jouker2k Goto Github PK

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

ai-deployment

关注AI模型上线、模型部署

ai-models-serialization

AI模型序列化总结

ai-predictivemaintenance

ambassador-auth-oidc

OpenID Connect AuthService for Ambassador API Gateway

animalrecognitiondemo

An example of using Redis Streams, RedisGears and RedisAI for Realtime Video Analytics (i.e. filtering cats)

argocd-example-apps

Example Apps to Demonstrate Argo CD

awesome-edge-machine-learning

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

backend-client

Python utility to interact remotely with node devices and gateways complaint with Wirepas' backend api. It also provides examples on to integrate and explore the public apis for Wirepas' Network Tool and Wirepas' Positioning Engine

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

cert-manager

Automatically provision and manage TLS certificates in Kubernetes

cert-manager-webhook-example

A cert-manager sample repository for creating an ACME DNS01 solver webhook

chatbotdemo

An example that showcases the benefit of running AI inside Redis

custom-vision-service-iot-edge-raspberry-pi

Sample showing how to deploy a AI model from the Custom Vision service to a Raspberry Pi 3 device using Azure IoT Edge

datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

deviceplane

Open source device management for embedded systems and edge computing

devops

DevOps scripts for Mainflux IoT platform

devopslab

Tekton + Knative hands on lab

docker-flask-mongodb-example

Uses docker compose with a python flask microservice and MongoDB instance to make a sample application

edge-computing

Awesome-EdgeComputing：边缘计算技术指南和资源列表

edge-intelligence

随着移动云计算和边缘计算的快速发展，以及人工智能的广泛应用，产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中，但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速神经网络的计算，例如剪枝、量化、卷积核分解等。但是这些技术在实际应用非常复杂，并且可能导致模型精度的下降。在移动云计算或边缘计算中，任务卸载技术可以突破移动终端的资源限制，减轻移动设备的计算负载并提高任务处理效率。通过任务卸载技术优化深度神经网络成为边缘智能研究中的新方向。Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge这篇文章提出了协同推断的**，将深度神经网络进行分区，一部分层在移动端计算，而另一部分在云端计算。根据硬件平台、无线网络以及服务器负载等因素实现动态分区，降低时延以及能耗。本项目给出了边缘智能方面的相关论文，并且给出了一个Python语言实现的卷积神经网络协同推断实验平台。关键词：边缘智能(Edge Intelligence)，计算卸载(Computing Offloading)，CNN模型分区(CNN Partition)，协同推断(Collaborative Inference)，移动云计算(Mobile Cloud Computing)

edgerealtimevideoanalytics

An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people)

edtunnel

Use Cloudflare pages and worker serverless to implement VLESS protocol

emojivoto

Example application to help demonstrate the Linkerd service mesh

emqx-chart

emqx kubernetes helm

emqx-deployments

EMQ MQTT borker - Docker & Kubernetes deyployment with auto cluster support.

emqx-k8s

Distributed MOSQUITTO BROKER in Kubernetes

emqx-k8s-cluster

emqx-k8s-cluster

emqxample

Simple example MQTT usage with EMQX