Search Results for "linux apps"

MagiskOnWSALocal is an open source project by LSPosed that integrates Magisk root and Google Apps (GApps) into Windows Subsystem for Android (WSA). It automates the process of building customized WSA images with root access, replacing Amazon Appstore with Google Play services. The repository includes scripts that streamline setup across Linux distributions like Ubuntu, Debian, Arch, and openSUSE, supporting both ARM64 and x64 architectures.

Scoop is a command-line installer for Windows. If you have built software that you would like others to use, Scoop is an alternative to building an installer (like MSI or InnoSetup). You just need to compress your app to a .zip file and provide a JSON manifest that describes how to install it. Scoop downloads and manages packages in a portable way, keeping them neatly isolated in ~\scoop. It won't install files outside its home, and you can place a Scoop installation wherever you like. For...

Generative AI for Beginners .NET is a hands-on course that helps developers build real-world AI applications using the .NET ecosystem. It walks through core concepts such as text generation, chat-based interactions, and integrating large language models into applications. Each lesson includes short videos, working code samples, and step-by-step instructions, making it easy to follow and apply immediately. Generative AI for Beginners .NET supports tools like GitHub Models, Azure OpenAI...

Generative AI for Beginners is a 21-lesson course by Microsoft Cloud Advocates that teaches the fundamentals of building generative AI applications in a practical, project-oriented way. Lessons are split into “Learn” modules for core concepts and “Build” modules with hands-on code in Python and TypeScript, so you can jump in at any point that matches your goals. The course covers everything from model selection, prompt engineering, and chat/text/image app patterns to secure development...

ML.NET is a cross-platform open-source machine learning framework that makes machine learning accessible to .NET developers. In this GitHub repo, we provide samples that will help you get started with ML.NET and how to infuse ML into existing and new .NET apps. We're working on simplifying ML.NET usage with additional technologies that automate the creation of the model for you so you don't need to write the code by yourself to train a model, you simply need to provide your datasets. The "best" model and the code for running it will be generated for you. The ML.NET CLI (command-line interface) is a tool you can run on any command prompt (Windows, Mac or Linux) for generating good quality ML.NET models based on training datasets you provide. ...

Blazor lets you build interactive web UIs using C# instead of JavaScript. Blazor apps are composed of reusable web UI components implemented using C#, HTML, and CSS. Both client and server code is written in C#, allowing you to share code and libraries. Blazor is a feature of ASP.NET, the popular web development framework that extends the .NET developer platform with tools and libraries for building web apps. Blazor can run your client-side C# code directly in the browser, using WebAssembly....