Kubernetes Native Edge Computing Framework (project under CNCF)
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Updated
Jun 13, 2024 - Go
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.
Industrial IoT Messaging and Device Management Platform
Automated Azure Arc, Edge, and Platform environments
🚀 A fast WebAssembly interpreter and the most universal WASM runtime
Lightweight data stream processing engine for IoT edge
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.
Extend cloud computing, data and service seamlessly to edge devices.
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Deep learning gateway on Raspberry Pi and other edge devices
TinyML AI inference library
Collection of Intel device plugins for Kubernetes
An edge-native container management system for edge computing
A small form factor OpenShift/Kubernetes optimized for edge computing
macchina.io EDGE is a powerful C++ and JavaScript SDK for edge devices, multi-service IoT gateways and connected embedded systems.
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.
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