I created a self hosted droplet procedure for smart time-series analytics Start your embedded journey with this recipe of 15 docker containers including nmon, netdata, portainer, dozzle, grafana, prometheus, node-exporter, mqtt-exporter, cadvisor, uptime-kuma, traefik, mysql, phpmyadmin, redis, mongodb
My Neural Network is open-sourced We all want to try AI for ideas we have, and we want to manipulate our trained models with a UI that helps us make decisions based on fact. We should securely submit new training data from multiple clients that contribute to the whole of your inferred intelligence space.
A neural network engine It's not what's next, it's what I'm doing now: I am currently creating an API app with websockets and; a persistent subscription to any MQTT broker like the one I just released. I am streaming real-time sensor (or otherwise) data into neural networks YOU create. The app integrates BrainJS, GraphQL,
demo Self hosted MQTT broker with Nodejs Demo for selfhosted-mqtt-broker-nodejs Open sourced: May 19, 2022 GitHub - nodejavascript/selfhosted-mqtt-broker-nodejs: Simple MQTT broker written in nodejs, local persistence, minimal stdout with docker.Simple MQTT broker written in nodejs, local persistence, minimal stdout with docker. - GitHub - nodejavascript/selfhosted-mqtt-broker-nodejs: Simple MQTT broker written in nodejs, local persistence...GitHubnodejavascriptConnection
