Lists (1)
Sort Name ascending (A-Z)
Stars
MySQL/MariaDB database management for macOS
WEB VIDEO PLATFORM是一个基于GB28181-2016标准实现的网络视频平台,支持NAT穿透,支持海康、大华、宇视等品牌的IPC、NVR、DVR接入。支持国标级联,支持rtsp/rtmp等视频流转发到国标平台,支持rtsp/rtmp等推流转发到国标平台。
A simple fully working websocket-server in Python with no external dependencies
中文大模型能力评测榜单:目前已囊括115个大模型,覆盖chatgpt、gpt4o、百度文心一言、阿里通义千问、讯飞星火、商汤senseChat、minimax等商用模型, 以及百川、qwen2、glm4、yi、书生internLM2、llama3等开源大模型,多维度能力评测。不仅提供能力评分排行榜,也提供所有模型的原始输出结果!
Effortless data labeling with AI support from Segment Anything and other awesome models.
Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.
An extremely fast Python package and project manager, written in Rust.
Data annotation toolbox supports image, audio and video data.
⛷ Lightweight Markdown app to help you write great sentences. ⛷ 轻灵的 Markdown 笔记本伴你写出妙言
🚀 你的YOLO部署神器。TensorRT Plugin、CUDA Kernel、CUDA Graphs三管齐下,享受闪电般的推理速度。| Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast…
Stable-Hair: Real-World Hair Transfer via Diffusion Model
Mobile-Agent: The Powerful Mobile Device Operation Assistant Family
Official implementation of OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Firefly: 大模型训练工具,支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型
workspace是基于C++11的轻量级异步执行框架,支持:通用任务异步并发执行、优先级任务调度、自适应动态线程池、高效静态线程池、异常处理机制等。
Trying to make python selenium more stealthy.
V2rayU,基于v2ray核心的mac版客户端,用于科学上网,使用swift编写,支持trojan,vmess,shadowsocks,socks5等服务协议,支持订阅, 支持二维码,剪贴板导入,手动配置,二维码分享等
This repository is an official implementation of the paper "LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection".
A modular graph-based Retrieval-Augmented Generation (RAG) system
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
Models, data loaders and abstractions for language processing, powered by PyTorch
🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+