ML-MCU
Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
TinyML & Edge AI: On-device inference, model quantization, embedded ML, ultra-low-power AI for microcontrollers and IoT…
A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
High-performance analytical database. 19.9M records/sec ingestion, 8.4M+ rows/sec queries. Ingestion, compaction, SQL,…
IoT DC3 is a fully open-source, distributed industrial IoT platform built on Spring Cloud and evolving for AI scenarios…
☁️ Securely connect anything with WireGuard® and manage all your networks from a single place.
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework fo…
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with…
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inferen…
100% open-source IoT Platform - Integrate your devices, add intelligence, build custom apps
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