Alternatives and similar repositories for siglip

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

• google / imageinwords
  Data release for the ImageInWords (IIW) paper.
  ☆221Updated 11 months ago
• SHI-Labs / VCoder
  [CVPR 2024] VCoder: Versatile Vision Encoders for Multimodal Large Language Models
  ☆277Updated last year
• kaiyuyue / nxtp
  PyTorch Implementation of Object Recognition as Next Token Prediction [CVPR'24 Highlight]
  ☆180Updated 6 months ago
• UCSC-VLAA / OpenVision
  [ICCV 2025] OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning
  ☆402Updated 2 months ago
• Hon-Wong / VoRA
  [Fully open] [Encoder-free MLLM] Vision as LoRA
  ☆344Updated 5 months ago
• tulip-berkeley / open_clip
  An open source implementation of CLIP (With TULIP Support)
  ☆163Updated 6 months ago
• LLaVA-VL / LLaVA-Interactive-Demo
  LLaVA-Interactive-Demo
  ☆378Updated last year
• apple / ml-veclip
  The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"
  ☆246Updated 9 months ago
• microsoft / LLM2CLIP
  LLM2CLIP makes SOTA pretrained CLIP model more SOTA ever.
  ☆563Updated 4 months ago
• bfshi / scaling_on_scales
  When do we not need larger vision models?
  ☆412Updated 9 months ago
• NVlabs / PS3
  Scaling Vision Pre-Training to 4K Resolution
  ☆211Updated 2 months ago
• facebookresearch / unibench
  Python Library to evaluate VLM models' robustness across diverse benchmarks
  ☆219Updated 3 weeks ago
• NVlabs / LITA
  ☆188Updated last year
• andimarafioti / florence2-finetuning
  Quick exploration into fine tuning florence 2
  ☆334Updated last year
• Meituan-AutoML / VisionLLaMA
  VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks
  ☆389Updated last year
• MILVLG / imp
  a family of highly capabale yet efficient large multimodal models
  ☆191Updated last year
• anyantudre / Florence-2-Vision-Language-Model
  Florence-2 is a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-lan…
  ☆114Updated last year
• czg1225 / SlimSAM
  [NeurIPS 2024] SlimSAM: 0.1% Data Makes Segment Anything Slim
  ☆344Updated last month
• facebookresearch / webssl
  Code for "Scaling Language-Free Visual Representation Learning" paper (Web-SSL).
  ☆188Updated 6 months ago
• YuchenLiu98 / COMM
  Pytorch code for paper From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
  ☆205Updated 10 months ago
• aimagelab / LLaVA-MORE
  [ICCVW 25] LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning
  ☆155Updated 3 months ago
• google-deepmind / tips
  ☆106Updated 7 months ago
• Beckschen / ViTamin
  [CVPR 2024] Official implementation of "ViTamin: Designing Scalable Vision Models in the Vision-language Era"
  ☆210Updated last year
• kongds / E5-V
  E5-V: Universal Embeddings with Multimodal Large Language Models
  ☆274Updated 10 months ago
• kyegomez / PALI3
  Implementation of PALI3 from the paper PALI-3 VISION LANGUAGE MODELS: SMALLER, FASTER, STRONGER"
  ☆145Updated 2 weeks ago
• UX-Decoder / FIND
  [NeurIPS 2024] Official implementation of the paper "Interfacing Foundation Models' Embeddings"
  ☆127Updated last year
• WisconsinAIVision / ViP-LLaVA
  [CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
  ☆331Updated last year
• xk-huang / segment-caption-anything
  [CVPR 24] The repository provides code for running inference and training for "Segment and Caption Anything" (SCA) , links for downloadin…
  ☆230Updated last year
• DAMO-NLP-SG / Inf-CLIP
  [CVPR 2025 Highlight] The official CLIP training codebase of Inf-CL: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for C…
  ☆269Updated 9 months ago
• SHI-Labs / CuMo
  CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
  ☆158Updated last year