Alternatives and similar repositories for ViT_visualization

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

• akhtarvision / cal-detr
  ☆42Updated last year
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆78Updated 3 years ago
• amazon-science / semi-vit
  PyTorch implementation of Semi-supervised Vision Transformers
  ☆60Updated 2 years ago
• eric-ai-lab / PEViT
  Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
  ☆104Updated 2 years ago
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆101Updated last year
• ml-jku / MAE-CT
  ☆32Updated last year
• rishikksh20 / ResMLP-pytorch
  ResMLP: Feedforward networks for image classification with data-efficient training
  ☆45Updated 4 years ago
• fistyee / MixPro
  🔥MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer [Official, ICLR 2023]
  ☆21Updated last year
• hammoudhasan / DiffCLIP
  Official Implementation of DiffCLIP: Differential Attention Meets CLIP
  ☆43Updated 6 months ago
• mlvlab / TokenMixup
  Official pytorch implementation of NeurIPS 2022 paper, TokenMixup
  ☆48Updated 2 years ago
• Haochen-Wang409 / HPM
  [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining
  ☆102Updated 5 months ago
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆54Updated last year
• cvl-umass / AdaptCLIPZS
  ☆42Updated 8 months ago
• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆100Updated 2 years ago
• hananshafi / vits-for-small-scale-datasets
  [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"
  ☆162Updated last year
• wgcban / adamae
  [CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders
  ☆80Updated last year
• Sara-Ahmed / GMML
  ☆14Updated 3 years ago
• m1k2zoo / negbench
  Evaluation and dataset construction code for the CVPR 2025 paper "Vision-Language Models Do Not Understand Negation"
  ☆33Updated 5 months ago
• UCSC-VLAA / CLIPS
  An Enhanced CLIP Framework for Learning with Synthetic Captions
  ☆37Updated 5 months ago
• ml-jku / MIM-Refiner
  A Contrastive Learning Boost from Intermediate Pre-Trained Representations
  ☆43Updated last year
• Imageomics / INTR
  This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.
  ☆52Updated last year
• AbrahamYabo / SdAE
  ☆62Updated 2 years ago
• all-things-vits / code-samples
  Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.
  ☆195Updated 2 years ago
• OliverRensu / DeepMIM
  [WACV2025 Oral] DeepMIM: Deep Supervision for Masked Image Modeling
  ☆53Updated 4 months ago
• mcahny / rovit
  RO-ViT CVPR 2023 "Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers"
  ☆18Updated 2 years ago
• lisadunlap / ALIA
  Augmenting with Language-guided Image Augmentation (ALIA)
  ☆79Updated last year
• facebookresearch / r-mae
  PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411
  ☆114Updated 2 years ago
• jonkahana / CLIPPR
  An official PyTorch implementation for CLIPPR
  ☆29Updated 2 years ago
• quanlin-wu / dmae
  Denoising Masked Autoencoders Help Robust Classification.
  ☆67Updated 2 years ago
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago