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Linux Deploy is a code project with source, releases, documentation, or setup notes.

Awesome Linux Minimalism is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Awesome Linux Ricing is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Deezer Linux

github.com

Deezer Linux is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

G-Helper Linux

github.com

G-Helper Linux is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

How to Secure a Linux Server is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Linux File Backup is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Linux Router

github.com

Linux Router is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Linux Server is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Linux WiFi Hotspot

github.com

Linux WiFi Hotspot is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Linux-Fake-Background-Webcam is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Linux-PowerToys is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Online-Fix Linux is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Teams for Linux

github.com

Teams for Linux is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.

Linux command reference with examples, explanations, flags, and practical command-line usage.

Issue tracking for the Steam for Linux beta client

Curated list of self-hostable SaaS ideas, deployment patterns, and tools for building independent web services.

Eurybia monitors data and model drift over time and securizes model deployment with data validation.

A hands-on course to train and deploy a serverless API that predicts crypto prices.

A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.

An Easy-to-Use and High-Performance AI deployment framework.

Tutorial on Python time-series model deployment.

Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.