Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

A machine learning project template that makes it easy to work with multiple Docker based VSCode Dev Containers. Easily transition projects to the cloud and production with automated code quality checks, pytest configuration, CI pipeline templates & AML cloud example

Automatable GenAI Scripting

The Microsoft community Windows Package Manager manifest repository

Validate infrastructure as code (IaC) and objects using PowerShell rules.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

LISA is developed and maintained by Microsoft, to empower Linux validation.

Repository for collaboration on Microsoft Dynamics 365 Business Central applications.

Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.

This repository holds the source code of Microsoft.Testing.Platform (MTP), a lightweight alternative to VSTest, as well as MSTest adapter and framework.