Stars
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
Open-Sora: Democratizing Efficient Video Production for All
Janus-Series: Unified Multimodal Understanding and Generation Models
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
HunyuanVideo: A Systematic Framework For Large Video Generation Model
Universal cross-platform tokenizers binding to HF and sentencepiece
This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.
Higher performance OpenAI LLM service than vLLM serve: A pure C++ high-performance OpenAI LLM service implemented with GPRS+TensorRT-LLM+Tokenizers.cpp, supporting chat and function call, AI agents…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone
Porting of Pillow resize method in C++ and OpenCV.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
A high-throughput and memory-efficient inference and serving engine for LLMs
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
GPT4V-level open-source multi-modal model based on Llama3-8B
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
High-speed Large Language Model Serving for Local Deployment
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
Open standard for machine learning interoperability
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Segment Anything in High Quality [NeurIPS 2023]