Alternatives and similar repositories for lens

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

• kohjingyu / fromage
  🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
  ☆485Updated 2 years ago
• kohjingyu / gill
  🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".
  ☆471Updated 2 years ago
• UCSC-VLAA / CLIPA
  [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
  ☆320Updated last year
• apple / ml-veclip
  The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"
  ☆250Updated last year
• mlfoundations / datacomp
  DataComp: In search of the next generation of multimodal datasets
  ☆768Updated 9 months ago
• Vision-CAIR / ChatCaptioner
  Official Repository of ChatCaptioner
  ☆467Updated 2 years ago
• facebookresearch / LaViLa
  Code release for "Learning Video Representations from Large Language Models"
  ☆536Updated 2 years ago
• luogen1996 / LaVIN
  [NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"
  ☆525Updated 2 years ago
• SALT-NLP / LLaVAR
  Code/Data for the paper: "LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding"
  ☆269Updated last year
• OpenGVLab / all-seeing
  [ICLR 2024 & ECCV 2024] The All-Seeing Projects: Towards Panoptic Visual Recognition&Understanding and General Relation Comprehension of …
  ☆504Updated last year
• penghao-wu / vstar
  PyTorch Implementation of "V* : Guided Visual Search as a Core Mechanism in Multimodal LLMs"
  ☆688Updated 2 years ago
• kyegomez / CM3Leon
  An open source implementation of "Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning", an all-new multi modal …
  ☆364Updated 2 years ago
• bfshi / TOAST
  Official code for "TOAST: Transfer Learning via Attention Steering"
  ☆188Updated 2 years ago
• kyegomez / PALI3
  Implementation of PALI3 from the paper PALI-3 VISION LANGUAGE MODELS: SMALLER, FASTER, STRONGER"
  ☆146Updated 3 weeks ago
• HyperGAI / HPT
  HPT - Open Multimodal LLMs from HyperGAI
  ☆314Updated last year
• LLaVA-VL / LLaVA-Plus-Codebase
  LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills
  ☆763Updated 2 years ago
• jshilong / GPT4RoI
  (ECCVW 2025)GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
  ☆551Updated 8 months ago
• SHI-Labs / VCoder
  [CVPR 2024] VCoder: Versatile Vision Encoders for Multimodal Large Language Models
  ☆279Updated last year
• dhansmair / flamingo-mini
  Implementation of the deepmind Flamingo vision-language model, based on Hugging Face language models and ready for training
  ☆168Updated 2 years ago
• allenai / unified-io-inference
  ☆231Updated 2 years ago
• LLaVA-VL / LLaVA-Interactive-Demo
  LLaVA-Interactive-Demo
  ☆380Updated last year
• huggingface / OBELICS
  Code used for the creation of OBELICS, an open, massive and curated collection of interleaved image-text web documents, containing 141M d…
  ☆211Updated last year
• WisconsinAIVision / ViP-LLaVA
  [CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
  ☆336Updated last year
• HenryHZY / Awesome-Multimodal-LLM
  Research Trends in LLM-guided Multimodal Learning.
  ☆357Updated 2 years ago
• yuweihao / MM-Vet
  MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities (ICML 2024)
  ☆321Updated last year
• MILVLG / imp
  a family of highly capabale yet efficient large multimodal models
  ☆191Updated last year
• facebookresearch / DCI
  Densely Captioned Images (DCI) dataset repository.
  ☆195Updated last year
• kongds / E5-V
  E5-V: Universal Embeddings with Multimodal Large Language Models
  ☆273Updated 2 months ago
• bfshi / scaling_on_scales
  When do we not need larger vision models?
  ☆412Updated last year
• AILab-CVC / SEED-Bench
  (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.
  ☆360Updated last year