#Edge-devices
Showing 7 of 7 repositories tagged #edge-devices, ranked by stars
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Deep learning gateway on Raspberry Pi and other edge devices
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.
The core runtime engine for Ambianic Edge devices.
The 30 MB open-source edge AI agent runtime. Run AI agents offline on Linux (Raspberry Pi, Jetson). GPIO, UART, MQTT as first-class nodes. Industrial protocols (OPC-UA, Modbus) on the roadmap.