Alternatives and similar repositories for prompt-pretraining

Users that are interested in prompt-pretraining are comparing it to the libraries listed below

• LightDXY / FT-CLIP
  CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet
  ☆224Updated 3 years ago
• LijieFan / LaCLIP
  [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"
  ☆287Updated 2 years ago
• BAAI-DCAI / Visual-Instruction-Tuning
  SVIT: Scaling up Visual Instruction Tuning
  ☆166Updated last year
• facebookresearch / diht
  Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
  ☆141Updated 3 weeks ago
• LAION-AI / scaling-laws-openclip
  Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
  ☆188Updated 6 months ago
• zejiangh / MILAN
  PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…
  ☆83Updated 3 years ago
• sail-sg / ptp
  [CVPR2023] The code for 《Position-guided Text Prompt for Vision-Language Pre-training》
  ☆151Updated 2 years ago
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆180Updated last year
• fundamentalvision / Uni-Perceiver
  ☆285Updated 5 months ago
• palchenli / VL-Instruction-Tuning
  ☆92Updated 2 years ago
• clin1223 / VLDet
  [ICLR 2023] PyTorch implementation of VLDet （https://arxiv.org/abs/2211.14843）
  ☆190Updated last year
• OpenGVLab / M3I-Pretraining
  [CVPR 2023] implementation of Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information.
  ☆91Updated 2 years ago
• YuchenLiu98 / COMM
  Pytorch code for paper From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
  ☆205Updated last year
• deepglint / ALIP
  [ICCV 2023] ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
  ☆103Updated 2 years ago
• shikras / d-cube
  A detection/segmentation dataset with labels characterized by intricate and flexible expressions. "Described Object Detection: Liberating…
  ☆137Updated last year
• X2FD / LVIS-INSTRUCT4V
  ☆133Updated 2 years ago
• ggjy / DeLVM
  ☆120Updated last year
• Beckschen / ViTamin
  [CVPR 2024] Official implementation of "ViTamin: Designing Scalable Vision Models in the Vision-language Era"
  ☆211Updated last year
• ZhangYuanhan-AI / NOAH
  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.
  ☆238Updated 2 years ago
• facebookresearch / DCI
  Densely Captioned Images (DCI) dataset repository.
  ☆195Updated last year
• prannaykaul / mm-ovod
  Official repo for our ICML 23 paper: "Multi-Modal Classifiers for Open-Vocabulary Object Detection"
  ☆95Updated 2 years ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆191Updated 2 years ago
• yuhangzang / OV-DETR
  [Under preparation] Code repo for "Open-Vocabulary DETR with Conditional Matching" (ECCV 2022)
  ☆237Updated 3 years ago
• facebookresearch / CiT
  Code for the paper titled "CiT Curation in Training for Effective Vision-Language Data".
  ☆78Updated 2 years ago
• yangyangyang127 / APE
  [ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"
  ☆149Updated last year
• vishaal27 / SuS-X
  Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
  ☆106Updated 2 years ago
• megvii-research / protoclip
  📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)
  ☆54Updated 2 years ago
• ant-research / DreamLIP
  [ECCV 2024] Official PyTorch implementation of DreamLIP: Language-Image Pre-training with Long Captions
  ☆136Updated 8 months ago
• Computer-Vision-in-the-Wild / Elevater_Toolkit_IC
  Toolkit for Elevater Benchmark
  ☆76Updated 2 years ago
• SY-Xuan / Pink
  Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs
  ☆97Updated last year