{"id":2943,"url":"https://github.com/mikeroyal/Debian-Guide","name":"Debian-Guide","description":"Debian Guide","projects_count":733,"last_synced_at":"2026-05-31T11:00:22.127Z","repository":{"id":62236439,"uuid":"337559323","full_name":"mikeroyal/Debian-Guide","owner":"mikeroyal","description":"Debian 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Tools","Flutter Tools","Game Development Learning Resources","DevOps Learning Resources","KDE Plasma Discover Software Center","Security Tools","AppImages","Databases and Tools","Essential Apps(depending on your workflow)","GameHub","Flutter Learning Resources","License","Tools","ML frameworks \u0026 applications","DevOps","Advanced Topics","Game Engines","Tools for Robotics","Game Streaming","Networking Learning Resources","Protocols","Kubernetes Learning Resources","Open Source Security Learning Resources","Virtualization","Database Learning Resources","Robotics Learning Resources","Security Standards, Frameworks and Benchmarks","Cloud Native Learning Resources","Augmented Reality (AR) \u0026 Virtual Reality (VR)","Online ML Learning Resources","Continuous Integration/Continuous Delivery","Flatpaks","Snaps","Steam","Game Emulators","Lutris","Performance Benchmarks","Privacy Learning Resources","Installing Pop Shell on Debian","Containers","Winetricks","Graphics Performance","Microservices","Wine"],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/107439772-7225c680-6ae7-11eb-90ae-05908496c8d1.png\"\u003e\n  \u003cbr /\u003e\n  Debian Guide\n\u003c/h1\u003e\n\n \u003ca href=\"https://github.com/mikeroyal?tab=followers\"\u003e\n         \u003cimg alt=\"followers\" title=\"Follow me for Updates\" src=\"https://custom-icon-badges.demolab.com/github/followers/mikeroyal?color=236ad3\u0026labelColor=1155ba\u0026style=for-the-badge\u0026logo=person-add\u0026label=Follow\u0026logoColor=white\"/\u003e\u003c/a\u003e \t\n\n![Maintenance](https://img.shields.io/maintenance/yes/2024?style=for-the-badge)\n![Last-Commit](https://img.shields.io/github/last-commit/mikeroyal/debian-guide?style=for-the-badge)\n\n#### A guide on setting up your Debian Desktop with all the essential Applications, Tools, and Games to make your experience with Debian great!\n\n**Note: You can easily convert this markdown file to a PDF in [VSCode](https://code.visualstudio.com/) using this handy extension [Markdown PDF](https://marketplace.visualstudio.com/items?itemName=yzane.markdown-pdf).**\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/145649408-39577f14-2bc8-48e8-871b-e68776941d80.png\"\u003e\n  \u003cbr /\u003e\n\u003c/p\u003e\n\n# Table of Contents\n\n1. [Getting Started](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#getting-started)\n\n2. [Getting Software](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#getting-software)\n\n3. [Gaming](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#gaming)\n\n4. [Game Development](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#game-development)\n\n5. [Setting up a macOS Workspace](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#setting-up-a-macos-workspace)\n\n6. [Setting up a Windows 10/11 Workspace](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#setting-up-a-windows-10-workspace)\n\n7. [Using Android and Android Apps on Linux](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#using-android-and-android-apps-on-linux)\n\n8. [Professional Audio/Video Editing](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#professional-audio--video-editing)\n\n9. [Kubernetes](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#kubernetes)\n\n10. [Machine Learning](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#machine-learning)\n\n11. [Robotics](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#robotics)\n\n12. [Open Source Security](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#open-source-security)\n\n13. [Differential Privacy](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#differential-privacy)\n\n14. [Cloud Native Development](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#cloud-native-development)\n\n15. [DevOps Development](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#devops-development)\n\n16. [Flutter Development](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#flutter-development)\n\n17. [Networking](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#networking)\n\n18. [Databases](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#databases)\n\n19. [GNOME Extensions](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#gnome-extensions)\n\n20. [Advanced Topics](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#advanced-topics)\n\n# Getting Started\n\n[Debian](https://www.debian.org/) is an operating system and a distribution of Free Software. It is maintained and updated through the work of many users who volunteer their time and effort.\n\n * [Debian GitLab](https://salsa.debian.org/explore/projects)\n\n * [Install Docker Engine on Debian](https://docs.docker.com/engine/install/debian/)\n\n * [Debian Wiki](https://wiki.debian.org/NetworkConfiguration)\n\n[Etcher](https://www.balena.io/etcher/) is an open source, cross-platform software that makes it easy to flash operating system images to a microSD card or USB device.\n \n\u003ch2 align=\"center\"\u003e\n \u003cimg src=\"https://github.com/mikeroyal/Debian-Guide/assets/45159366/427517c9-c6e7-4695-8a31-9623b305290c\"\u003e\n  \u003cbr /\u003e\n  Debian 12 Desktop\n\u003c/h2\u003e\n\n## Installing KDE Plasma on Debian\n\n```sh\nsudo apt install kde-plasma-desktop\n```\nOR\n\n```sh\nsudo apt install kde-standard\n```\n\u003ch1 align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/107439785-781ba780-6ae7-11eb-8900-d1ed0ee141a4.png\"\u003e\n  \u003cbr /\u003e\n  KDE Plasma Desktop on Debian\n\u003c/h1\u003e\n\n\n## Installing Pop Shell on Debian\n\n[Pop Shell](https://github.com/pop-os/shell) is a keyboard-driven layer for GNOME Shell which allows for quick and sensible navigation and management of windows. The core feature of Pop Shell is the addition of advanced tiling window management similar to i3wm.\n\nIn order to use Pop Shell your system must have the following applications installed.\n\n - GNOME Shell 3.36\n - TypeScript 3.8\n - GNU Make\n \n```sh\nsudo apt install node-typescript make\ngit clone https://github.com/pop-os/shell\ncd shell\n./rebuild.sh\n```\n\n## GNOME Tweaks\n\n```sh\nsudo apt install gnome-tweak-tool //let's you customize your desktop layout.\n```\n\n## Enable Firewall\n\n```sh\nsudo systemctl enable ufw\nsudo systemctl start ufw\n```\n# Getting Software\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n## GNOME Software Center\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/145691816-6445caec-5608-4022-bff2-353cfb728c66.png\"\u003e\n\n## KDE Plasma Discover Software Center\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/145691934-52154d53-2457-4226-be11-ee23d4520c74.png\"\u003e\n\n**Note 1: All this software is also available in other popular Linux distributions such as [Debian](https://www.debian.org/), [Linux Mint](https://linuxmint.com/), [elementary OS](https://elementary.io/), [Pop!_OS](https://pop.system76.com/), [Fedora](https://getfedora.org), [Manjaro Linux](https://manjaro.org/), [EndeavourOS](https://endeavouros.com/) and [Arch Linux](https://archlinux.org/).**\n\n**Note 2: For new users not comfortable with using the command-line checkout the Essential Apps section to get started. Also, if you scroll down further you'll see other easy ways to get software applications through Flathub, Snap Store, and AppImages.**\n\n\n## Essential Apps(depending on your workflow)\n\n[Google Chrome browser](https://www.google.com/chrome/)\n\n[Microsoft Edge browser](https://www.microsoftedgeinsider.com/en-us/download/?platform=linux)\n\n[Visual Studio Code](https://code.visualstudio.com/Download)\n\n[Microsoft Teams](https://www.microsoft.com/en-us/microsoft-teams/download-app)\n\n[Microsoft 365 with Office apps(formerly Office Online)](https://www.microsoft.com/en-us/microsoft-365/free-office-online-for-the-web)\n\n[Google Workspace (formerly G Suite)](https://workspace.google.com/)\n\n[Zoom](https://zoom.us/download?os=linux)\n\n[iCloud on Debian](https://snapcraft.io/install/icloud-for-linux/debian)\n\n[pCloud](https://www.pcloud.com/) is the secure cloud storage(like GoogleDrive), where you can store, share and work on all your files. You can access them on any device, anywhere you go.\n\n[Jitsi Meet](https://jitsi.org/jitsi-meet/) is a fully encrypted, 100% open source video conferencing solution.\n\n[Cisco Webex Web App](https://help.webex.com/en-us/n1pxgbz/Cisco-Webex-Web-App) is the web based version of Cisco Webex video conferencing solution. \n\n[Slack](https://slack.com/downloads/linux)\n\n[Trello](https://trello.com/platforms)\n\n[Skype](https://www.skype.com/en/get-skype/)\n\n[Discord](https://discord.com/download)\n\n[Spotify](https://www.spotify.com/us/download/linux/)\n\n[Apple Music(Web)](https://music.apple.com/) is the web app version of Apple Music that runs in Safari, Google Chrome and Mozilla Firefox.\n\n[Adobe Lighroom Online photo editor](https://lightroom.adobe.com) is an online web version of Adobe Photoshop Lightroom. Adobe account required to sign-in to app.\n\n[Adobe Spark(Web)](https://spark.adobe.com) is an application that let's you make cool Social Graphics, Short Videos, and Web Pages. Adobe account required to sign-in to app.\n\n[Photopea](https://www.photopea.com/) is an advanced online image editor supporting PSD, XCF, Sketch, XD and CDR formats. (Adobe Photoshop, GIMP, Sketch App, Adobe XD, CorelDRAW).\n\n[Master PDF Editor](https://code-industry.net/masterpdfeditor/) is straightforward, easy to use application for working with PDF documents equipped with powerful multi-purpose functionality. With Master PDF Editor you can easily view, create and modify PDF documents. \n\n[CrossOver Linux®](https://www.codeweavers.com/crossover) is a Microsoft Windows compatibility layer(based on [WINE(Wine Is Not an Emulator)](https://www.winehq.org)). The CrossOver compatibility layer enables thousands of Windows-based applications to run on Linux, macOS, or Chrome OS.\n\n[WinApps for Linux](https://github.com/Fmstrat/winapps) is a program that runs Windows apps such as Microsoft Office \u0026 Adobe in Linux (Ubuntu/Fedora) and GNOME/KDE as if they were a part of the native OS, including Nautilus integration for right clicking on files of specific mime types to open them.\n\n[DaVinci Resolve video editor](https://www.blackmagicdesign.com/products/davinciresolve/) is complete video editing solution that combines professional 8K editing, color correction, visual effects and audio post production all in one software tool.\n\n[Reaper Audio editor](https://www.reaper.fm/download.php) is a complete digital audio production application for computers, offering a full multitrack audio and MIDI recording, editing, processing, mixing and mastering toolset.\n\n[Flameshot](https://flameshot.org/) is a powerful yet simple to use screenshot software.\n\n[Timeshift](https://github.com/linuxmint/timeshift) for Linux is an application that provides functionality similar to the System Restore feature in Windows and the Time Machine tool in Mac OS. Timeshift protects your system by taking incremental snapshots of the file system at regular intervals. These snapshots can be restored at a later date to undo all changes to the system.\n\n[Stacer](https://github.com/oguzhaninan/Stacer) is an open source system optimizer and application monitor that helps users to manage their entire system. Also available as an AppImage.\n\n[Nativefier](https://github.com/nativefier/nativefier) is a command-line tool to easily create a desktop app for any web site with minimal configuration. Apps are wrapped by [Electron](https://www.electronjs.org/) (which uses Chromium under the hood) in an OS executable (.app, .exe, etc) for use on Windows, macOS and Linux.