Machine-Learning-deployment

production

Tools and methods to deploy ML models in production

How to download and setup Machine-Learning-deployment

Open terminal and run command

git clone https://github.com/clietar/Machine-Learning-deployment.git

git clone is used to create a copy or clone of Machine-Learning-deployment repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Machine-Learning-deployment https://github.com/clietar/Machine-Learning-deployment/archive/master.zip

Or simply clone Machine-Learning-deployment with SSH

[email protected]:clietar/Machine-Learning-deployment.git

If you have some problems with Machine-Learning-deployment

You may open issue on Machine-Learning-deployment support forum (system) here: https://github.com/clietar/Machine-Learning-deployment/issues

Similar to Machine-Learning-deployment repositories

Here you may see Machine-Learning-deployment alternatives and analogs

pm2 frontend rest-api-node-typescript dgraph awesome-sre checklist-going-live suite btcrelay awesome-linuxaudio redux-remotedev production-data-science Ableton-Live-tools keras-serving elm-companies bitnami-docker-node reactnative-android-production PredictionAPI go-production-checklist chomp-decomposition production_ml ToDoList laravel-conditional-providers pug-symfony Deep-Learning-in-Production wasserstoff React.ai epic stetho-no-op dotenv-flow drupalvm-live