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
• xiefan-guo / Awesome-Visual-Diffusion-Models
  A collection of resources and papers on Visual Diffusion Models.
  ☆77Updated 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…
  ☆48Updated 3 years ago
• 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
• DRSY / EMO
  [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)
  ☆122Updated 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）
  ☆243Updated last year
• weigq / iclr2023_stats
  ICLR2023 statistics
  ☆60Updated last year
• sunlin-ai / diffusion_tutorial
  diffusion generative model
  ☆184Updated 2 years ago
• raminnakhli / Decoupled-Contrastive-Learning
  This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.
  ☆115Updated 3 years ago
• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆49Updated 2 years ago
• CrossmodalGroup / MaskedVectorQuantization
  Official Pytorch Implementation of Our CVPR2023 Paper: "Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image…
  ☆57Updated last year
• ChengtaiCao / Awesome-Mix
  A curated list of awesome Mix
  ☆70Updated 2 years ago
• huangleiBuaa / NormalizationSurvey
  This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application
  ☆84Updated 3 years ago
• kahnchana / opl
  Official repository for "Orthogonal Projection Loss" (ICCV'21)
  ☆121Updated 3 years ago
• bwconrad / can
  PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".
  ☆39Updated 2 years ago
• zhihou7 / BatchFormer
  CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
  ☆251Updated 2 years ago
• bojone / FSQ
  Keras implement of Finite Scalar Quantization
  ☆71Updated last year
• seanywang0408 / Crawling-CV-Conference-Papers
  Crawling CV conference papers with Python.
  ☆69Updated last year
• yikangshen / MoA
  Mixture of Attention Heads
  ☆44Updated 2 years ago
• quanlin-wu / dmae
  Denoising Masked Autoencoders Help Robust Classification.
  ☆62Updated last year
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆82Updated last year
• Nebularaid2000 / bottleneck
  PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022 Oral)
  ☆38Updated 6 months ago
• lancopku / Explicit-Sparse-Transformer
  code for Explicit Sparse Transformer
  ☆62Updated last year
• Hhhhhhao / Noisy-Model-Learning
  ☆35Updated last year
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆93Updated last year
• Adamdad / Repfusion
  ☆54Updated last year
• Haoqing-Wang / InfoCL
  [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning
  ☆68Updated last year
• kuixu / Linear-Multihead-Attention
  Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
  ☆76Updated 4 years ago
• nengwp / Lion-vs-Adam
  Lion and Adam optimization comparison
  ☆61Updated 2 years ago
• Hao840 / manifold-distillation
  Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS 2022.
  ☆32Updated 2 years ago