.NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.

ML.NET is an open source and cross-platform machine learning framework for .NET.

ONNX Runtime: cross-platform, high performance scoring engine for ML models

Core functionality needed to create .NET Core projects, that is shared between Visual Studio and CLI

Collection of utilities for working with our devops infrastructure

This repo is used for reviewing new .NET designs.

Used to maintain the Docker images hosted at the mcr.microsoft.com/dotnet-buildtools/prereqs repository

Open standard for machine learning interoperability

Tools that provide common build infrastructure for multiple .NET Foundation projects.

This repo contains information about the various component versions that ship with .NET Core.

An issue labeler bot for use in dotnet repositories.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.