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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...

Everywhere is a context-aware desktop AI assistant designed to interact directly with the content displayed on a user’s screen. It distinguishes itself from traditional AI tools by eliminating the need for manual input methods such as copying text or taking screenshots, instead allowing users to invoke assistance instantly through a shortcut. It can analyze on-screen information in real time and provide contextual responses, making it useful for tasks like troubleshooting errors, summarizing...

- Suitable for mobile apps, enterprise software in C#, data science tasks. - Can be easily used as a local database in C# application or used as database server. - Nested data structures supported. - PowerShell interface for interactive mode and scripting. - Available as cloud database on ENGITEX own cloud as well as for local deployment. See project Wiki for more.

ESD Installer is a native, open-source Windows deployment utility that applies a Windows image directly to a selected existing disk partition, configures boot files, verifies the result, and prepares the computer to boot into the new system without a separate installation USB drive. Three native editions are provided: Windows 10/11 (C#, .NET 8, WinUI 3), Windows 8/8.1 (C#, .NET Framework 4.6.1, WPF), and Windows 7 SP1 (C#, .NET Framework 4.8, WPF). ESD Installer supports ISO/WIM/ESD...

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...