Alternatives and similar repositories for scaling_on_scales

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

• WisconsinAIVision / ViP-LLaVA
  [CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
  ☆336Updated last year
• Beckschen / ViTamin
  [CVPR 2024] Official implementation of "ViTamin: Designing Scalable Vision Models in the Vision-language Era"
  ☆211Updated last year
• thunlp / LLaVA-UHD
  LLaVA-UHD v3: Progressive Visual Compression for Efficient Native-Resolution Encoding in MLLMs
  ☆413Updated last month
• tsb0601 / MMVP
  ☆359Updated 2 years ago
• 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…
  ☆277Updated last year
• baaivision / EVE
  EVE Series: Encoder-Free Vision-Language Models from BAAI
  ☆365Updated 6 months ago
• facebookresearch / DCI
  Densely Captioned Images (DCI) dataset repository.
  ☆195Updated last year
• Meituan-AutoML / VisionLLaMA
  VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks
  ☆390Updated last year
• luogen1996 / LLaVA-HR
  [ICLR2025] LLaVA-HR: High-Resolution Large Language-Vision Assistant
  ☆246Updated last year
• UCSC-VLAA / CLIPA
  [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
  ☆320Updated last year
• bronyayang / Law_of_Vision_Representation_in_MLLMs
  [COLM'25] Official implementation of the Law of Vision Representation in MLLMs
  ☆176Updated 3 months ago
• AILab-CVC / SEED-Bench
  (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.
  ☆360Updated last year
• microsoft / LLM2CLIP
  LLM2CLIP makes SOTA pretrained CLIP model more SOTA ever.
  ☆594Updated last month
• YuchenLiu98 / COMM
  Pytorch code for paper From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
  ☆206Updated last year
• x-cls / superclass
  [NeurIPS 2024] Classification Done Right for Vision-Language Pre-Training
  ☆227Updated 10 months ago
• kyegomez / NaViT
  My implementation of "Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution"
  ☆267Updated 2 weeks ago
• OpenGVLab / all-seeing
  [ICLR 2024 & ECCV 2024] The All-Seeing Projects: Towards Panoptic Visual Recognition&Understanding and General Relation Comprehension of …
  ☆504Updated last year
• tulip-berkeley / open_clip
  An open source implementation of CLIP (With TULIP Support)
  ☆165Updated 8 months ago
• dfan / webssl
  Code for Scaling Language-Free Visual Representation Learning (WebSSL)
  ☆245Updated 9 months ago
• baaivision / DIVA
  [ICLR 2025] Diffusion Feedback Helps CLIP See Better
  ☆299Updated last year
• baaivision / DenseFusion
  DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
  ☆159Updated last year
• google-research / syn-rep-learn
  Learning from synthetic data - code and models
  ☆326Updated 2 years ago
• HJYao00 / DenseConnector
  【NeurIPS 2024】Dense Connector for MLLMs
  ☆180Updated last year
• SHI-Labs / CuMo
  CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
  ☆162Updated last year
• h-zhao1997 / cobra
  [AAAI-25] Cobra: Extending Mamba to Multi-modal Large Language Model for Efficient Inference
  ☆293Updated last year
• allenai / unified-io-2
  ☆642Updated last year
• kyegomez / PALI3
  Implementation of PALI3 from the paper PALI-3 VISION LANGUAGE MODELS: SMALLER, FASTER, STRONGER"
  ☆146Updated 2 weeks ago
• mbzuai-oryx / Video-LLaVA
  PG-Video-LLaVA: Pixel Grounding in Large Multimodal Video Models
  ☆261Updated 5 months ago
• penghao-wu / vstar
  PyTorch Implementation of "V* : Guided Visual Search as a Core Mechanism in Multimodal LLMs"
  ☆685Updated 2 years ago
• kongds / E5-V
  E5-V: Universal Embeddings with Multimodal Large Language Models
  ☆272Updated last month