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- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
- The Microsoft community Windows Package Manager manifest repository
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Public- Repository hosting the markdown files for the React Native dev blog
- Visual Studio Test Platform is the runner and engine that powers test explorer and vstest.console.
- This repository holds the source code of Microsoft.Testing.Platform (MTP), a lightweight alternative to VSTest, as well as MSTest adapter and framework.
- Production-ready Infrastructure as Code, applications, pluggable components, and PlatformOps toolchains that empower organizations to achieve more with cloud and edge AI-powered solutions. Built by friendly geeks, for every team that needs edge solutions to achieve real production results.
- Secure AI conversations with documents, video, audio, and more. Personal workspaces for focused context, group spaces for shared insight. Classify docs, reuse prompts, and extend with modular features.
- Microsoft PowerToys is a collection of utilities that help you customize Windows and streamline everyday tasks
- A JavaScript caching library for reducing build time
- Optimization solver backend for analog optical computer
- The task library that just works
- A 'ping' equivalent tool for QUIC.
- SdnDiagnostics is a PowerShell module that is designed to simplify the diagnostic troubleshooting and data collection process when troubleshooting issues related to Microsoft Software Defined Network.
- Generating and validating natural-language explanations for the brain.
- AI-in-One Dashboard Power BI template for comprehensive AI usage analytics
- This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks