Five lessons, learn how to really apply AI to your .NET Applications
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Updated
Jun 16, 2025 - C#
Five lessons, learn how to really apply AI to your .NET Applications
DevoxxGenie is a plugin for IntelliJ IDEA that uses local LLM's (Ollama, LMStudio, GPT4All, Jan and Llama.cpp) and Cloud based LLMs to help review, test, explain your project code.
Open-WebUI-Functions is a collection of custom pipelines, filters, and integrations designed to enhance Open WebUI. These functions enable seamless interactions with Azure AI, N8N, Google Gemini and other AI models, providing dynamic request handling, preprocessing, and automation.
AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to make trading decisions based on multiple sophisticated algorithms. Built with the latest machine learning and data science techniques, AI-CryptoTrader provides a powerful toolset and advanced trading stratgies for maximizing your cryptocurrency profits.
MindManager AI Integration on Windows and macOS
Azure Computer Vision 4 (March 2023 - Florence) workshop in a day
Enhance your .NET MAUI development experience with this AI-powered Visual Studio Extension.
Demonstrate how to use DeepSeek-R1 models GitHub Models, Azure or Ollama
Explore the power of Azure Text-to-Speech with interactive talking avatar, Lisa 👩🏻🦱. Choose from multiple languages and avatar styles to bring your text to life.
Azure AI Translator demos
Study Notes for Microsoft Azure AI Engineer Associate Examination (AI-102)
💻 context-aware AI coding assistant for the terminal to assist with code development, explanation, refactoring, review, debugging, and chat; compatible with both local and online language models.
This repository is mainly used for the R&D of the Azure AI, .NET & Power Platform
EduPintarIPAS adalah chatbot edukatif berbasis web untuk siswa SD kelas 6, menggunakan Azure AI untuk menjawab pertanyaan IPAS secara interaktif.
Video search using Azure Computer Vision 4 (Florence)
DeepSeek-R1 JavaScript starter
A comprehensive cheat sheet for the AI-900 Azure AI Fundamentals exam covering artificial intelligence workloads, machine learning principles, computer vision, natural language processing (NLP), generative AI, and responsible AI considerations. Includes Azure tools and services with links and logos for visual clarity.
Sample for context-aware Agentic RaG, Q&A with multi-source verification, and self-curating knowledge base. Powered by Azure AI Foundry Agent Service, Azure AI Search with agentic retrieval and query rewrite, Semantic Kernel and LangGraph agents running in Azure Container Apps, and ready for Copilot Studio
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