Alternatives and similar repositories for diffusion

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

• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆60Updated 3 years ago
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆80Updated 2 years ago
• marksgraham / ddpm-ood
  Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"
  ☆50Updated last year
• giannisdaras / ambient-diffusion
  [NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"
  ☆81Updated last year
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• tcl9876 / Denoising_Student
  ☆31Updated 4 years ago
• catalys1 / mae-pytorch
  Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.
  ☆43Updated last year
• kxh001 / ITdiffusion
  Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.
  ☆36Updated last year
• ericl122333 / PatchDiffusion-Pytorch
  Code for the Paper "Improving Diffusion Model Efficiency Through Patching"
  ☆113Updated last year
• marcojira / fld
  PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
  ☆52Updated 9 months ago
• locuslab / deq-ddim
  ☆61Updated 2 years ago
• KamilDeja / joint_diffusion
  ☆13Updated 2 years ago
• Shubhamai / pytorch-vqgan
  This repo contains the implementation of VQGAN, Taming Transformers for High-Resolution Image Synthesis in PyTorch from scratch. I have a…
  ☆36Updated 10 months ago
• shivanichander / tSNE
  Visualising High Dimensional Data using tSNE
  ☆51Updated 7 years ago
• jiamings / d2c
  PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.
  ☆125Updated 3 years ago
• rishikksh20 / ResMLP-pytorch
  ResMLP: Feedforward networks for image classification with data-efficient training
  ☆43Updated 4 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
• georgosgeorgos / hierarchical-few-shot-generative-models
  Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022
  ☆15Updated 2 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated last year
• PatrickHua / SimpleMAE
  ☆24Updated 3 years ago
• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆95Updated 2 years ago
• vedantroy / improved-ddpm-pytorch
  Implementation of "Improved Denoising Diffusion Probabilistic Models" in Pytorch
  ☆40Updated 2 years ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆207Updated 2 years ago
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated last year
• haolsun / dual-glow
  [ICCV'19] DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
  ☆20Updated 2 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆97Updated 2 years ago
• aju22 / DDPM
  This is an easy to understand, simplified, broken-down implementation of Diffusion Models written in PyTorch. The architecture is borrowe…
  ☆27Updated last year
• iamalexkorotin / KernelNeuralOptimalTransport
  PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
  ☆25Updated last year
• grayhong / self-diagnosing-gan
  Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)
  ☆20Updated 3 years ago
• cognaclee / DPM-OT
  ☆40Updated 4 months ago