#Microsoft

Discover the Node.js wrapper for Microsoft's unofficial Bing Chat API. This package, requiring Node.js 18 or newer and a valid Bing Chat cookie, supports dynamic dialog with AI variants such as Balanced, Precise, or Creative. Utilize real-time response streaming via the onProgress handler. As this API is a reverse-engineered solution, it's best suited for non-production use. Follow ongoing updates through the developer's Twitter. Well-suited for backend API applications and compatible with ESM.

This open-source project merges Electron, Vue, ElementPlus, and Vite to create a Microsoft speech synthesis tool tailored for personal learning. Users should delete the software within 24 hours of downloading. It includes guides on project introduction, installation, features, FAQs, and updates. The tool is free, and any requested payment is likely fraudulent. User feedback and updates are managed through specific QQ groups.

Explore a detailed guide on Microsoft's Phi-3 AI models, notable for their performance across language, reasoning, coding, and math tasks. The resource offers step-by-step methods for deploying and fine-tuning these adaptable models on platforms like Azure AI Studio, GitHub, and Hugging Face. Ideal for developers and AI enthusiasts, it highlights the potential of Phi-3 for customized AI applications.

ABAP SDK for Azure provides ABAP objects and classes that facilitate direct integration between SAP processes and Azure services, removing the dependency on middleware. The SDK supports Azure services like Event Hub, Cosmos DB, and Microsoft Graph API. It encourages community contributions under Microsoft's Open Source Code of Conduct for enhanced development.

TypeScript adds optional types to JavaScript, enabling scalable application development across all platforms. Compiling to clean JavaScript, it is backed by a robust community and easily installed via npm. Comprehensive guides and documentation are available, with updates shared on their blog and Twitter.

This platform provides robust solutions for optimizing resource management in industries like logistics, transportation, and finance by using Reinforcement Learning as a Service (RaaS). It supports simulation, reinforcement learning, and distributed systems, facilitating tasks such as container inventory management, bike repositioning, virtual machine provisioning, and asset management. Users have the flexibility to apply predefined scenarios or craft custom solutions with the aid of its distributed communication and planning toolkits.

Discover the features of a multilingual TTS model capable of zero-shot voice cloning, accent adaptation, and emotion synthesis. VALL-E X provides cross-lingual speech generation in English, Chinese, and Japanese. This open-source rendition of Microsoft's model delivers enhanced audio quality and emotion control, supporting both CPU and GPU with minimal VRAM. Explore online demos through Hugging Face or Google Colab, and access complete installation and usage instructions.

Discover detailed insights into Microsoft Azure architecture patterns and practices through the Azure Architecture Center. Access resources under the Creative Commons Attribution 4.0 License and learn about cloud architecture design while adhering to trademark and privacy guidelines.

This repository hosts the source code and binaries of MS-DOS versions 1.25, 2.0, and the IBM-Microsoft co-developed v4.0, spotlighting early PC operating systems. Initially made public by the Computer History Museum, these files are licensed under MIT License and serve as static historical references, encouraging forks for personal experiments. Compliance is maintained with Microsoft's Open Source Code of Conduct.

The terraform-azurerm-caf module allows for effective resource management in Microsoft Azure, suitable for standalone use or within Azure Terraform Landing zones. While it is no longer maintained by Microsoft, it continues to be supported by the open-source community. Transition to Microsoft Azure Verified Modules is advised for ongoing support. An Azure subscription is necessary, with access available through the Terraform registry. Users can benefit from comprehensive guides and examples to optimize their cloud infrastructure management.

Discover methods to fine-tune Microsoft's Florence-2, a compact yet powerful vision-language model applicable in diverse tasks such as captioning and OCR. This comprehensive guide addresses specific task adaptation like DocVQA and provides insights on installation and training, including single and distributed GPU setups. Understanding model revisions coupled with appropriate datasets can significantly boost performance, positioning Florence-2 as a flexible choice in computer vision and language tasks.

