12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
10 Weeks, 20 Lessons, Data Science for All!
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
12 Weeks, 24 Lessons, IoT for All!
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Documentation and issues for Pylance
Sharing Updatable Models (SUM) on Blockchain
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Microsoft Python Driver for SQL Server
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
TerraSigma - Modern Detection Engineering for the Cloud-Native SIEM Microsoft Sentinel
A professional Python tool and modern desktop GUI for converting academic citations and document formatting (APA 7, Harvard, Vancouver) in Microsoft Word (.docx) files.