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Starred repositories
.NET MAUI is the .NET Multi-platform App UI, a framework for building native device applications spanning mobile, tablet, and desktop.
🐝 A collection of awesome .NET core libraries, tools, frameworks and software
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Sample code for Power Apps, including Dataverse, model-driven apps, canvas apps, Power Apps component framework, portals, and AI Builder.
Welcome to the Microsoft Teams samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Microsoft Teams App!
Powerful tool for downloading content posted by creators on patreon.com. Supports content hosted on patreon itself as well as external sites (additional plugins might be required).
This is a repository for Microsoft Power Automate, Power Apps, and Azure Logic Apps connectors
Git repo for Analysis Services samples and community projects
This template deploys a Generative AI Virtual Assistant using Azure OpenAI and Bot Framework.
Data Science Toolkit - Knowledge Mining Solution Accelerator
Collection of C# projects used while learning Semantic Kernel
Using Semantic Kernel to create an AI Agent that supports RAG enabled by Azure SQL DB vector support that is now in public preview!
Lightweight and friendly .NET library for realizing intelligent Semantic Web applications
This repo contains starter code for the learning path module exercises.
essevan / StockSharp
Forked from StockSharp/StockSharpAlgorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Reference solution for how to build your own production-ready Copilot in Azure on .NET 8 using: Azure Cosmos DB and its vector database capabilities, containerized and running on AKS or ACA using M…
Using Azure SQL and Semantic Kernel to chat with your own data using a mix of NL2SQL and RAG