Stars
A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models such as YOLO, FastVLM, and more.
Master programming by recreating your favorite technologies from scratch.
A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs dir…
C++ library based on tensorrt integration
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Open source online judge based on Vue, Django and Docker. | 青岛大学开源 Online Judge | QQ群 496710125 | admin@qduoj.com
A Django content management system focused on flexibility and user experience
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
ECCV2020 paper "Whole-Body Human Pose Estimation in the Wild"
SeetaFace 6: Newest open and free, full stack face recognization toolkit.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
Images to inference with no labeling (use foundation models to train supervised models).
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"