Topic: edge-devices Goto Github
Some thing interesting about edge-devices
Some thing interesting about edge-devices
edge-devices,vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
Organization: ai-techsystems
Home Page: https://cainvas.ai-tech.systems/
edge-devices,Yocto Project meta layer for EdgeX Foundry Services
User: alihanyalcin
edge-devices,The core runtime engine for Ambianic Edge devices.
Organization: ambianic
Home Page: https://ambianic.ai
edge-devices,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.
Organization: anupamkliv
Home Page: https://federa.readthedocs.io
edge-devices,Deep learning gateway on Raspberry Pi and other edge devices
Organization: dt42
edge-devices,Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"
User: fangvv
edge-devices,Python library for serverless Federated Learning experiments.
Organization: globus-labs
edge-devices,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.
User: helmut-hoffer-von-ankershoffen
Home Page: https://helmut.hoffer-von-ankershoffen.me
edge-devices,Home Climate Control ESP32 based edge device firmware
Organization: home-climate-control
edge-devices,Home Climate Control ESP8266 based edge device firmware
Organization: home-climate-control
edge-devices,An end-to-end video analytic demonstration performing video analytics on edge devices and centralized system
Organization: ibmstreams
edge-devices,Resource Efficient Federated Learning (Testbed Implementation)
User: izakariyya
Home Page: https://dl.acm.org/doi/abs/10.1007/978-3-031-21311-3_6
edge-devices,Real-time speech enhancement mobile app using Nested U-Net
User: jaebincha7
edge-devices,Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
User: jiahuiyu
edge-devices,macchina.io EDGE is a powerful C++ and JavaScript SDK for edge devices, multi-service IoT gateways and connected embedded systems.
Organization: macchina-io
Home Page: https://macchina.io
edge-devices,A framework for offloading parts of an Android mobile application to nearby Android mobile devices using Wifi-Direct , edge devices (cloudlets), and remote clouds
Organization: mamoc-repos
edge-devices,Masstransit with fanout and direct exchanges
User: marinazhyga
edge-devices,This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Organization: microsoft
edge-devices,Edge Computing using Tensorflow Lite
User: mohithgowdahr
edge-devices,A project utilizing transfer learning to create a custom object detection model that is deployed to an edge device.
User: particleman14
edge-devices,Personal blog polarize.ai of Helmut Hoffer von Ankershoffen
Organization: polarize-ai
Home Page: https://blog.polarize.ai
edge-devices,Hub for the Radlet IOT ecosystem
Organization: radlet
edge-devices,Deploy a secure, infinitely-scalable API for use in our workflow, accompanied by SDKs for use in working with common deployment devices.
User: rathod-shubham
Home Page: https://docs.roboflow.com/deploy/luxonis-oak
edge-devices,Automatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing
User: rkirkendall
edge-devices,ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
User: sacmehta
Home Page: https://sacmehta.github.io/ESPNet/
edge-devices,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!
User: sarthakgarg19
Home Page: https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html
edge-devices,This repository is a PyTorch implementation of NIPS 2019 Paper "Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices"
User: sevakon
edge-devices,Decentralized and Privacy-Preserving Machine Learning: Exploring the Power of Federated Learning.
User: spoluan
edge-devices,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.
User: the-assembly
edge-devices,The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
Organization: wisconsinaivision
edge-devices,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.
User: yonghaohe
edge-devices,Detect coronavirus in an automated way in x-ray images using COVID19KIT
User: zekaouinoureddine
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