High-Performance server for NATS.io, the cloud and edge native messaging system.
🚀 全网效果最好的移动端【实时对话数字人】。 支持本地部署、多模态交互（语音、文本、表情），响应速度低于 1.5 秒，适用于直播、教学、客服、金融、政务等对隐私与实时性要求极高的场景。开箱即用，开发者友好。
#计算机科学#FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on a...
Olares: An Open-Source Personal Cloud to Reclaim Your Data
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
MicroPython for K210 RISC-V, let's play with edge AI easier
#计算机科学#Deep learning gateway on Raspberry Pi and other edge devices
DefraDB is a Peer-to-Peer Edge-First Database. It's the core data storage system for the Source Ecosystem, built with IPLD, LibP2P, CRDTs, and Semantic open web properties.
#计算机科学#speech to text benchmark framework
#安卓#Real-time portrait segmentation for mobile devices
#大语言模型#AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution acce...
#计算机科学#The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
On-Device Training Under 256KB Memory [NeurIPS'22]
#Awesome#A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
#计算机科学#Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers adva...
#计算机科学#A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
#大语言模型#💜 The best free Telegram bot for ChatGPT, Microsoft Copilot (aka Bing AI / Sidney / EdgeGPT), Microsoft Copilot Designer (aka BingImageCreator), Gemini and Groq with stream writing, requests with ima...
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.