\n\n\n## App Outlet\n\n[App Outlet](https://app-outlet.github.io/) is a Universal application store(Flatpaks, Snaps, and AppImages) inspired by the Linux App Store online service.\n\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686354-0095c780-657f-11eb-892b-659d3252d6e7.png\"\u003e\n \n\n## Flatpaks\n\n```sh\nsudo apt install flatpak\nsudo apt install gnome-software-plugin-flatpak\n```\n\n[FlatHub](https://flathub.org/) is a build and distribution service for Flatpak applications.\n\n[FlatHub Forum](https://discourse.flathub.org/)\n\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686365-055a7b80-657f-11eb-9b58-1de28abe2e5b.png\"\u003e\n \n  ## Snaps\n  \n```sh\nsudo apt install snapd\nsudo apt install gnome-software-plugin-snap\n```\n\n[Snap Store](https://snapcraft.io/store) is a build and distribution service for Snap applications.\n\n[Snapcraft Forum](https://forum.snapcraft.io/)\n\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686375-08ee0280-657f-11eb-9918-5385d8c09148.png\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686378-0a1f2f80-657f-11eb-83aa-37ac96c7b032.png\"\u003e\n\n## AppImages\n\n[AppImageHub](https://www.appimagehub.com) is a build and distribution service for AppImage applications.\n\n[AppImage Manager](https://github.com/AppImageCrafters/appimage-manager) is a package manager for AppImages.\n\n[AppImage Forum](https://discourse.appimage.org/)\n\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686382-0b505c80-657f-11eb-9d74-9a94ec0d0693.png\"\u003e\n\n# Gaming\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n## Steam\n\n[Get Steam](https://store.steampowered.com/about/)\n\n**Or**\n\n```sh\nwget https://steamcdn-a.akamaihd.net/client/installer/steam.deb\n```\n[Proton](https://github.com/ValveSoftware/Proton/) is a tool for use with the Steam client which allows games which are exclusive to Windows to run on the Linux operating system. It uses Wine to facilitate this.\n\n## Enable Proton in Steam\n\n - Click on “Steam” then “Settings” to open the Settings window at the far-left corner.\n - On the “Settings” window, click on “Steam Play.” Ensure you check the “Enable Steam Play for supported files” and “Enable Steam Play for   all other titles” checkboxes. Lastly, select the Proton version you wish to use from the drop-down menu.\n \n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686402-13100100-657f-11eb-9012-6bdac264a808.png\"\u003e\n \n## ProtonDB\n\n[ProtonDB](https://www.protondb.com) is a collection of over 100,000 gaming reports from other gamers as they test games with Proton on Linux and provide aggregate scores of how well games perform. A growing pool of suggestions provides tweaks that you can try to get games working while Proton continues development. In addition to this, you may explore the Steam game catalog on this site to browse and discover a wide range of titles that were previously unavailable for use on Linux.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108773213-dcd8f800-7512-11eb-8775-19b0c8924d55.png\"\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108773214-dd718e80-7512-11eb-983b-ce192e5b30f2.png\"\u003e\n\u003c/p\u003e\n\n## Lutris\n\n[Lutris](https://lutris.net) is a gaming client for Linux. It gives you access to all your video games with the exception of the current console generation. Also, integrates nicely with other stores like GOG, Steam, Battle.net, Origin, Uplay and many other sources that allow you to import your existing game library and community maintained install scripts give you a completely automated setup.\n\n[Add Epic Games Store](https://lutris.net/games/epic-games-store/)\n\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686406-14412e00-657f-11eb-97c4-c80c6e25a374.png\"\u003e\n \n ## GameHub\n\n[GameHub](https://github.com/tkashkin/GameHub) is a unified library for all your games. It allows you to store your games from different platforms into one program to make it easier for you to manage your games.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/107862734-96451880-6e03-11eb-9b92-9d355b890083.png\"\u003e\n\n**GameHub supports:**\n\n - native games for Linux\n - **multiple compatibility layers:**\n   - Wine\n   - Proton\n   - [DOSBox](https://www.dosbox.com/)\n   - [RetroArch](https://store.steampowered.com/app/1118310/RetroArch/)\n   - [ScummVM](https://www.scummvm.org/)\n   - [WineWrap](https://www.gog.com/forum/general/adamhms_linux_wine_wrappers_news_faq_discussion/post1) — a set of preconfigured wrappers for [supported games](https://www.gog.com/forum/general/adamhms_linux_wine_wrappers_news_faq_discussion/post3);\n   - custom emulators\n\n - **multiple game platforms:**\n   - [Steam](https://store.steampowered.com/)\n   - [GOG](https://www.gog.com/)\n   - [Humble Bundle (including Humble Trove)](https://www.humblebundle.com/)\n   - [itch.io](https://itch.io/)\n\n## Game Streaming\n\n[Geforce NOW](https://www.nvidia.com/en-us/geforce-now/download/) use the **Chromebook version** to play all your games in Google Chrome or any Chromium-based web browser such as Brave, Vivaldi, and Microsoft Edge. Also, available as a Electron Desktop App in the [Snap store Geforce NOW](https://snapcraft.io/geforcenow).\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686391-0f7c7a00-657f-11eb-9d0b-1ebb4d385883.jpeg\"\u003e\n\n[Moonlight Game Streaming](https://moonlight-stream.org/) is a program that let you stream from your PC games over the Internet with no configuration required. Stream from almost any device, whether you're in another room or miles away from your gaming rig. \n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686398-11463d80-657f-11eb-841a-d534829ccc3d.png\"\u003e\n\n[Chiaki](https://git.sr.ht/~thestr4ng3r/chiaki) is a Free and Open Source Software Client for PlayStation 4 and PlayStation 5 Remote Play for Linux, FreeBSD, OpenBSD, Android, macOS, Windows, Nintendo Switch and potentially even more platforms.\n\n[Xbox Project xCloud](https://www.xbox.com/en-US/xbox-game-streaming/project-xcloud) is Microsoft's cloud-based Xbox game-streaming technology **(currently in Beta)**. **Play games like Forza Horizon 4, Halo 5: Guardians, Gears of War 4, Sea of Thieves, Cuphead, Red Dead Redemption 2, and 100+ other games on your mobile device or Chrome web browser**. Microsoft's Xbox Project xCloud does require an [Xbox Game Pass Ultimate](https://www.xbox.com/en-US/xbox-game-pass/cloud-gaming) subscription.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108111388-74d56e00-7049-11eb-8aeb-3e5d65f9e832.png\"\u003e\n\n## Game Emulators\n\n[RetroArch](https://www.retroarch.com/) is a frontend for emulators, game engines and media players. It enables you to run classic games on a wide range of computers and consoles through its slick graphical interface. Settings are also unified so configuration is done once and for all. \n\n[Dolphin](https://dolphin-emu.org) is an emulator for two recent Nintendo video game consoles: the GameCube and the Wii. It allows PC gamers to enjoy games for these two consoles in full HD (1080p) with several enhancements: compatibility with all PC controllers, turbo speed, networked multiplayer, and even more.\n\n[Citra](https://citra-emu.org/) is an open-source emulator for the Nintendo 3DS capable of playing many of your favorite games.\n\n[yuzu](https://yuzu-emu.org) is an experimental open-source emulator for the Nintendo Switch from the creators of Citra.\n\n[DOSBox](https://www.dosbox.com/) is an open-source DOS emulator which primarily focuses on running DOS Games.\n\n[MAME](https://www.mamedev.org/) is a Arcade Machine Emulator.\n\n[xemu](https://xemu.app/) is an original Xbox emulator.\n \n## Graphics Performance\n \n[GreenWithEnvy (GWE)](https://gitlab.com/leinardi/gwe) is a GTK system utility designed by Roberto Leinardi to provide information, control the fans and overclock your NVIDIA video card for better performance. Available in the Pop Shop as a Flatpak.\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/107091994-89974380-67b7-11eb-85ed-eedec7e3dfbf.png\"\u003e\n \n [CoreCtrl](https://gitlab.com/corectrl/corectrl) is a free and open source Linux application that allows you to control your computer hardware with ease using application profiles for native and Windows applications, has basic CPU controls and full AMD GPUs controls (for both old and new models). \n \n ```sh\n sudo add-apt-repository ppa:ernstp/mesarc\n sudo apt install corectrl\n```\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/107092000-8b610700-67b7-11eb-86f7-6fcb3d017cd0.png\"\u003e\n\n\n## Performance Benchmarks\n\n[Geekbench 5](https://www.geekbench.com/download/) is a cross-platform benchmark that measures your system's performance with the press of a button.\n\n[UNIGINE Superposition](https://benchmark.unigine.com/superposition) is an extreme performance and stability test for PC hardware: video card, power supply, cooling system.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/107092007-8f8d2480-67b7-11eb-9c3f-a0cb02e6dfcd.png\"\u003e\n \n## Wine\n\n[WINE(Wine Is Not an Emulator)](https://www.winehq.org) is a compatibility layer capable of running Windows applications on several POSIX-compliant operating systems, such as Linux, macOS, \u0026 BSD. Instead of simulating internal Windows logic like a virtual machine or emulator, Wine translates Windows API calls into POSIX calls on-the-fly, eliminating the performance and memory penalties of other methods and allowing you to cleanly integrate Windows applications into your desktop.\n\n## Winetricks\n\n[Winetricks](https://github.com/Winetricks/winetricks) is an easy way to work around problems in Wine.\n\nthis is needed to avoid adobeair error\n```sh\nsudo sed -i 's|echo \"\\${arg%%=\\*}\"=\\\\\"\"${arg### \\*=}\"\\\\\"|echo \\${arg%%=\\*}=\\\\\"\\${arg### \\*=}\\\\\"|g' /usr/local/bin/winetricks\nsudo apt install cabextract libncurses5:armhf\n```\n# Game Development\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n\u003ch1 align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/97361059-45151700-185c-11eb-9d12-dae51c79eb8a.png\"\u003e\n  \u003cbr /\u003e\n\u003c/h1\u003e\n\n\n## Game Engines\n\n[Unity](https://unity.com) is a cross-platform game development platform. Use Unity to build high-quality 3D and 2D games, deploy them across mobile, desktop, VR/AR, consoles or the Web, and connect with loyal and enthusiastic players and customers.\n\n[Unity Hub](https://unity3d.com/get-unity/download)\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/104788113-3432be00-5746-11eb-99b1-49360669f327.png\"\u003e\n\n\n[Unreal Engine 4](https://www.unrealengine.com) is a game engine developed by Epic Games with the world's most open and advanced real-time 3D creation tool. Continuously evolving to serve not only its original purpose as a state-of-the-art game engine, today it gives creators across industries the freedom and control to deliver cutting-edge content, interactive experiences, and immersive virtual worlds.\n\n[Linux Game Development on Unreal Engine 4](https://docs.unrealengine.com/en-US/SharingAndReleasing/Linux/BeginnerLinuxDeveloper/SettingUpAnUnrealWorkflow/index.html)\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/104788122-37c64500-5746-11eb-8f61-48a69b94582d.png\"\u003e\n\n\n[Godot Engine](https://godotengine.org) is a feature-packed, cross-platform game engine to create 2D and 3D games from a unified interface. It provides a comprehensive set of common tools, so that users can focus on making games without having to reinvent the wheel. Games can be exported in one click to a number of platforms, including the major desktop platforms (Linux, Mac OSX, Windows) as well as mobile (Android, iOS) and web-based (HTML5) platforms.\n\n[If you would like to Donate to the Godot Project](https://www.patreon.com/godotengine)\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/104788134-3f85e980-5746-11eb-94c4-d97165ee888b.jpeg\"\u003e\n\n\n[Blender](https://www.blender.org) is the free and open source 3D creation suite. It supports the entirety of the 3D pipeline—modeling, rigging, animation, simulation, rendering, compositing and motion tracking, video editing and 2D animation pipeline.\n\n[If you would like to Donate to the Blender Project](https://fund.blender.org/)\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/110991190-27d37780-8329-11eb-97b4-e3f204065779.png\"\u003e\n\n\n[Unigine](https://unigine.com) is a cross-platform game engine designed for development teams (C++/C# programmers, 3D artists) working on interactive 3D apps.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/110880414-70405600-8293-11eb-9c86-bb373017653a.png\"\u003e\n\n\n[GameMaker Studio 2](https://www.yoyogames.com/gamemaker) is the latest and greatest incarnation of GameMaker. It has everything you need to take your idea from concept to finished game. With no barriers to entry and powerful functionality, GameMaker Studio 2 is the ultimate 2D development environment.\n\n[Setting Up GameMaker Studio For Ubuntu](https://help.yoyogames.com/hc/en-us/articles/235186168-Setting-Up-For-Ubuntu)\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/104788147-44e33400-5746-11eb-879a-bc6239c98ce4.jpg\"\u003e\n\n\n## Tools\n\n[Panda3D](https://www.panda3d.org/) is a game engine, a framework for 3D rendering and game development for Python and C++ programs, developed by Disney and CMU. Panda3D is open-source and free for any purpose, including commercial ventures.\n\n[Source 2](https://developer.valvesoftware.com/wiki/Source_2) is a 3D video game engine in development by Valve as a successor to Source. It is used in Dota 2, Artifact, Dota Underlords, parts of The Lab, SteamVR Home, and Half-Life: Alyx.\n\n[Open Graphics Library(OpenGL)](https://www.opengl.org/) is an API used acrossed mulitple  programming languages and platforms for hardware-accelerated rendering of 2D/3D vector graphics currently developed by the [Khronos Group](https://www.khronos.org/).\n\n[Open Computing Language (OpenCL)](https://www.khronos.org/opencl/) is an open standard for [parallel programming](https://www.coursera.org/lecture/parprog1/introduction-to-parallel-computing-zNrIS) of heterogeneous platforms consisting of CPUs, GPUs, and other hardware accelerators found in supercomputers, cloud servers, personal computers, mobile devices and embedded platforms.\n\n[OpenGL Shading Language(GLSL)](https://www.khronos.org/opengl/wiki/Core_Language_(GLSL)) is a High Level Shading Language based on the C-style language, so it covers most of the features a user would expect with such a language.  Such as control structures (for-loops, if-else statements, etc) exist in GLSL, including the switch statement.\n\n[High Level Shading Language(HLSL)](https://docs.microsoft.com/en-us/windows/win32/direct3dhlsl/dx-graphics-hlsl) is the High Level Shading Language for DirectX. Using HLSL, the user can create C-like programmable shaders for the Direct3D pipeline. HLSL was first created with DirectX 9 to set up the programmable 3D pipeline. \n\n[Vulkan](https://www.khronos.org/vulkan/) is a modern cross-platform graphics and compute API that provides high-efficiency, cross-platform access to modern GPUs used in a wide variety of devices from PCs and consoles to mobile phones and embedded platforms. Vulkan is currently in development by the Khronos consortium. \n\n[MoltenVK](https://moltengl.com/moltenvk) is an implementation of Vulkan running on iOS and macOS using Apple's [Metal](https://developer.apple.com/metal/) graphics framework.\n\n[MoltenGL](https://moltengl.com) is an implementation of the OpenGL ES 2.0 API that runs on Apple's [Metal](https://developer.apple.com/metal/) graphics framework.\n\n[NVIDIA Omniverse](https://developer.nvidia.com/nvidia-omniverse-platform) is a powerful, multi-GPU, real-time simulation and collaboration platform for 3D production pipelines based on Pixar's Universal Scene Description and NVIDIA RTX.\n\n[HGIG](https://www.hgig.org/) is a volunteer group of companies from the game and TV display industries that meet to specify and make available for the public guidelines to improve consumer gaming experiences in HDR.\n\n[Three.js](https://threejs.org) is a cross-browser JavaScript library and application programming interface used to create and display animated 3D computer graphics in a web browser using WebGL. \n\n[Superpowers](http://superpowers-html5.com/) is a downloadable HTML5 app for real-time collaborative projects . You can use it solo like a regular offline game maker, or setup a password and let friends join in on your project through their Web browser. \n\n## Augmented Reality (AR) \u0026 Virtual Reality (VR)\n\n[SteamVR for Linux](https://github.com/ValveSoftware/SteamVR-for-Linux) is the ultimate tool for experiencing VR content on the hardware of your choice. SteamVR supports the Valve Index, HTC Vive, Oculus Rift, Windows Mixed Reality headsets, and others.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/110880418-71718300-8293-11eb-986e-1b1f8cb49112.png\"\u003e\n\u003cbr /\u003e\nSteamVR Home\n\u003c/p\u003e\n\n[OpenVR](https://github.com/ValveSoftware/openvr) is an API and runtime that allows access to VR hardware(Steam Index, HTC Vive, and Oculus Rift) from multiple vendors without requiring that applications have specific knowledge of the hardware they are targeting.\n\n[OpenVR Benchmark on Steam](https://store.steampowered.com/app/955610/OpenVR_Benchmark/) is the first benchmark tool for reproducibly testing your real VR performance, rendering inside of your VR headset. \n\n[OpenHMD](http://www.openhmd.net/) is open source API and drivers that supports a wide range of HMD(head-mounted display) devices such as Oculus Rift, HTC Vive, Sony PSVR, and others.\n\n[openXR](https://www.khronos.org/OpenXR/) is a free, open standard that provides high-performance access to Augmented Reality (AR) and Virtual Reality (VR) collectively known as XR—platforms and devices. \n\n[Monado](https://monado.dev/) is the first OpenXR™ runtime for GNU/Linux. Monado aims to jump-start development of an open source XR ecosystem and provide the fundamental building blocks for device vendors to target the GNU/Linux platform.\n\n[Libsurvive](https://github.com/cntools/libsurvive) is a set of tools and libraries that enable 6 dof tracking on lighthouse and vive based systems that is completely open source and can run on any device. It currently supports both SteamVR 1.0 and SteamVR 2.0 generation of devices and should support any tracked object commercially available.\n\n[Simula](https://github.com/SimulaVR/Simula) is a VR window manager for Linux that runs on top of Godot. It takes less than 1 minute to install. Simula is officially compatible with SteamVR headsets equipped with Linux drivers (e.g. HTC Vive, HTC Vive Pro, \u0026 Valve Index). We have also added experimental support to OpenXR headsets that have Monado drivers (e.g. North Star, OSVR HDK, and PSVR). Some people have gotten the Oculus Rift S to run Simula via OpenHMD ([see here](https://github.com/OpenHMD/OpenHMD/issues/225#issuecomment-638454156)).\n\n\n## Game Development Learning Resources\n\n[Unreal Online Learning](https://www.unrealengine.com/en-US/onlinelearning-courses) is a free learning platform that offers hands-on video courses and guided learning paths.\n\n[Unreal Engine Authorized Training Program](https://www.unrealengine.com/en-US/training-partners)\n\n[Unreal Engine for education](https://www.unrealengine.com/en-US/education/)\n\n[Unreal Engine Training \u0026 Simulation](https://www.unrealengine.com/en-US/industry/training-simulation)\n\n[Unity Certifications](https://unity.com/products/unity-certifications)\n\n[Getting Started with Vulkan](https://www.khronos.org/vulkan/)\n\n[Game Design Online Courses from Udemy](https://www.udemy.com/courses/Design/Game-Design/)\n\n[Game Design Online Courses from Skillshare](https://www.skillshare.com/browse/game-design)\n\n[Learn Game Design with Online Courses and Classes from edX](https://www.edx.org/learn/game-design)\n\n[Game Design Courses from Coursera](https://www.coursera.org/courses?query=game%20design)\n\n[Game Design and Development Specialization Course from Coursera](https://www.coursera.org/specializations/game-development)\n\n\n# Setting up a macOS workspace\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n**REQUIREMENTS**\n\n   - A modern Linux distribution\n   - QEMU \u003e 2.11.1\n   - A CPU with Intel VT-x / AMD SVM support is required\n   - A CPU with SSE4.1 support is required for \u003e= macOS Sierra\n   - A CPU with AVX2 support is required for \u003e= macOS Mojave\n   - Internet access for the installation process\n\n\n```sh\nOpen the terminal and run: \nsudo apt install qemu uml-utilities virt-manager dmg2img git wget libguestfs-tools p7zip\n```\n\n[Sosumi](https://snapcraft.io/install/sosumi/debian) is a app that let's you download and install macOS in a VM. App is based on [macOS-Simple-KVM](https://github.com/foxlet/macOS-Simple-KVM).\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/107092234-0fb38a00-67b8-11eb-9f30-f4d16545624b.png\"\u003e\n\n[OpenCore for macOS](https://dortania.github.io/OpenCore-Install-Guide/)\n\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/107092246-15a96b00-67b8-11eb-91fb-27494c7f1d4f.jpg\"\u003e\n \n# Setting up a Windows 10 workspace\n\n [Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n \n**REQUIREMENTS**\n\n   - A modern Linux distribution\n   - QEMU \u003e 2.11.1\n   - A CPU with Intel VT-x / AMD SVM support is required\n   - [WindowsGuestDrivers/Download Drivers - KVM](https://www.linux-kvm.org/page/WindowsGuestDrivers/Download_Drivers)\n   - Internet access for the installation process\n\n\n```sh\nOpen the terminal and run: \nsudo apt install qemu uml-utilities virt-manager gnome-boxes\n```\n\n[GNOME Boxes](https://wiki.gnome.org/Apps/Boxes) is an application that gives you access to virtual machines, running locally or remotely. It also allows you to connect to the display of a remote computer.\n\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/107092256-1cd07900-67b8-11eb-9ae9-f389045dad26.png\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/107093639-72a62080-67ba-11eb-8d88-477929a5516b.png\"\u003e\n \n [OpenCore for Windows 10](https://dortania.github.io/OpenCore-Install-Guide/)\n \n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/107092270-222dc380-67b8-11eb-82cc-d41e9e8a39e0.png\"\u003e\n\n# Using Android and Android Apps on Linux\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n[Android Studio](https://developer.android.com/studio/) is the development suite for Google's Android Operating System(OS). It's built on [JetBrains IntelliJ IDEA](https://www.jetbrains.com/idea/) software and designed specifically for Android development. It is available for download on Windows, macOS and Linux.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108637349-29530380-743f-11eb-8c61-549064b7d80b.png\"\u003e\n\u003c/p\u003e\n\n[Android Virtual Device (AVD)](https://developer.android.com/studio/run/managing-avds) is a configuration in [Android Studio](https://developer.android.com/studio/intro) that defines the characteristics of an Android phone, tablet, Wear OS, Android TV, or Automotive OS device that you want to simulate in the Android Emulator. The [Android Emulator](https://developer.android.com/studio/run/emulator) simulates Android devices on your computer so that you can test your application on a variety of devices and Android API levels without needing to have each physical device.