Alternatives and similar repositories for diffusion:

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

• ml-researcher / VAE
  ☆11Updated 2 years ago
• FengHZ / mixupfamily
  The implementation of mixup and mainfold mixup method with standard models(PreActRes, WideRes, Dense) in Cifar10, Cifar100 and SVHN datas…
  ☆44Updated 3 years ago
• raminnakhli / Decoupled-Contrastive-Learning
  This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.
  ☆114Updated 3 years ago
• DRSY / EMO
  [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)
  ☆119Updated last year
• deng1fan / GpuQueuer
  Gpu 任务排队
  ☆2Updated last year
• scilearner / papernotclear
  蜻蜓点论文 Think不Clear， 论文解读视频上传B站， youtube， 西瓜视频（同步到抖音）
  ☆242Updated last year
• quanlin-wu / dmae
  Denoising Masked Autoencoders Help Robust Classification.
  ☆62Updated last year
• XueFuzhao / WideNet_Code
  Implementation of AAAI 2022 Paper: Go wider instead of deeper
  ☆32Updated 2 years ago
• xiefan-guo / Awesome-Visual-Diffusion-Models
  A collection of resources and papers on Visual Diffusion Models.
  ☆77Updated 2 years ago
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆89Updated last year
• ChengtaiCao / Awesome-Mix
  A curated list of awesome Mix
  ☆68Updated 2 years ago
• anyirao / latex-conference-template
  Latex template for conference (e.g. ICCV/CVPR) submission/supplementary/rebuttal
  ☆69Updated last year
• zhihou7 / BatchFormer
  CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
  ☆250Updated last year
• lancopku / well-classified-examples-are-underestimated
  Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
  ☆51Updated 2 years ago
• MehdiZouitine / Learning-Disentangled-Representations-via-Mutual-Information-Estimation
  Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)
  ☆77Updated 3 years ago
• BastianChen / ddpm-demo-pytorch
  PyTorch implementation of DDPM Demo and Classifier-Free DDPM Demo. Experiments were conducted on MNIST and Cifar10 datasets.
  ☆24Updated 2 years ago
• bojone / FSQ
  Keras implement of Finite Scalar Quantization
  ☆71Updated last year
• Hzzone / torch_clustering
  A pure PyTorch implementation of kmeans and GMM with distributed clustering.
  ☆44Updated 2 years ago
• Haoqing-Wang / InfoCL
  [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning
  ☆68Updated last year
• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆48Updated 2 years ago
• Hhhhhhao / Noisy-Model-Learning
  ☆35Updated last year
• CrossmodalGroup / MaskedVectorQuantization
  Official Pytorch Implementation of Our CVPR2023 Paper: "Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image…
  ☆57Updated last year
• lehduong / torch-warmup-lr
  Warmup learning rate wrapper for Pytorch Scheduler
  ☆41Updated 4 years ago
• kahnchana / opl
  Official repository for "Orthogonal Projection Loss" (ICCV'21)
  ☆120Updated 3 years ago
• seanywang0408 / Crawling-CV-Conference-Papers
  Crawling CV conference papers with Python.
  ☆68Updated last year
• lucidrains / bidirectional-cross-attention
  A simple cross attention that updates both the source and target in one step
  ☆166Updated 10 months ago
• ArchipLab-LinfengZhang / contrastive-deep-supervision
  Codes for ECCV2022 paper - contrastive deep supervision
  ☆68Updated 2 years ago
• yikangshen / MoA
  Mixture of Attention Heads
  ☆43Updated 2 years ago
• hirl-team / HCSC
  [CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)
  ☆131Updated 3 years ago
• haofanwang / awesome-mlp-papers
  Recent Advances in MLP-based Models (MLP is all you need!)
  ☆114Updated 2 years ago