UCSC-VLAA / CLIPA
[NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
☆309Updated 8 months ago
Alternatives and similar repositories for CLIPA:
Users that are interested in CLIPA are comparing it to the libraries listed below
- Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)☆158Updated last year
- Densely Captioned Images (DCI) dataset repository.☆168Updated 7 months ago
- [CVPR 2024] CapsFusion: Rethinking Image-Text Data at Scale☆203Updated 11 months ago
- When do we not need larger vision models?☆364Updated last week
- CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet☆212Updated 2 years ago
- ☆308Updated last year
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆266Updated last year
- Official Open Source code for "Scaling Language-Image Pre-training via Masking"☆413Updated last year
- Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"☆257Updated 9 months ago
- Learning from synthetic data - code and models☆309Updated last year
- This is the official repository of our paper "What If We Recaption Billions of Web Images with LLaMA-3 ?"☆128Updated 8 months ago
- ☆132Updated last year
- Pytorch code for paper From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models☆192Updated last month
- The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"☆239Updated 3 weeks ago
- [CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts☆310Updated 6 months ago
- Official implementation of the Law of Vision Representation in MLLMs☆149Updated 2 months ago
- 🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".☆447Updated last year
- My implementation of "Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution"☆213Updated 2 weeks ago
- (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.☆327Updated last month
- SVIT: Scaling up Visual Instruction Tuning☆164Updated 7 months ago
- Official implementation and data release of the paper "Visual Prompting via Image Inpainting".☆305Updated last year
- DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception☆133Updated 2 months ago
- [CVPR 2024] Official implementation of "ViTamin: Designing Scalable Vision Models in the Vision-language Era"☆197Updated 8 months ago
- Implementation of PALI3 from the paper PALI-3 VISION LANGUAGE MODELS: SMALLER, FASTER, STRONGER"☆144Updated 2 weeks ago
- ☆101Updated last year
- ☆271Updated 2 years ago
- Matryoshka Multimodal Models☆96Updated 3 weeks ago
- Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training☆133Updated last year
- Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)☆113Updated 10 months ago
- EVE Series: Encoder-Free Vision-Language Models from BAAI☆290Updated this week