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108637365-2c4df400-743f-11eb-8265-c07faab3523f.png\"\u003e\n\u003c/p\u003e\n\n[LineageOS](https://lineageos.org/) is a free and open-source operating system for various devices, based on the Android mobile platform.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108647222-f0ca1e80-746c-11eb-8e55-0e9808bb24fc.png\"\u003e\n\u003c/p\u003e\n\n[Anbox](https://anbox.io/) is an application that provides a container-based approach to boot a full Android system on a regular GNU/Linux system like Ubuntu, Debian Fedora, and openSUSE.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108637384-34a62f00-743f-11eb-9edc-83267a673b38.png\"\u003e\n\u003c/p\u003e\n\n[Anbox Cloud](https://anbox-cloud.io/) is the mobile cloud computing platform delivered by Canonical. Run Android in the cloud, at high scale and on any type of hardware.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108637983-efcfc780-7441-11eb-80fc-b3d1612593ca.png\"\u003e\n\u003c/p\u003e\n\n[Genymotion](https://www.genymotion.com/) is a very fast Android emulator. The program itself is based on VirtualBox and is known for its effectively fast speed and is usefulness for running Android apps on a Windows, Mac and Linux desktop.\n\n**Desktop**\n\nLocal virtual devices with high performances.\n\n - Emulate a wide range of virtual device configurations (Android versions, screen size, hardware capacities, etc.)\n - Simulate multiple scenarios thanks to our full set of hardware sensors (GPS, network, multitouch, etc.)\n - Cross-platform: Windows, Mac and Linux\n - Manipulate easily with ADB\n - $412 per year for employees in a company (BUSINESS). All features, advanced support.\n - $136 per year for freelancers (INDIE). All features, best effort support.\n - [Free](https://www.genymotion.com/download/) for personal use only (learning \u0026 entertainment). Limited features, no support.\n \n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108637388-37a11f80-743f-11eb-9f37-6e22e1172f2d.png\"\u003e\n\u003c/p\u003e\n\n[Scrcpy](https://github.com/Genymobile/scrcpy) is an application by Genymotion that provides display and control of Android devices connected on USB (or over TCP/IP). It does not require any root access and works on GNU/Linux, Windows and macOS. The Android device requires at least API 21 (Android 5.0).\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108637389-396ae300-743f-11eb-971a-f5b554033552.jpg\"\u003e\n\u003c/p\u003e\n\n# Professional Audio \u0026 Video Editing\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108773208-dba7cb00-7512-11eb-8fd0-2d009dbfc729.png\"\u003e\n\u003c/p\u003e\n\n\n[H.264(AVC)](https://en.wikipedia.org/wiki/H.264/MPEG-4_AVC) is a video compression standard based on block-oriented and motion-compensated integer-DCT coding that defines multiple profiles (tools) and levels (max bitrates and resolutions) with support up to 8K.\n\n[H.265(HEVC)](https://en.wikipedia.org/wiki/High_Efficiency_Video_Coding) is a video compression standard that is the successor to H.264(AVC). It offers a 25% to 50% better data compression at the same level of video quality, or improved video quality at the same bit-rate.\n\n[FFmpeg](https://ffmpeg.org) is a leading multimedia framework that can decode, encode, transcode, mux, demux, stream, filter and play pretty much anything that humans and machines have created. It supports the most obscure ancient formats up to the cutting edge ones on multiple platforms such as Windows, macOS, and Linux.\n\n[HandBrake](https://handbrake.fr/) is a tool for transcoding video from almost any format with a selection of widely supported codecs. It is supported on Window, macOS, and Linux.\n \n[Dynamic Adaptive Streaming over HTTP (DASH)](https://developer.mozilla.org/en-US/docs/Web/HTML/DASH_Adaptive_Streaming_for_HTML_5_Video) is an adaptive streaming protocol that allows for a video stream to switch between bit rates on the basis of network performance, in order to keep a video playing.\n\n[OpenMAX™](https://www.khronos.org/openmax/) is a cross-platform API that provides comprehensive streaming media codec and application portability by enabling accelerated multimedia components to be developed, integrated and programmed across multiple operating systems and silicon platforms.\n\n[DaVinci Resolve](https://www.blackmagicdesign.com/products/davinciresolve/) is the world’s only solution that combines professional 8K editing, color correction, visual effects and audio post production all in one software tool! You can instantly move between editing, color, effects, and audio with a single click. DaVinci Resolve Studio is also the only solution designed for multi user collaboration so editors, assistants, colorists, VFX artists and sound designers can all work live on the same project at the same time.\n\n[Blender](https://www.blender.org/features/video-editing/) comes with a built-in video sequence editor allows you to perform basic actions like video cuts and splicing, as well as more complex tasks like video masking or color grading. The Video Editor includes: Live preview, luma waveform, chroma vectorscope and histogram displays. Audio mixing, syncing, scrubbing and waveform visualization.\n\n[Kdenlive](https://kdenlive.org/en/) is an open source video editing tool that supports unlimited multimedia files. It's based on the MLT Framework, KDE and Qt. People who are looking for a very versatile video editing tool that comes packed with features. The latest 20.08 release is out with nifty features like Interface Layouts, Multiple Audio Stream support, Cached data management and Zoombars in the Clip Monitor and Effects Panel but one may argue that the highlights of this release are stability and interface improvements.\n\n[OpenShot](https://www.openshot.org/) is an open-source video editing tool that's designed for users new in the editing environment. It has simple features such as a simple drag-and-drop function, it provides an easy-to-use and quick-to-learn user interface. The powerful video editor offers tons of efficient ways to cut and trim down your videos. You can freely utilize the unlimited tracks, video effects engine, title editor, 3D animations, slow motion, and time effects. It supports commonly used video codecs that are supported by FFmpeg like WebM (VP9), AVCHD (libx264), HEVC (libx265) and audio codecs like mp3 (libmp3lame) and aac (libfaac). The program can render MPEG4, ogv, Blu-ray and DVD video, and Full HD videos for uploading to the internet video websites like YouTube.\n\n[Lightworks](https://www.lwks.com/) is a non-linear video editing appluication for editing and mastering digital video used by the film industry. Its professional edition has been used for box office hits, such as Shutter Island, Pulp Fiction, and Mission Impossible. Intimidating user interface. Like professional video editors, such as Adobe Premiere Pro, Lightworks is rather complicated to use for new users.\n\n[Shotcut](https://www.shotcut.org/) is an open source multi-platform video editor. You can perform various actions such as video editing (including 4K video quality), add effects, create new movies, import most image files formats, export to almost any file format and much more.\n\n[Olive](https://www.olivevideoeditor.org) is a free non-linear video editor aiming to provide a fully-featured alternative to high-end professional video editing software.\n\n[Natron](https://natrongithub.github.io/) is a powerful Digital Compositor that can handle all of your 2D/2.5D needs. Its robust OIIO file formats and OpenFX architecture is what make Natron the most flexible open source compositor for the visual effects community. Its interface and functionally are the same across all platforms such as MacOS, Linux and Windows.\n\n[OBS (Open Broadcaster Software)](https://obsproject.com/) is free and open source software for video recording and live streaming. Stream to Twitch, YouTube and many other providers or record your own videos with high quality H264 / AAC encoding.\n\n[REAPER](https://www.reaper.fm/) is a complete digital audio production application for computers, offering a full multitrack audio and MIDI recording, editing, processing, mixing and mastering toolset.REAPER supports a vast range of hardware, digital formats and plugins, and can be comprehensively extended, scripted and modified. \n\n[JACK Audio Connection Kit AKA JACK](https://jackaudio.org/) is a professional sound server daemon that provides real-time, low-latency connections for both audio and MIDI data between applications that implement its API. JACK can be configured to send audio data over a network to a \"master\" machine, which then outputs the audio to a physical device. This can be useful to mix audio from a number of \"slave\" computers without requiring additional cables or hardware mixers, and keeping the audio path digital for as long as possible.\n\n[Bitwig Studio](https://www.bitwig.com) is a digital audio workstation that has linear and non-linear workflows for sound design, recording, live performance, and more. Along with 90+ instruments, effects, and other creative tools. It is supported Windows, macOS, and Linux.\n\n[PipeWire](https://pipewire.org) is a server and user space API to deal with multimedia pipelines.It provides a low-latency, graph based processing engine on top of audio and video devices that can be used to support the use cases currently handled by both pulseaudio and JACK. PipeWire was designed with a powerful security model that makes interacting with audio and video devices from containerized applications easy. Nodes in the graph can be implemented as separate processes, communicating with sockets and exchanging multimedia content using fd passing.\n\n[Yabridge](https://github.com/robbert-vdh/yabridge) is a modern and transparent way to use Windows VST2 and VST3 plugins on Linux. Yabridge seamlessly supports using both 32-bit and 64-bit Windows VST2 and VST3 plugins in a 64-bit Linux VST host as if they were native VST2 and VST3 plugins, with optional support for [plugin groups](https://github.com/robbert-vdh/yabridge#plugin-groups) to enable inter-plugin communication for VST2 plugins and quick startup times. \n\n[Sonobus](https://sonobus.net) is an easy to use application for streaming high-quality, low-latency peer-to-peer audio between devices over the internet or a local network.\n\n[Avid Pro Tools](https://www.avid.com/pro-tools) is an industry standard audio-production software for songwriters, musicians, producers, and engineers.\n\n[LMMS](https://lmms.io/) is an open source digital audio workstation application program. When LMMS is pairedr with appropriate computer hardware, it allows music to be produced by arranging samples, synthesizing sounds, playing on a MIDI keyboard, and combining the features of trackers and sequencers. Developed by Paul Giblock and Tobias Junghans, this program stands for \"Linux MultiMedia Studio\" and supports handy plugins that enables it to work on different operating systems.\n\n[Ardour](http://ardour.org/) is an open source, collaborative effort of a worldwide team including musicians, programmers, and professional recording engineers. Development is transparent — anyone can watch our work as it happens. Like a good piece of vintage hardware, you can open the box and look inside.\n\n[Audacity](https://www.audacityteam.org/) is an easy-to-use, multi-track audio editor and recorder for Windows, Mac OS X, GNU/Linux and other operating systems. Developed by a group of volunteers as open source and offered free of charge. Amazing support community.\n\n[Glimpse](https://glimpse-editor.github.io/) is a cross-platform raster graphics editor based on the GNU Image Manipulation Program available for Linux, MacOS, and Windows. A great tool for making YouTube video thumbnails.