Discover the modernized Windows File Manager, designed for x86, x64, and arm64 systems on Windows 11 and earlier versions. Access both the original NT4 version and an enhanced active branch. Download pre-compiled versions or contribute under Microsoft's Open Source Code of Conduct, honoring its evolution since Windows 3.0.

Microsoft Cognitive Toolkit (CNTK), an open-source deep learning framework, models neural networks as computational graphs for seamless execution of architectures like DNNs, CNNs, and RNNs. It incorporates stochastic gradient descent with automatic differentiation, supporting multi-GPU and server parallelization, suitable for intensive deep learning applications. Though major updates have halted, CNTK maintains compatibility with the latest ONNX standards, promoting AI framework interoperability. Extensive resources are available for users to explore and optimize the toolkit’s features.

Microsoft Automatic Mixed Precision (MS-AMP) is an efficient deep learning package that enhances model performance using automatic mixed precision. The latest version v0.4.0 focuses on optimizing resource allocation and speeding up the training of large models such as FP8-LM. For more detailed information, please visit aka.ms/msamp/doc. Ensure trademark use complies with Microsoft's guidelines. MS-AMP provides practical solutions for advancing AI projects.

Win11React is an open-source initiative to emulate Windows 11's desktop environment online through React, CSS (SCSS), and JavaScript. It includes functionalities like Start Menu, Desktop utilities, and integrated apps such as Notepad. This project, independent from Microsoft, supports multiple languages and delivers Windows-like capabilities via web browsers, negating the need for a native OS.

Explore an organized collection of Microsoft architectural icons in PowerPoint that simplifies the integration process for users. This project gathers key SVG icon sets from Microsoft Learn, covering platforms such as Azure, Dynamics365, Power Platform, and Entra, reducing manual effort and ensuring compliance with Microsoft's usage guidelines. Ideal for architectural presentations, the collection is readily available for download, facilitating efficient usage for both designers and developers.

NubesGen simplifies the Azure deployment process, enabling production readiness with just one 'git push'. It offers online instances and thorough documentation, designed to be accessible and straightforward for developers. NubesGen supports seamless Azure integration for efficient application deployment while adhering to Microsoft's branding guidelines to avoid sponsorship confusion. Explore how NubesGen can enhance cloud deployments with its streamlined approach.

DeepSpeed optimizes deep learning training and inference through a sophisticated software suite that boosts speed and scalability. It facilitates the handling of large models and efficient GPU scaling, delivering exceptional system throughput. Utilizing technologies such as ZeRO and parallelism, DeepSpeed significantly reduces latency and increases throughput, streamlining model deployment processes. Its capabilities are instrumental in powering advanced language models, representing a substantial advancement in AI capabilities.

The C# .NET library facilitates interaction with OpenAI APIs like GPT-3.5/4 and DALL-E. Compatible with .NET Standard 2.0, it operates on Windows, Linux, and Mac. Features include ChatGPT interface, text-to-speech, and content moderation. Initially an independent project, it is now officially managed by Microsoft, ensuring comprehensive API support and regular updates. Explore documentation and examples for detailed guidance.

Olive offers a user-friendly tool for optimizing models with awareness of specific hardware needs. It integrates leading techniques in compression, optimization, and compilation to simplify the engineering process, accommodating multiple vendor-specific toolchains for cloud and edge deployments. With a flexible framework, Olive allows for the easy inclusion of new industry innovations, catering to diverse hardware requirements while adhering to constraints such as accuracy and latency. Recent developments highlight enhancements for AI applications and DirectML performance.

This 12-week beginner-friendly curriculum by Microsoft focuses on traditional machine learning techniques using Scikit-learn. It emphasizes project-based learning with global datasets, complete with quizzes, solutions, and assignments. Designed for Python and R users, this course helps solidify key concepts through practical exercises and offers insights into real-world machine learning applications.

This repository offers guidance and resources for contributing to App Center technical documentation. It includes sections on Build and Crash Reporting, allowing collaboration using GitHub flavored markdown. Contributions adhere to Microsoft’s Open Source Code of Conduct, and detailed guides assist both external and internal contributors in enhancing document quality. Discover how to effectively contribute to the App Center documentation.