated last year
• ermongroup / dre-infinity
  Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)
  ☆16Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆60Updated 2 years ago
• Ending2015a / toy_gradlogp
  Some toy examples of score matching algorithms written in PyTorch
  ☆44Updated 2 years ago
• ermongroup / ncsnv2
  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
  ☆276Updated 3 years ago