\n\n# Kubernetes\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/95383873-a884d800-08a0-11eb-8eaf-57af5b119f56.png\"\u003e\n\u003c/p\u003e\n\n[Kubernetes (K8s)](https://kubernetes.io/) is an open-source system for automating deployment, scaling, and management of containerized applications.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/105645195-db9ea780-5e4e-11eb-8357-fb38b2f06d74.png\"\u003e\n\n**Building Highly-Availability(HA) Clusters with kubeadm. Source: [Kubernetes.io](https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/high-availability/), 2020**\n\u003c/p\u003e\n\n[Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine/) is a managed, production-ready environment for running containerized applications.\n\n[Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-us/services/kubernetes-service/) is serverless Kubernetes, with a integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.\n\n[Amazon EKS](https://docs.aws.amazon.com/eks/latest/userguide/what-is-eks.html) is a tool that runs Kubernetes control plane instances across multiple Availability Zones to ensure high availability.\n\n[AWS Controllers for Kubernetes (ACK)](https://aws.amazon.com/blogs/containers/aws-controllers-for-kubernetes-ack/) is a new tool that lets you directly manage AWS services from Kubernetes. ACK makes it simple to build scalable and highly-available Kubernetes applications that utilize AWS services.\n\n[Container Engine for Kubernetes (OKE)](https://www.oracle.com/cloud-native/container-engine-kubernetes/) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute.\n\n[Anthos](https://cloud.google.com/anthos/docs/concepts/overview) is a modern application management platform that provides a consistent development and operations experience for cloud and on-premises environments.\n\n[Red Hat Openshift](https://www.openshift.com/) is a fully managed Kubernetes platform that provides a foundation for on-premises, hybrid, and multicloud deployments. \n\n[OKD](https://okd.io/) is a community distribution of Kubernetes optimized for continuous application development and multi-tenant deployment. OKD adds developer and operations-centric tools on top of Kubernetes to enable rapid application development, easy deployment and scaling, and long-term lifecycle maintenance for small and large teams.\n\n[Odo](https://odo.dev/) is a fast, iterative, and straightforward CLI tool for developers who write, build, and deploy applications on Kubernetes and OpenShift.\n\n[Kata Operator](https://github.com/openshift/kata-operator) is an operator to perform lifecycle management (install/upgrade/uninstall) of [Kata Runtime](https://katacontainers.io/) on Openshift as well as Kubernetes cluster.\n\n[Thanos](https://thanos.io/) is a set of components that can be composed into a highly available metric system with unlimited storage capacity, which can be added seamlessly on top of existing Prometheus deployments.\n\n[OpenShift Hive](https://github.com/openshift/hive) is an operator which runs as a service on top of Kubernetes/OpenShift. The Hive service can be used to provision and perform initial configuration of OpenShift 4 clusters.\n\n[Rook](https://rook.io/) is a tool that turns distributed storage systems into self-managing, self-scaling, self-healing storage services. It automates the tasks of a storage administrator: deployment, bootstrapping, configuration, provisioning, scaling, upgrading, migration, disaster recovery, monitoring, and resource management.\n\n[VMware Tanzu](https://tanzu.vmware.com/tanzu) is a centralized management platform for consistently operating and securing your Kubernetes infrastructure and modern applications across multiple teams and private/public clouds.\n\n[Kubespray](https://kubespray.io/) is a tool that combines Kubernetes and Ansible to easily install Kubernetes clusters that can be deployed on [AWS](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/aws.md), GCE, [Azure](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/azure.md), [OpenStack](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/openstack.md), [vSphere](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/vsphere.md), [Packet](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/packet.md) (bare metal), Oracle Cloud Infrastructure (Experimental), or Baremetal.\n\n[KubeInit](https://github.com/kubeinit/kubeinit) provides Ansible playbooks and roles for the deployment and configuration of multiple Kubernetes distributions.\n\n[Rancher](https://rancher.com/) is a complete software stack for teams adopting containers. It addresses the operational and security challenges of managing multiple Kubernetes clusters, while providing DevOps teams with integrated tools for running containerized workloads.\n\n[K3s](https://github.com/rancher/k3s) is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. \n\n[Helm](https://helm.sh/) is a Kubernetes Package Manager tool that makes it easier to install and manage Kubernetes applications.\n\n[Knative](https://knative.dev/) is a Kubernetes-based platform to build, deploy, and manage modern serverless workloads. Knative takes care of the operational overhead details of networking, autoscaling (even to zero), and revision tracking. \n\n[KubeFlow](https://www.kubeflow.org/) is a tool dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable.\n\n[Etcd](https://etcd.io/) is a distributed key-value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines. Etcd is used as the backend for service discovery and stores cluster state and configuration for Kubernetes.\n\n[OpenEBS](https://openebs.io/) is a Kubernetes-based tool to create stateful applications using Container Attached Storage.\n\n[Container Storage Interface (CSI)](https://www.architecting.it/blog/container-storage-interface/) is an API that lets container orchestration platforms like Kubernetes seamlessly communicate with stored data via a plug-in.\n\n[MicroK8s](https://microk8s.io/) is a tool that delivers the full Kubernetes experience. In a Fully containerized deployment with compressed over-the-air updates for ultra-reliable operations. It is supported on Linux, Windows, and MacOS.\n\n[Charmed Kubernetes](https://ubuntu.com/kubernetes/features) is a well integrated, turn-key, conformant Kubernetes platform, optimized for your multi-cloud environments developed by Canonical.\n\n[Grafana Kubernetes App](https://grafana.com/grafana/plugins/grafana-kubernetes-app) is a toll that allows you to monitor your Kubernetes cluster's performance. It includes 4 dashboards, Cluster, Node, Pod/Container and Deployment. It allows for the automatic deployment of the required Prometheus exporters and a default scrape config to use with your in cluster Prometheus deployment.\n\n[KubeEdge](https://kubeedge.io/en/) is an open source system for extending native containerized application orchestration capabilities to hosts at Edge.It is built upon kubernetes and provides fundamental infrastructure support for network, app. deployment and metadata synchronization between cloud and edge.\n\n[Lens](https://k8slens.dev/)  is the most powerful IDE for people who need to deal with Kubernetes clusters on a daily basis. It has support for MacOS, Windows and Linux operating systems.\n\n[kind](https://kind.sigs.k8s.io/) is a tool for running local Kubernetes clusters using Docker container “nodes”. It was primarily designed for testing Kubernetes itself, but may be used for local development or CI.\n\n[Flux CD](https://fluxcd.io/) is a tool that automatically ensures that the state of your Kubernetes cluster matches the configuration you've supplied in Git. It uses an operator in the cluster to trigger deployments inside Kubernetes, which means that you don't need a separate continuous delivery tool.\n\n## Kubernetes Learning Resources\n\n[Getting Kubernetes Certifications](https://training.linuxfoundation.org/certification/catalog/?_sft_technology=kubernetes)\n\n[Getting started with Kubernetes on AWS](https://aws.amazon.com/kubernetes/)\n\n[Kubernetes on Microsoft Azure](https://azure.microsoft.com/en-us/topic/what-is-kubernetes/)\n\n[Intro to Azure Kubernetes Service](https://docs.microsoft.com/en-us/azure/aks/kubernetes-dashboard)\n\n[Getting started with Google Cloud](https://cloud.google.com/learn/what-is-kubernetes)\n\n[Getting started with Kubernetes on Red Hat](https://www.redhat.com/en/topics/containers/what-is-kubernetes)\n\n[Getting started with Kubernetes on IBM](https://www.ibm.com/cloud/learn/kubernetes)\n\n[YAML basics in Kubernetes](https://developer.ibm.com/technologies/containers/tutorials/yaml-basics-and-usage-in-kubernetes/)\n\n[Elastic Cloud on Kubernetes](https://www.elastic.co/elastic-cloud-kubernetes)\n\n[Docker and Kubernetes](https://www.docker.com/products/kubernetes)\n\n[Deploy a model to an Azure Kubernetes Service cluster](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-azure-kubernetes-service?tabs=python)\n\n[Simplify Machine Learning Inference on Kubernetes with Amazon SageMaker Operators](https://aws.amazon.com/blogs/machine-learning/simplify-machine-learning-inference-on-kubernetes-with-amazon-sagemaker-operators/)\n\n[Running Apache Spark on Kubernetes](http://spark.apache.org/docs/latest/running-on-kubernetes.html)\n\n[Kubernetes Across VMware vRealize Automation](https://blogs.vmware.com/management/2019/06/kubernetes-across-vmware-cloud-automation-services.html)\n\n[VMware Tanzu Kubernetes Grid](https://tanzu.vmware.com/kubernetes-grid)\n\n[All the Ways VMware Tanzu Works with AWS](https://tanzu.vmware.com/content/blog/all-the-ways-vmware-tanzutm-works-with-aws)\n\n[VMware Tanzu Education](https://tanzu.vmware.com/education)\n\n[Using Ansible in a Cloud-Native Kubernetes Environment](https://www.ansible.com/blog/how-useful-is-ansible-in-a-cloud-native-kubernetes-environment)\n\n[Managing Kubernetes (K8s) objects with Ansible](https://docs.ansible.com/ansible/latest/collections/community/kubernetes/k8s_module.html)\n\n[Setting up a Kubernetes cluster using Vagrant and Ansible](https://kubernetes.io/blog/2019/03/15/kubernetes-setup-using-ansible-and-vagrant/)\n\n[Running MongoDB with Kubernetes](https://www.mongodb.com/kubernetes)\n\n[Kubernetes Fluentd](https://docs.fluentd.org/v/0.12/articles/kubernetes-fluentd)\n\n[Understanding the new GitLab Kubernetes Agent](https://about.gitlab.com/blog/2020/09/22/introducing-the-gitlab-kubernetes-agent/)\n\n[Kubernetes Contributors](https://www.kubernetes.dev/)\n\n[KubeAcademy from VMware](https://kube.academy/)\n\n\n# Machine Learning\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108111395-756e0480-7049-11eb-85ca-b87315e9d3ef.jpeg\"\u003e\n\n## ML frameworks \u0026 applications\n\n[TensorFlow](https://www.tensorflow.org) is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.\n\n[Tensorman](https://github.com/pop-os/tensorman) is a utility for easy management of Tensorflow containers by developed by [System76]( https://system76.com).Tensorman allows Tensorflow to operate in an isolated environment that is contained from the rest of the system. This virtual environment can operate independent of the base system, allowing you to use any version of Tensorflow on any version of a Linux distribution that supports the Docker runtime.\n\n[Keras](https://keras.io) is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.It was developed with a focus on enabling fast experimentation. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, or PlaidML.\n\n[PyTorch](https://pytorch.org) is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds. Primarily developed by Facebook's AI Research lab.\n\n[Amazon SageMaker](https://aws.amazon.com/sagemaker/) is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.\n\n[Azure Databricks](https://azure.microsoft.com/en-us/services/databricks/) is a fast and collaborative Apache Spark-based big data analytics service designed for data science and data engineering. Azure Databricks, sets up your Apache Spark environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn.