Kubernetes Native Edge Computing Framework (project under CNCF)
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.
Plug and play modules to optimize the performances of your AI systems
Tiny and powerful JavaScript full-text search engine for browser and Node
Industrial IoT Messaging and Device Management Platform
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
Extend cloud computing, data and service seamlessly to edge devices.
Deep learning gateway on Raspberry Pi and other edge devices
TinyML AI inference library
OpenYurt - Extending your native Kubernetes to edge(project under CNCF)
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
ops - build and run nanos unikernels
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT
Deploy app servers close to your users. Package your app as a Docker image, and launch it in 17 cities with one simple CLI.
Header-only library for using Keras (TensorFlow) models in C++.
Lightweight data stream processing engine for IoT edge
An edge-native container management system for edge computing
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