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Kronos: A Foundation Model for the Language of Financial Markets
The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file infe…
Pannellum is a lightweight, free, and open source panorama viewer for the web.
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
🦜🔗 The platform for reliable agents.
No fortress, purely open ground. OpenManus is Coming.
SRS is a simple, high-efficiency, real-time media server supporting RTMP, WebRTC, HLS, HTTP-FLV, HTTP-TS, SRT, MPEG-DASH, and GB28181, with codec support for H.264, H.265, AV1, VP9, AAC, Opus, and …
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Implementation of popular deep learning networks with TensorRT network definition API
A C++ header-only HTTP/HTTPS server and client library
Tiny RDM (Tiny Redis Desktop Manager) - A modern, colorful, super lightweight Redis GUI client for Mac, Windows, and Linux.
This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
WEB VIDEO PLATFORM是一个基于GB28181-2016、部标808、部标1078标准实现的开箱即用的网络视频平台，负责实现核心信令与设备管理后台部分，支持NAT穿透，支持海康、大华、宇视等品牌的IPC、NVR接入。支持国标级联，支持将不带国标功能的摄像机/直播流/直播推流转发到其他国标平台。
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
The meta2d.js is real-time data exchange and interactive web 2D engine. Developers are able to build Web SCADA, IoT, Digital twins and so on. Meta2d.js是一个实时数据响应和交互的2d引擎，可用于Web组态，物联网，数字孪生等场景。
CodeGeeX2: A More Powerful Multilingual Code Generation Model
Images to inference with no labeling (use foundation models to train supervised models).
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.