Deep learning gateway on Raspberry Pi and other edge devices

Extend cloud computing, data and service seamlessly to edge devices.

TinyML AI inference library

Industrial IoT Messaging and Device Management Platform

A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Deploy app servers close to your users. Package your app as a Docker image, and launch it in 17 cities with one simple CLI.

OpenYurt - Extending your native Kubernetes to edge

macchina.io IoT Edge Device SDK is a powerful C++ and JavaScript SDK for edge devices, IoT gateways and connected embedded systems.

Tools to build connected systems you can trust.

A lightweight IoT edge analytics software

Securely access remote devices and servers

📸 A PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.

Haiway Edge Computing OS

The Linux Foundation's Open Glossary of Edge Computing project curates and defines terms related to the field of edge computing, collecting common and accepted definitions into an openly licensed repository.

A curated list of resources for embedded AI

Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer

Security camera with Raspberry pi and NVIDIA Jetson platforms

一个移动端跨平台的gpu+cpu并行计算的cnn框架(A mobile-side cross-platform gpu+cpu parallel computing CNN framework)

Simple document db made for infinitely scalable globally distributed reads.

Golang based Rules for Real-time Contextual Decisions

Source code for my blog post series "On-device training with Core ML"