\n\n[Microsoft Cognitive Toolkit (CNTK)](https://docs.microsoft.com/en-us/cognitive-toolkit/) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers.\n\n[Apache Airflow](https://airflow.apache.org) is an open-source workflow management platform created by the community to programmatically author, schedule and monitor workflows. Install. Principles. Scalable. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity.\n\n[Open Neural Network Exchange(ONNX)](https://github.com/onnx) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.\n\n[Apache MXNet](https://mxnet.apache.org/) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. Support for Python, R, Julia, Scala, Go, Javascript and more.\n\n[AutoGluon](https://autogluon.mxnet.io/index.html) is toolkit for Deep learning that automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy deep learning models on tabular, image, and text data.\n\n[Anaconda](https://www.anaconda.com/) is a very popular Data Science platform for machine learning and deep learning that enables users to develop models, train them, and deploy them.\n\n[PlaidML](https://github.com/plaidml/plaidml) is an advanced and portable tensor compiler for enabling deep learning on laptops, embedded devices, or other devices where the available computing hardware is not well supported or the available software stack contains unpalatable license restrictions.\n\n[OpenCV](https://opencv.org) is a highly optimized library with focus on real-time computer vision applications. The C++, Python, and Java interfaces support Linux, MacOS, Windows, iOS, and Android.\n\n[Scikit-Learn](https://scikit-learn.org/stable/index.html) is a Python module for machine learning built on top of SciPy, NumPy, and matplotlib, making it easier to apply robust and simple implementations of many popular machine learning algorithms.\n\n[Weka](https://www.cs.waikato.ac.nz/ml/weka/) is an open source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. It is widely used for teaching, research, and industrial applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes such as scikit-learn, R, and Deeplearning4j. \n\n[Caffe](https://github.com/BVLC/caffe) is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.\n\n[Theano](https://github.com/Theano/Theano) is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently including tight integration with NumPy.\n\n[nGraph](https://github.com/NervanaSystems/ngraph) is an open source C++ library, compiler and runtime for Deep Learning. The nGraph Compiler aims to accelerate developing AI workloads using any deep learning framework and deploying to a variety of hardware targets.It provides the freedom, performance, and ease-of-use to AI developers.\n\n[NVIDIA cuDNN](https://developer.nvidia.com/cudnn) is a GPU-accelerated library of primitives for [deep neural networks](https://developer.nvidia.com/deep-learning). cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN accelerates widely used deep learning frameworks, including [Caffe2](https://caffe2.ai/), [Chainer](https://chainer.org/), [Keras](https://keras.io/), [MATLAB](https://www.mathworks.com/solutions/deep-learning.html), [MxNet](https://mxnet.incubator.apache.org/), [PyTorch](https://pytorch.org/), and [TensorFlow](https://www.tensorflow.org/).\n\n[Jupyter Notebook](https://jupyter.org/) is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Jupyter is used widely in industries that do data cleaning and transformation, numerical simulation, statistical modeling, data visualization, data science, and machine learning.\n\n[Apache Spark](https://spark.apache.org/) is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.\n\n[Apache Spark Connector for SQL Server and Azure SQL](https://github.com/microsoft/sql-spark-connector) is a high-performance connector that enables you to use transactional data in big data analytics and persists results for ad-hoc queries or reporting. The connector allows you to use any SQL database, on-premises or in the cloud, as an input data source or output data sink for Spark jobs.\n\n[Apache PredictionIO](https://predictionio.apache.org/) is an open source machine learning framework for developers, data scientists, and end users. It supports event collection, deployment of algorithms, evaluation, querying predictive results via REST APIs. It is based on scalable open source services like Hadoop, HBase (and other DBs), Elasticsearch, Spark and implements what is called a Lambda Architecture.\n\n[Cluster Manager for Apache Kafka(CMAK)](https://github.com/yahoo/CMAK) is a tool for managing [Apache Kafka](https://kafka.apache.org/) clusters.\n\n[BigDL](https://bigdl-project.github.io/) is a distributed deep learning library for Apache Spark. With BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Spark or Hadoop clusters.\n\n[Koalas](https://pypi.org/project/koalas/) is project makes data scientists more productive when interacting with big data, by implementing the pandas DataFrame API on top of Apache Spark.\n\n[Apache Spark™ MLflow](https://mlflow.org/) is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components:\n\n**[MLflow Tracking](https://mlflow.org/docs/latest/tracking.html)**: Record and query experiments: code, data, config, and results.\n\n**[MLflow Projects](https://mlflow.org/docs/latest/projects.html)**: Package data science code in a format to reproduce runs on any platform.\n\n**[MLflow Models](https://mlflow.org/docs/latest/models.html)**: Deploy machine learning models in diverse serving environments.\n\n**[Model Registry](https://mlflow.org/docs/latest/model-registry.html)**: Store, annotate, discover, and manage models in a central repository.\n\n[Eclipse Deeplearning4J (DL4J)](https://deeplearning4j.konduit.ai/) is a set of projects intended to support all the needs of a JVM-based(Scala, Kotlin, Clojure, and Groovy) deep learning application. This means starting with the raw data, loading and preprocessing it from wherever and whatever format it is in to building and tuning a wide variety of simple and complex deep learning networks.\n\n[Numba](https://github.com/numba/numba) is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.\n\n[Chainer](https://chainer.org/) is a Python-based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using [CuPy](https://github.com/cupy/cupy) for high performance training and inference.\n\n[cuML](https://github.com/rapidsai/cuml) is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn.\n\n## Online ML Learning Resources\n\n[Machine Learning by Stanford University from Coursera](https://www.coursera.org/learn/machine-learning)\n\n[Machine Learning Courses Online from Coursera](https://www.coursera.org/courses?query=machine%20learning\u0026)\n\n[Machine Learning Courses Online from Udemy](https://www.udemy.com/topic/machine-learning/)\n\n[Learn Machine Learning with Online Courses and Classes from edX](https://www.edx.org/learn/machine-learning)\n\n# Robotics\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/96352533-b55fb380-1078-11eb-874c-f165cbcce899.png\"\u003e\n\u003c/p\u003e\n\n## Tools for Robotics\n\n[ROS](https://www.ros.org/) is robotics middleware. Although ROS is not an operating system, it provides services designed for a heterogeneous computer cluster such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management.\n\n[ROS2](https://index.ros.org/doc/ros2/) is a set of [software libraries and tools](https://github.com/ros2) that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. And it’s all open source.\n\n[Robot Framework](https://robotframework.org/) is a generic open source automation framework. It can be used for test automation and robotic process automation. It has easy syntax, utilizing human-readable keywords. Its capabilities can be extended by libraries implemented with Python or Java. \n\n[The Robotics Library (RL)](https://github.com/roboticslibrary/rl) is a self-contained C++ library for robot kinematics, motion planning and control. It covers mathematics, kinematics and dynamics, hardware abstraction, motion planning, collision detection, and visualization.RL runs on many different systems, including Linux, macOS, and Windows. It uses CMake as a build system and can be compiled with Clang, GCC, and Visual Studio.\n\n[MoveIt](https://moveit.ros.org/) is the most widely used software for manipulation and has been used on over 100 robots. It provides an easy-to-use robotics platform for developing advanced applications, evaluating new designs and building integrated products for industrial, commercial, R\u0026D, and other domains.\n\n[AutoGluon](https://autogluon.mxnet.io/index.html) is toolkit for [Deep learning](https://gitlab.com/maos20008/intro-to-machine-learning) that automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy deep learning models on tabular, image, and text data.\n\n[Gazebo](http://gazebosim.org/) accurately and efficiently simulates indoor and outdoor robots. You get a robust physics engine, high-quality graphics, and programmatic and graphical interfaces.\n\n[Robotics System Toolbox](https://www.mathworks.com/products/robotics.html) provides tools and algorithms for designing, simulating, and testing manipulators, mobile robots, and humanoid robots. For manipulators and humanoid robots, the toolbox includes algorithms for collision checking, trajectory generation, forward and inverse kinematics, and dynamics using a rigid body tree representation. \nFor mobile robots, it includes algorithms for mapping, localization, path planning, path following, and motion control. The toolbox provides reference examples of common industrial robot applications. It also includes a library of \ncommercially available industrial robot models that you can import, visualize, and simulate.\n\n[Intel Robot DevKit](https://github.com/intel/robot_devkit) is the tool to generate Robotics Software Development Kit (RDK) designed for autonomous devices, including the ROS2 core and capacibilities packages like perception, planning, control driver etc. It provides flexible build/runtime configurations to meet different autonomous requirement on top of diversity hardware choices, for example use different hareware engine CPU/GPU/VPU to accelerate AI related features.\n\n[Arduino](https://www.arduino.cc/) is an open-source platform used for building electronics projects. Arduino consists of both a physical programmable circuit board (often referred to as a microcontroller) and a piece of software, or IDE (Integrated Development Environment) that runs on your computer, used to write and upload computer code to the physical board.\n\n[ArduPilot](https://ardupilot.org/ardupilot/index.html) enables the creation and use of trusted, autonomous, unmanned vehicle systems for the peaceful benefit of all. ArduPilot provides a comprehensive suite of tools suitable for almost any vehicle and application.\n\n[AirSim](https://github.com/Microsoft/AirSim) is a simulator for drones, cars and more, built on Unreal Engine (we now also have an experimental Unity release). It is open-source, cross platform, and supports hardware-in-loop with popular flight controllers such as PX4 for physically and visually realistic simulations.\n\n[F´ (F Prime)](https://github.com/nasa/fprime) is a component-driven framework that enables rapid development and deployment of spaceflight and other embedded software applications. Originally developed at the Jet Propulsion Laboratory, F´ has been successfully deployed on several space applications.\n\n[The JPL Open Source Rover](https://github.com/nasa-jpl/open-source-rover) is an open source, build it yourself, scaled down version of the 6 wheel rover design that JPL uses to explore the surface of Mars. The Open Source Rover is designed almost entirely out of consumer off the shelf (COTS) parts. This project is intended to be a teaching and learning experience for those who want to get involved in mechanical engineering, software, electronics, or robotics.