edge-devices
There are 2 repositories under edge-devices topic.
- Language:Python 1594
microsoft / EdgeML
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Language:C++ 1545WisconsinAIVision / yolact_edge
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
Language:Python 1260JiahuiYu / slimmable_networks
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
Language:Python 904sacmehta / ESPNet
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Language:Python 534- deepC
ai-techsystems / deepC
vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
Language:C++ 530 macchina-io / macchina.io
macchina.io EDGE is a powerful C++ and JavaScript SDK for edge devices, multi-service IoT gateways and connected embedded systems.
Language:C++ 510YonghaoHe / LFD-A-Light-and-Fast-Detector
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.
Language:Python 416helmut-hoffer-von-ankershoffen / jetson
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.
Language:Python 205anupamkliv / FedERA
FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.
Language:Jupyter Notebook 111- ambianic-edge
ambianic / ambianic-edge
The core runtime engine for Ambianic Edge devices.
Language:Python 106 JaeBinCHA7 / Nested-U-Net-based-Real-time-Speech-Enhancement-Mobile-App
Real-time speech enhancement mobile app using Nested U-Net
Language:Python 35rkirkendall / MLEdgeDeploy
Automatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing
Language:Objective-C 26globus-labs / FLoX-prototype
Python library for serverless Federated Learning experiments.
Language:Python 15fangvv / EdgeKE
Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"
Language:Python 8sevakon / shallow-rnns
This repository is a PyTorch implementation of NIPS 2019 Paper "Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices"
Language:Python 8alihanyalcin / meta-edgex
Yocto Project meta layer for EdgeX Foundry Services
Language:PHP 7home-climate-control / hcc-esp32
Home Climate Control ESP32 based edge device firmware
Language:C++ 7- Edge_Computing
MohithGowdaHR / Edge_Computing
Edge Computing using Tensorflow Lite
Language:C 4 - Language:C 4
IBMStreams / streamsx.edgevideoanalytics.starterkit
An end-to-end video analytic demonstration performing video analytics on edge devices and centralized system
Language:Java 3polarize-ai / blog
Personal blog polarize.ai of Helmut Hoffer von Ankershoffen
Language:HTML 3Home Climate Control ESP8266 based edge device firmware
Language:C++ 2particleman14 / Transfer-Learning-Edge-Devices
A project utilizing transfer learning to create a custom object detection model that is deployed to an edge device.
Language:Jupyter Notebook 2SarthakGarg19 / Accelerating-Inference-in-Tensorflow-using-TensorRT
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!
Language:Jupyter Notebook 2spoluan / federated_learning_mnistdigit
Decentralized and Privacy-Preserving Machine Learning: Exploring the Power of Federated Learning.
Language:Jupyter Notebook 2mamoc-repos / MAMoC-Client
A framework for offloading parts of an Android mobile application to nearby Android mobile devices using Wifi-Direct , edge devices (cloudlets), and remote clouds
Language:Java 1izakariyya / testbed-fl-iot
Resource Efficient Federated Learning (Testbed Implementation)
Language:Python 0marinazhyga / RabbitMqSummit2021
Masstransit with fanout and direct exchanges
Language:C# 0zekaouinoureddine / COVID19KIT
Detect coronavirus in an automated way in x-ray images using COVID19KIT
Language:Java 0RATHOD-SHUBHAM / Roboflow_ModelDeployment
Deploy a secure, infinitely-scalable API for use in our workflow, accompanied by SDKs for use in working with common deployment devices.
Language:PythonThe-Assembly / IoTWeatherMonitor-With-Thingworx
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.
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