There are 0 repository under edge-devices topic.
Deep learning gateway on Raspberry Pi and other edge devices
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.
vendor independent 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.
Automatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing
Code for paper "Locally Distributed Deep Learning Inference on Edge Device Clusters"
This repository is a PyTorch implementation of NIPS 2019 Paper "Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices"
Yocto Project meta layer for EdgeX Foundry Services
Home Climate Control ESP32 based edge device firmware
An end-to-end video analytic demonstration performing video analytics on edge devices and centralized system
Personal blog polarize.ai of Helmut Hoffer von Ankershoffen
Edge Computing using Tensorflow Lite
TensorRT optimises any Deep Learning model by not only making it lightweight but also by accelerating its inference speed with an idea to extract every ounce of performance from the model, making it perfect to be deployed at the edge. This repository helps you convert any Deep Learning model from TensorFlow to TensorRT!
Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"
Home Climate Control ESP8266 based edge device firmware
A framework for offloading parts of an Android mobile application to nearby Android mobile devices using Wifi-Direct , edge devices (cloudlets), and remote clouds
Python library for serverless Federated Learning experiments.
A project utilizing transfer learning to create a custom object detection model that is deployed to an edge device.
COVID19KIT is an Android application, it can detect coronavirus in an automated way in x-ray images using the phone's camera or even by uploading an X-ray image from the gallery.
Oct 12th @ in5 - Hands-on Internet Of Things workshop with Etisalat Digital & PTC. At this session, we’ll take you step by step over the process of creating a modular IoT solution using the Etisalat Thingworx Platform to monitor weather conditions at various locations. We’ll show you how to sync data from edge devices and sensors onto the cloud in real time, model this data to fit business use cases and present it over the web using the platform’s easy-to-use UI building tools.