\n\n[Light Detection and Ranging(LiDAR)](https://en.wikipedia.org/wiki/Lidar) is a remote sensing method that uses light in the form of a pulsed laser at an object, and uses the time and wavelength of the reflected beam of light to estimate the distance and in some applications ([Laser Imaging](https://en.wikipedia.org/wiki/Laser_scanning)), to create a 3D representation of the object and its surface characteristics. This technology is commonly used in aircraft and self-driving vehicles.\n\n[AliceVision](https://github.com/alicevision/AliceVision) is a Photogrammetric Computer Vision Framework which provides a 3D Reconstruction and Camera Tracking algorithms. AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage.\n\n[CARLA](https://github.com/carla-simulator/carla) is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions.\n\n[ROS bridge](https://github.com/carla-simulator/ros-bridge) is a package to bridge ROS for CARLA Simulator.\n\n[ROS-Industrial](https://rosindustrial.org/) is an open source project that extends the advanced capabilities of ROS software to manufacturing.\n\n[AWS RoboMaker](https://aws.amazon.com/robomaker/) is the most complete cloud solution for robotic developers to simulate, test and securely deploy robotic applications at scale. RoboMaker provides a fully-managed, scalable infrastructure for simulation that customers use for multi-robot simulation and CI/CD integration with regression testing in simulation.\n\n[Microsoft Robotics Developer Studio](https://www.microsoft.com/en-us/download/details.aspx?id=29081)  is a free .NET-based programming environment for building robotics applications. \n\n[Visual Studio Code Extension for ROS](https://github.com/ms-iot/vscode-ros) is an extension provides support for Robot Operating System (ROS) development.\n\n[Azure Kinect ROS Driver](https://github.com/microsoft/azure_kinect_ros_driver) is a node which publishes sensor data from the [Azure Kinect Developer Kit](https://azure.microsoft.com/en-us/services/kinect-dk/) to the [Robot Operating System (ROS)](http://www.ros.org/). Developers working with ROS can use this node to connect an Azure Kinect Developer Kit to an existing ROS installation.\n\n[Azure IoT Hub for ROS](https://github.com/microsoft/ros_azure_iothub) is a ROS package works with the Microsoft Azure IoT Hub service to relay telemetry messages from the Robot to Azure IoT Hub or reflect properties from the Digital Twin to the robot using dynamic reconfigure.\n\n[ROS 2 with ONNX Runtime](https://github.com/ms-iot/ros_msft_onnx) is a program that uses ROS 2 to run on different hardware platforms using their respective AI acceleration libraries for optimized execution of the ONNX model.\n\n[Azure Cognitive Services LUIS ROS Node](https://github.com/ms-iot/ros_msft_luis) is a ROS node that bridges between ROS and the Azure Language Understanding Service. it can be configured to process audio directly from a microphone, or can subscribe to a ROS audio topic, then processes speech and generates \"intent\" ROS messages which can be processed by another ROS node to generate ROS commands. \n\n## Robotics Learning Resources\n\n[Robotics courses from Coursera](https://www.edx.org/learn/robotics)\n\n[Learn Robotics with Online Courses and Classes from edX](https://www.edx.org/learn/robotics)\n\n[Top Robotics Courses Online from Udemy](https://www.udemy.com/topic/robotics/)\n\n[Free Online AI \u0026 Robotics Courses](https://www.futurelearn.com/subjects/it-and-computer-science-courses/ai-and-robotics)\n\n[REC Foundation Robotics Industry Certification](https://www.roboticseducation.org/industry-certifications/)\n\n[Carnegie Mellon Robotics Academy](https://www.cmu.edu/roboticsacademy/Training/Certifications.html)\n\n[RIA Robotic Integrator Certification Program](https://www.robotics.org/robotics/integrator-certification)\n\n[AWS RoboMaker – Develop, Test, Deploy, and Manage Intelligent Robotics Apps](https://aws.amazon.com/blogs/aws/aws-robomaker-develop-test-deploy-and-manage-intelligent-robotics-apps/)\n\n[Microsoft AI School](https://aischool.microsoft.com/en-us/home)\n\n[Language Understanding (LUIS) for Azure Cognitive Services](https://docs.microsoft.com/en-us/azure/cognitive-services/luis/what-is-luis)\n\n[Azure VM templates to bootstrap ROS and ROS 2 environments](https://ms-iot.github.io/ROSOnWindows/ROSAtMS/AzureVM.html)\n\n[Google Robotics Research](https://research.google/teams/brain/robotics/)\n\n# Open Source Security\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/96352529-af69d280-1078-11eb-9e87-8a73f48af246.png\"\u003e\n\u003c/p\u003e\n\n[Open Source Security Foundation (OpenSSF)](https://openssf.org/) is a cross-industry collaboration that brings together leaders to improve the security of open source software by building a broader community, targeted initiatives, and best practices. The OpenSSF brings together open source security initiatives under one foundation to accelerate work through cross-industry support. Along with the Core Infrastructure Initiative and the Open Source Security Coalition, and will include new working groups that address vulnerability disclosures, security tooling and more.\n\n## Security Standards, Frameworks and Benchmarks\n\n[STIGs Benchmarks - Security Technical Implementation Guides](https://public.cyber.mil/stigs/)\n\n[CIS Benchmarks - CIS Center for Internet Security](https://www.cisecurity.org/cis-benchmarks/)\n\n[NIST - Current FIPS](https://www.nist.gov/itl/current-fips)\n\n[ISO Standards Catalogue](https://www.iso.org/standards.html)\n\n[Common Criteria for Information Technology Security Evaluation (CC)](https://www.commoncriteriaportal.org/cc/) is an international standard (ISO / IEC 15408) for computer security. It allows an objective evaluation to validate that a particular product satisfies a defined set of security requirements. \n\n[ISO 22301](https://www.iso.org/en/contents/data/standard/07/51/75106.html) is the international standard that provides a best-practice framework for implementing an optimised BCMS (business continuity management system).\n\n[ISO27001](https://www.iso.org/isoiec-27001-information-security.html) is the international standard that describes the requirements for an ISMS (information security management system). The framework is designed to help organizations manage their security practices in one place, consistently and cost-effectively.\n\n[ISO 27701](https://www.iso.org/en/contents/data/standard/07/16/71670.html) specifies the requirements for a PIMS (privacy information management system) based on the requirements of ISO 27001.\nIt is extended by a set of privacy-specific requirements, control objectives and controls. Companies that have implemented ISO 27001 will be able to use ISO 27701 to extend their security efforts to cover privacy management.\n\n[EU GDPR (General Data Protection Regulation)](https://gdpr.eu/) is a privacy and data protection law that supersedes existing national data protection laws across the EU, bringing uniformity by introducing just one main data protection law for companies/organizations to comply with.\n\n[CCPA (California Consumer Privacy Act)](https://www.oag.ca.gov/privacy/ccpa) is a data privacy law that took effect on January 1, 2020 in the State of California. It applies to businesses that collect California residents’ personal information, and its privacy requirements are similar to those of the EU’s GDPR (General Data Protection Regulation).\n\n[Payment Card Industry (PCI) Data Security Standards (DSS)](https://docs.microsoft.com/en-us/microsoft-365/compliance/offering-pci-dss) is a global information security standard designed to prevent fraud through increased control of credit card data.\n\n[SOC 2](https://www.aicpa.org/interestareas/frc/assuranceadvisoryservices/aicpasoc2report.html) is an auditing procedure that ensures your service providers securely manage your data to protect the interests of your comapny/organization and the privacy of their clients. \n\n[NIST CSF](https://www.nist.gov/national-security-standards) is a voluntary framework primarily intended for critical infrastructure organizations to manage and mitigate cybersecurity risk based on existing best practice.\n\n## Security Tools\n\n[AppArmor](https://www.apparmor.net/) is an effective and easy-to-use Linux application security system. AppArmor proactively protects the operating system and applications from external or internal threats, even zero-day attacks, by enforcing good behavior and preventing both known and unknown application flaws from being exploited. AppArmor supplements the traditional Unix discretionary access control (DAC) model by providing mandatory access control (MAC). It has been included in the mainline Linux kernel since version 2.6.36 and its development has been supported by Canonical since 2009.\n\n[SELinux](https://github.com/SELinuxProject/selinux) is a security enhancement to Linux which allows users and administrators more control over access control. Access can be constrained on such variables as which users and applications can access which resources. These resources may take the form of files. Standard Linux access controls, such as file modes (-rwxr-xr-x) are modifiable by the user and the applications which the user runs. Conversely, SELinux access controls are determined by a policy loaded on the system which may not be changed by careless users or misbehaving applications.\n\n[Control Groups(Cgroups)](https://www.redhat.com/sysadmin/cgroups-part-one) is a Linux kernel feature that allows you to allocate resources such as CPU time, system memory, network bandwidth, or any combination of these resources for user-defined groups of tasks (processes) running on a system.\n\n[EarlyOOM](https://github.com/rfjakob/earlyoom) is a daemon for Linux that enables users to more quickly recover and regain control over their system in low-memory situations with heavy swap usage. \n\n[Libgcrypt](https://www.gnupg.org/related_software/libgcrypt/) is a general purpose cryptographic library originally based on code from GnuPG.\n\n[Kali Linux](https://www.kali.org/)  is an open source project that is maintained and funded by Offensive Security, a provider of world-class information security training and penetration testing services.\n\n[Pi-hole](https://pi-hole.net/) is a [DNS sinkhole](https://en.wikipedia.org/wiki/DNS_Sinkhole) that protects your devices from unwanted content, without installing any client-side software, intended for use on a private network. It is designed for use on embedded devices with network capability, such as the Raspberry Pi, but it can be used on other machines running Linux and cloud implementations.\n\n[Aircrack-ng](https://www.aircrack-ng.org/) is a network software suite consisting of a detector, packet sniffer, WEP and WPA/WPA2-PSK cracker and analysis tool for 802.11 wireless LANs. It works with any wireless network interface controller whose driver supports raw monitoring mode and can sniff 802.11a, 802.11b and 802.11g traffic.\n\n[Burp Suite](https://portswigger.net/burp) is a leading range of cybersecurity tools.\n\n[KernelCI](https://foundation.kernelci.org/) is a community-based open source distributed test automation system focused on upstream kernel development. The primary goal of KernelCI is to use an open testing philosophy to ensure the quality, stability and long-term maintenance of the Linux kernel.\n\n[Continuous Kernel Integration project](https://github.com/cki-project) helps find bugs in kernel patches before they are commited to an upstram kernel tree. We are team of kernel developers, kernel testers, and automation engineers.