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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
Enhance your .NET MAUI development experience with this AI-powered Visual Studio Extension.
Azure Computer Vision 4 (March 2023 - Florence) workshop in a day
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.
💻 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.
Azure AI Translator demos
Remove the background from your headshots!
This repository is mainly used for the R&D of the Azure AI, .NET & Power Platform
Video search using Azure Computer Vision 4 (Florence)
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.
DeepSeek-R1 JavaScript starter
A web app that extracts and translates text from handwritten notes. Created with Flask and Azure Cognitive Services. Hosted on Azure App Service.
This sample shows how to build vector similarity search on Azure Cosmos DB for PostgreSQL using the pgvector extension and the multi-modal embeddings APIs of Azure AI Vision.
eShopLite - Semantic Search is a reference .NET application implementing an eCommerce site with Search features using Keyword Search and Semantic Search using ChromaDB
This project demonstrates deploying a secure, scalable Generative AI (GenAI) solution on Azure using a Retrieval-Augmented Generation (RAG) architecture and Azure best practices. Leveraging CosmosDB, Azure OpenAI, and a React + Python FastAPI framework, it ensures efficient data retrieval, security, and an intuitive user experience.
Microsoft Azure Basics
🪟🍭🖥️ A concise summary of Microsoft's products includes Azure, .NET, M365, Power Platform, Security, DevOps, Viva, and GitHub. The curricula are based on the Build 2023 challenge.
Examples and guides for adopting Azure AI
Deploy LLMs using Azure Model-as-a-Service (MaaS) and Terraform
The text to speech avatar system is a text to speech feature with vision capabilities, that allow customers to create synthetic videos of a 2D photorealistic avatar speaking. The Neural text to speech Avatar models are trained by deep neural networks based on the human video recording samples, and the voice of the avatar .
A collection of projects developed under Azure AI ecosystem.
This repository contains a Streamlit-based application that leverages Azure Speech Services for both Speech-to-Text (STT) and Text-to-Speech (TTS) functionalities. With an intuitive user interface, users can easily transcribe real-time audio or generate speech from entered text using Azure's powerful AI capabilities.
Hands on labs originally created for the Step by Step for partners motion in Portugal and now available for everyone.
Awesome list of apps powered by Azure AI platform.
Computer vision projects with Azure Custom Vision. Published on my blog.
The Microsoft Azure has a lot to offer when it comes to Cognitive Services, trying out them is really fun. Here in this article, we are going to see how we can detect and read texts from an image and show it in the display using the Cognitive Service Computer Vision AI. The service Computer Vision has it's own machine language running which helps us to do our task in an easy and effective manner. It uses the technology Optical Character Recognition and extracts the words or text to a readable format. All we have to do is, using the service and write some custom codes as per our requirement.
EY Latam South Generative AI Accelerator
Azure-ComputerVision-Background removal (version 4.0 preview)
AI-102T00-A: Designing and Implementing a Microsoft Azure AI Solution