阿里云对Qwen-BL系列进行微调的开源实现。
qwen2-5-vl 开源项目推荐(109 个)
qwen2-5-vl 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 109 个仓库Run generative AI models in sophgo BM1684X/BM1688
Automated image & video captioning using Qwen-VL, Gemma4 and SAM3.
🍑 relsim:关系视觉相似性 |pip install relsim 🌍 (CVPR 2026)
[CVPR 2026] OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding
[ACM MM 2026] ReGround: Restoring Visual Grounding in Multi-Step Reasoning through Self-Diagnosis and Visual Re-Examination
Use 2 lines to empower absolute time awareness for Qwen2.5VL's MRoPE
Simple image and video captioning app with a Gradio UI, powered by Qwen2.5/3 VL Instruct.
A dedicated Colab notebooks to experiment (Nanonets OCR, Monkey OCR, OCRFlux 3B, Typhoo OCR 3B & more..) On T4 GPU - free tier
A batched implementation for efficient Qwen2.5-VL inference.
Official implementation of SOVA: Strict Outcome-Conditioned Virtual Advantages for Video Reasoning. Correctness-oriented calibration for TW-GRPO without extra rollouts.
Multimodal-OCR is an experimental, high-performance visual reasoning and optical character recognition suite designed to accurately extract text, analyze visual content, and parse complex document structures. Built upon a diverse ecosystem of cutting-edge vision-language models.
Qwen-Image-Edit-2509-LoRAs-Fast is a high-performance, user-friendly web application built with Gradio that leverages the advanced Qwen/Qwen-Image-Edit-2509 model from Hugging Face for seamless image editing tasks.
Hackathon | SIH 2025 | SIH25030 | "AI-powered crop diagnosis, disease detection, and multilingual farming assistant - empowering farmers with real-time, offline-ready agricultural insights."
[AAAI'26] Official implementation of CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation
[WACV 2027] ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval
基于Gradio的演示应用,用于比较最先进的OCR模型:DeepSeek-OCR、Dots.OCR、HunyuanOCR和Nanonets-OCR2-3B。
QIE-Bbox-Studio(Qwen 图像编辑边界框 Studio)是一款基于 Qwen2.5-VL 和 Qwen-Image-Edit 模型构建的先进 AI 驱动图像编辑界面。该应用允许用户通过定义边界框和提供自然语言提示,极其精确地操控图像。
Qwen3-VL-Outpost is an experimental, high-performance visual reasoning and multimodal inference suite designed for advanced image analysis, optical character recognition, and complex scene understanding. Built around the state-of-the-art Qwen3-VL and Qwen2.5-VL model families.
Transform your documents into intelligent conversations. This open-source RAG chatbot combines semantic search with fine-tuned language models (LLaMA, Qwen2.5VL-3B) to deliver accurate, context-aware responses from your own knowledge base. Join our community!
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/qwen2-5-vl。
- 该话题在 GitHub 上共有 109 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2865 Star,覆盖 3 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。