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PublicThe Microsoft community Windows Package Manager manifest repository- DirectXMesh geometry processing library
- 12 Lessons to Get Started Building AI Agents
- LISA is developed and maintained by Microsoft, to empower Linux validation.
- Visual Studio Code
- This accelerator is a multi-service application that provides a multi-agent, AI-driven migration solution for users moving container service configurations from a cloud platform to Azure Kubernetes Service.
- Document Generation Solution Accelerator using Azure OpenAI Service and Azure AI Search.
- Designed to help customers transition their SQL queries to new environments quickly and efficiently. This accelerator is particularly useful for organizations modernizing their data estates, as it simplifies the process of translating SQL queries from various dialects.
- The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Azure Foundry, Azure Cosmos DB, and infrastructure services, it provides a reference application, allowing you to hit the ground running.
- Library for building distributed, real-time collaborative web applications
- Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capability to connect to Azure SQL and SQL Server. Browse the extension library for more database support options including MySQL, PostgreSQL, and MongoDB.
- Makefile Tools offers a robust workflow for Makefile projects in VS Code, with pre and post-configure script automation, easy configuration switching, and IntelliSense support for Makefile. The customizable user interface and environment variable management simplify development. It can also generate a compilation database for use with other tools.
- 12 Weeks, 24 Lessons, AI for All!
- This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.