\n\n[eBPF](https://ebpf.io) is a revolutionary technology that can run sandboxed programs in the Linux kernel without changing kernel source code or loading kernel modules. By making the Linux kernel programmable, infrastructure software can leverage existing layers, making them more intelligent and feature-rich without continuing to add additional layers of complexity to the system.\n\n[Cilium](https://cilium.io/) uses eBPF to accelerate getting data in and out of L7 proxies such as Envoy, enabling efficient visibility into API protocols like HTTP, gRPC, and Kafka. \n\n[Hubble](https://github.com/cilium/hubble) is a Network, Service \u0026 Security Observability for Kubernetes using eBPF.\n\n[Istio](https://istio.io/) is an open platform to connect, manage, and secure microservices. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes and Mesos.\n\n[Certgen](https://github.com/cilium/certgen) is a convenience tool to generate and store certificates for Hubble Relay mTLS.\n\n[Scapy](https://scapy.net/) is a python-based interactive packet manipulation program \u0026 library.\n\n[syzkaller](https://github.com/google/syzkaller) is an unsupervised, coverage-guided kernel fuzzer.\n\n[SchedViz](https://github.com/google/schedviz) is a tool for gathering and visualizing kernel scheduling traces on Linux machines.\n\n[oss-fuzz](https://google.github.io/oss-fuzz/) aims to make common open source software more secure and stable by combining modern fuzzing techniques with scalable, distributed execution.\n\n[OSSEC](https://www.ossec.net/) is a free, open-source host-based intrusion detection system. It performs log analysis, integrity checking, Windows registry monitoring, rootkit detection, time-based alerting, and active response.\n\n[Metasploit Project](https://www.metasploit.com/) is a computer security project that provides information about security vulnerabilities and aids in penetration testing and IDS signature development.\n\n[Wfuzz](https://github.com/xmendez/wfuzz) was created to facilitate the task in web applications assessments and it is based on a simple concept: it replaces any reference to the FUZZ keyword by the value of a given payload.\n\n[Nmap](https://nmap.org/) is a security scanner used to discover hosts and services on a computer network, thus building a \"map\" of the network. \n\n[Patchwork](https://github.com/getpatchwork/patchwork) is a web-based patch tracking system designed to facilitate the contribution and management of contributions to an open-source project. \n\n[pfSense](https://www.pfsense.org/) is a free and open source firewall and router that also features unified threat management, load balancing, multi WAN, and more.\n\n[Snowpatch](https://github.com/ruscur/snowpatch) is a continuous integration tool for projects using a patch-based, mailing-list-centric git workflow. This workflow is used by a number of well-known open source projects such as the Linux kernel.\n\n[Snort](https://www.snort.org/) is an open-source, free and lightweight network intrusion detection system (NIDS) software for Linux and Windows to detect emerging threats.\n\n[Wireshark](https://www.wireshark.org/) is a free and open-source packet analyzer. It is used for network troubleshooting, analysis, software and communications protocol development, and education. \n\n[OpenSCAP](https://www.open-scap.org/) is U.S. standard maintained by [National Institute of Standards and Technology (NIST)](https://www.nist.gov/). It provides multiple tools to assist administrators and auditors with assessment, measurement, and enforcement of security baselines. OpenSCAP maintains great flexibility and interoperability by reducing the costs of performing security audits. Whether you want to evaluate DISA STIGs, NIST‘s USGCB, or Red Hat’s Security Response Team’s content, all are supported by OpenSCAP.\n\n[Tink](https://github.com/google/tink) is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and harder to misuse. \n\n[OWASP](https://www.owasp.org/index.php/Main_Page) is an online community, produces freely-available articles, methodologies, documentation, tools, and technologies in the field of web application security.\n\n[Open Vulnerability and Assessment Language](https://oval.mitre.org/) is a community effort to standardize how to assess and report upon the machine state of computer systems. OVAL includes a language to encode system details, and community repositories of content. Tools and services that use OVAL provide enterprises with accurate, consistent, and actionable information to improve their security.\n\n[ClamAV](https://www.clamav.net/) is an open source antivirus engine for detecting trojans, viruses, malware \u0026 other malicious threats.\n\n## Open Source Security Learning Resources\n\n[Microsoft Open Source Software Security](https://www.microsoft.com/en-us/securityengineering/opensource)\n\n[Cloudflare Open Source Security](https://cloudflare.github.io)\n\n[The Seven Properties of Highly Secure Devices](https://www.microsoft.com/en-us/research/publication/seven-properties-highly-secure-devices/)\n\n[How Layer 7 of the Internet Works](https://www.cloudflare.com/learning/ddos/what-is-layer-7/)\n\n[The 7 Kinds of Security](https://www.veracode.com/sites/default/files/Resources/eBooks/7-kinds-of-security.pdf)\n\n[The Libgcrypt Reference Manual](https://www.gnupg.org/documentation/manuals/gcrypt/)\n\n[The Open Web Application Security Project(OWASP) Foundation Top 10](https://owasp.org/www-project-top-ten/)\n\n[Best Practices for Using Open Source Code from The Linux Foundation](https://www.linuxfoundation.org/blog/2017/11/best-practices-using-open-source-code/)\n\n[AWS Certified Security - Specialty Certification](https://aws.amazon.com/certification/certified-security-specialty/)\n\n[Microsoft Certified: Azure Security Engineer Associate](https://docs.microsoft.com/en-us/learn/certifications/azure-security-engineer)\n\n[Google Cloud Certified Professional Cloud Security Engineer](https://cloud.google.com/certification/cloud-security-engineer)\n\n[Cisco Security Certifications](https://www.cisco.com/c/en/us/training-events/training-certifications/certifications/security.html)\n\n[The Red Hat Certified Specialist in Security: Linux](https://www.redhat.com/en/services/training/ex415-red-hat-certified-specialist-security-linux-exam)\n\n[Linux Professional Institute LPIC-3 Enterprise Security Certification](https://www.lpi.org/our-certifications/lpic-3-303-overview)\n\n[Cybersecurity Training and Courses from IBM Skills](https://www.ibm.com/skills/topics/cybersecurity/)\n\n[Cybersecurity Courses and Certifications by Offensive Security](https://www.offensive-security.com/courses-and-certifications/)\n\n[RSA Certification Program](https://community.rsa.com/community/training/certification)\n\n[Check Point Certified Security Expert(CCSE) Certification](https://training-certifications.checkpoint.com/#/courses/Check%20Point%20Certified%20Expert%20(CCSE)%20R80.x)\n\n[Check Point Certified Security Administrator(CCSA) Certification](https://training-certifications.checkpoint.com/#/courses/Check%20Point%20Certified%20Admin%20(CCSA)%20R80.x)\n\n[Check Point Certified Security Master (CCSM) Certification](https://training-certifications.checkpoint.com/#/courses/Check%20Point%20Certified%20Master%20(CCSM)%20R80.x)\n\n[Certified Cloud Security Professional(CCSP) Certification](https://www.isc2.org/Certifications/CCSP)\n\n[Certified Information Systems Security Professional (CISSP) Certification](https://www.isc2.org/Certifications/CISSP)\n\n[CCNP Routing and Switching](https://learningnetwork.cisco.com/s/ccnp-enterprise)\n\n[Certified Information Security Manager(CISM)](https://www.isaca.org/credentialing/cism)\n\n[Wireshark Certified Network Analyst (WCNA)](https://www.wiresharktraining.com/certification.html)\n\n[Juniper Networks Certification Program Enterprise (JNCP)](https://www.juniper.net/us/en/training/certification/)\n\n[Security Training Certifications and Courses from Udemy](https://www.udemy.com/courses/search/?src=ukw\u0026q=secuirty)\n\n[Security Training Certifications and Courses from Coursera](https://www.coursera.org/search?query=security\u0026)\n\n[Security Certifications Training from Pluarlsight](https://www.pluralsight.com/browse/information-cyber-security/security-certifications)\n\n# Differential Privacy\n\n[Back to the Top](https://github.com/mikeroyal/Debian-Guide/blob/main/README.md#table-of-contents)\n\n\u003ch1 align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/103486336-fd59c100-4db1-11eb-9780-a0b90bd5db1f.png\"\u003e\n\u003c/h1\u003e\n\n[Differential Privacy](https://www.microsoft.com/en-us/ai/ai-lab-differential-privacy) is a system that simultaneously enables researchers and analysts to extract useful insights from datasets containing personal information and offers stronger privacy protections. This is achieved by introducing \"statistical noise\".\n\n[Statistical Noise](https://news.microsoft.com/on-the-issues/2020/08/27/statistical-noise-data-differential-privacy/) is a process that small aletrations to masked datasets. The statistical noise hides identifiable characteristics of individuals, ensuring that the privacy of personal information is protected, but it's small enough to not materially impact the accuracy of the answers extracted by analysts and researchers.\n\n[Laplacian Noise](https://en.wikipedia.org/wiki/Laplace_distribution) is a mechanism that adds Laplacian-distributed noise to a function.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/103486337-ff238480-4db1-11eb-9895-f7f49cc5715a.png\"\u003e\n\u003cbr /\u003e\nAbove is a simple diagram of how Differential Privacy-Preserving Data Sharing and Data Mining protects a User's Data\n\u003c/p\u003e\n\n## Tools\n\n[PySyft](https://github.com/OpenMined/PySyft) is a Python library for secure and private Deep Learning. PySyft decouples private data from model training, using [Federated Learning](https://ai.googleblog.com/2017/04/federated-learning-collaborative.html), [Differential Privacy](https://www.microsoft.com/en-us/ai/ai-lab-differential-privacy), and Encrypted Computation (like [Multi-Party Computation (MPC)](https://multiparty.org) and [Homomorphic Encryption (HE)](https://www.microsoft.com/en-us/research/project/homomorphic-encryption/) within the main Deep Learning frameworks like [PyTorch](https://pytorch.org/) and [TensorFlow](https://www.tensorflow.org/).\n\n[TensorFlow Privacy](https://github.com/tensorflow/privacy) is a  Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy. The library comes with tutorials and analysis tools for computing the privacy guarantees provided.\n\n[TensorFlow Federated (TFF)](https://github.com/tensorflow/federated) is an open-source framework for machine learning and other computations on decentralized data. TFF has been developed to facilitate open research and experimentation with [Federated Learning (FL)](https://ai.googleblog.com/2017/04/federated-learning-collaborative.html), an approach to machine learning where a shared global model is trained across many participating clients that keep their training data locally. \n\n[Privacy on Beam](https://github.com/google/differential-privacy/tree/main/privacy-on-beam) is an end-to-end differential privacy solution built on [Apache Beam](https://beam.apache.org/documentation/). It is intended to be usable by all developers, regardless of their differential privacy expertise.\n\n[PyDP](https://github.com/OpenMined/PyDP) is a Python wrapper for Google's Differential Privacy project.\n\n[PennyLane](https://pennylane.ai) is a cross-platform Python library for [differentiable programming](https://en.wikipedia.org/wiki/Differentiable_programming) of quantum computers. By training a quantum computer the same way as a neural network.\n\n[BoTorch](https://botorch.org) is a library for Bayesian Optimization built on Py","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/mikeroyal%2Fdebian-guide/projects"}