Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[ECCV 2024] Official code implementation of Vary: Scaling Up the Vision Vocabulary of Large Vision Language Models.
| Date | Stars |
|---|---|
| 2026-07-31 | 1890 |
| 2026-08-01 | 1890 |
| 2026-08-06 | 1890 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<h3><a href="">Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models</a></h3> <a href="https://varybase.github.io/"><img src="https://img.shields.io/badge/Project-Page-Green"></a> <a href="https://arxiv.org/abs/2312.06109"><img src="https://img.shields.io/badge/Paper-PDF-orange"></a> <a href="http://region-31.seetacloud.com:22701/"><img src="https://img.shields.io/badge/demo-blue"></a> <a href="https://zhuanlan.zhihu.com/p/671420712"><img src="https://img.shields.io/badge/zhihu-yellow"></a> <a href="https://trendshift.io/repositories/5978" target="_blank"><img src="https://trendshift.io/api/badge/repositories/5978" alt="Ucas-HaoranWei%2FVary | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> [Haoran Wei*](https://scholar.google.com/citations?user=J4naK0MAAAAJ&hl=en), Lingyu Kong*, Jinyue Chen, Liang Zhao, [Zheng Ge](https://joker316701882.github.io/), [Jinrong Yang](https://yancie-yjr.github.io/), [Jianjian Sun](https://scholar.google.com/citations?user=MVZrGkYAAAAJ&hl=en), Chunrui Han, [Xiangyu Zhang](https://scholar.google.com/citations?user=yuB-cfoAAAAJ&hl=en) <p align="center"> <img src="assets/logo.jpg" style="width: 200px" align=center> </p> ## Release - [2024/12/24] 🔥🔥🔥 My new work on system-2 perception is released [slow-perception](https://github.com/Ucas-HaoranWei/Slow-Perception). - [2024/9/03] 🔥🔥🔥 We release a very strong and comprehensive OCR model [GOT-OCR2.0](https://github.com/Ucas-HaoranWei/GOT-OCR2.0). - [2024/7/16] 🎉🎉🎉 [OneChart](https://github.com/LingyvKong/OneChart) is accepted by ACM'MM 2024 oral (3.97%)! - [2024/7/2] 🔥🔥🔥 Vary is accepted by ECCV2024. To thank everyone for their attention, I will release a model that performs on par with the Vary-document soon. - [2024/5/27] 🔥🔥🔥 We present a document understanding benchmark in [Fox](https://github.com/ucaslcl/Fox) . - [2024/5/24] 🔥🔥🔥 We propose a multi-page document understanding work -- [Fox](https://arxiv.org/abs/2405.14295), which supports 8-page pdf-image input !!! - [2024/4/21] 🔥🔥🔥 For OneChart, we have released the web demo in [Project Page](https://onechartt.github.io/). Have fun!! - [2024/4/21] 🔥🔥🔥 We present a Vary-tiny LAVIS codebase (for training from scratch) and the Vary-600k dataset (300K English and 300K Chinese pages) [here](https://github.com/Ucas-HaoranWei/Vary-tiny-600k) !!! - [2024/4/15]🔥🔥🔥We release a chart parsing model OneChart [here](https://github.com/LingyvKong/OneChart). - [2024/4/12]🔥🔥🔥We will release a chart parsing model based on Vary-tiny next week. The model supports both English and Chinese charts. - [2024/3/16]🔥🔥🔥I found many friends very interested in Vary-tiny(OPT-125M), so I opened source it [here](https://huggingface.co/HaoranWei/Vary-tiny-opt125M/tree/main), a PDF-dense OCR and object detection version. - [2023/1/23]🔥🔥🔥We release the Vary-toy [here](https://github.com/Ucas-HaoranWei/Vary-toy). Besides, we show the super good Vary-family results [here](https://github.com/Ucas-HaoranWei/Vary-family). - [2023/12/29]🔥🔥🔥We will release a new model (a small-size Vary, about 2B) at the beginning of next month and introduce a new feature (object detection). Our online demo will be temporarily closed to prepare for the deployment of the new model. - [2023/12/11] We released the online demo, have fun! - [2023/12/11] We released the codes of Vary (train and inference)! [](https://github.com/tatsu-lab/stanford_alpaca/blob/main/LICENSE) [](https://github.com/tatsu-lab/stanford_alpaca/blob/main/DATA_LICENSE) **Usage and License Notices**: The data, code, and checkpoint are intended and licensed for research use only. They are also restricted to use that follow the license agreement of LLaMA, Vicuna, GPT-4, Qwen, and LLaVA. ## Contents - [Install](#install) - [Vary
Excerpt of 8,436 characters
Read on GitHub
65
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:854450ea7ebad69a, desc:vision-language