Alternatives and similar repositories for diffusion

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

• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆98Updated 2 years ago
• marksgraham / ddpm-ood
  Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"
  ☆50Updated last year
• tcl9876 / Denoising_Student
  ☆30Updated 4 years ago
• marcojira / fld
  PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
  ☆51Updated 8 months ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆59Updated 3 years ago
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆40Updated last year
• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆95Updated 2 years ago
• boschresearch / GMM_DAE
  ☆20Updated 3 years ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 4 years ago
• KamilDeja / joint_diffusion
  ☆13Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆36Updated 8 months ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated last year
• catalys1 / mae-pytorch
  Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.
  ☆43Updated last year
• ericl122333 / PatchDiffusion-Pytorch
  Code for the Paper "Improving Diffusion Model Efficiency Through Patching"
  ☆113Updated last year
• ml-jku / MAE-CT
  ☆32Updated last year
• FutureXiang / soda
  Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆88Updated last year
• zengyi-li / MDSM
  Multiscale de-noising score matching
  ☆20Updated 4 years ago
• ruiqigao / recovery_likelihood
  ☆51Updated 4 years ago
• locuslab / deq-ddim
  ☆61Updated 2 years ago
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated last year
• ExplainableML / BayesCap
  (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
  ☆49Updated 2 years ago
• yuPeiyu98 / Deep-Region-Competition
  [NeurIPS 2021] Unsupervised Foreground Extraction via Deep Region Competition
  ☆42Updated 3 years ago
• grayhong / self-diagnosing-gan
  Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)
  ☆20Updated 3 years ago
• rishikksh20 / ResMLP-pytorch
  ResMLP: Feedforward networks for image classification with data-efficient training
  ☆43Updated 4 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆61Updated 2 years ago
• s-sahoo / MuLAN
  [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models
  ☆21Updated 6 months ago
• ExplainableML / UncertaintyAwareCycleConsistency
  Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.
  ☆24Updated 3 years ago
• hankook / CLEL
  ☆15Updated 2 years ago