Alternatives and similar repositories for code-samples:

Users that are interested in code-samples are comparing it to the libraries listed below

• kyegomez / Vit-RGTS
  Open source implementation of "Vision Transformers Need Registers"
  ☆162Updated 2 months ago
• hsouri / Battle-of-the-Backbones
  ☆198Updated last year
• wysoczanska / clip_dinoiser
  Official implementation of 'CLIP-DINOiser: Teaching CLIP a few DINO tricks' paper.
  ☆228Updated 2 months ago
• khawar-islam / diffuseMix
  Official PyTorch implementation of DiffuseMix : Label-Preserving Data Augmentation with Diffusion Models (CVPR'2024)
  ☆101Updated 6 months ago
• TonyLianLong / CrossMAE
  Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
  ☆99Updated last month
• wangf3014 / SCLIP
  Official implementation of SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
  ☆141Updated 3 months ago
• naver-ai / cl-vs-mim
  (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"
  ☆105Updated 10 months ago
• xmed-lab / CLIP_Surgery
  CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
  ☆383Updated last year
• amirbar / visual_prompting
  Official implementation and data release of the paper "Visual Prompting via Image Inpainting".
  ☆305Updated last year
• kaiyuyue / nxtp
  Object Recognition as Next Token Prediction (CVPR 2024 Highlight)
  ☆169Updated 3 weeks ago
• lisadunlap / ALIA
  Augmenting with Language-guided Image Augmentation (ALIA)
  ☆70Updated last year
• ViTAE-Transformer / QFormer
  The official repo for [TPAMI'23] "Vision Transformer with Quadrangle Attention"
  ☆192Updated 9 months ago
• Jiawei-Yang / Denoising-ViT
  This is the official code release for our work, Denoising Vision Transformers.
  ☆351Updated 2 months ago
• WalBouss / LeGrad
  ☆62Updated 3 months ago
• LeapLabTHU / EfficientTrain
  1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundatio…
  ☆215Updated 4 months ago
• WalBouss / GEM
  [CVPR24] Official Implementation of GEM (Grounding Everything Module)
  ☆105Updated 2 months ago
• google-research / syn-rep-learn
  Learning from synthetic data - code and models
  ☆307Updated last year
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆100Updated 4 months ago
• google-research / semivl
  [ECCV'24] Official Implementation of SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
  ☆118Updated 4 months ago
• muzairkhattak / PromptSRC
  [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…
  ☆247Updated last year
• yossigandelsman / clip_text_span
  official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
  ☆184Updated last month
• OliverRensu / D-iGPT
  [ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Lea…
  ☆97Updated 8 months ago
• VinAIResearch / Dataset-Diffusion
  Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation (NeurIPS2023)
  ☆110Updated 4 months ago
• kevin-ssy / CLIP_as_RNN
  Official Implementation for CVPR 2024 paper: CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
  ☆104Updated 6 months ago
• brandontrabucco / da-fusion
  Effective Data Augmentation With Diffusion Models
  ☆231Updated 6 months ago
• Jasonlee1995 / ImageNet-1K
  ImageNet-1K data download, processing for using as a dataset
  ☆77Updated last year
• Haochen-Wang409 / DropPos
  [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
  ☆59Updated 8 months ago
• YuchenLiu98 / COMM
  Pytorch code for paper From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
  ☆191Updated last week
• vpulab / ovam
  Code for the paper Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models @ CVPR 2024
  ☆57Updated 7 months ago
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆112Updated 9 months ago