machinelearning-samples
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
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Verified repositories, classifications and analysis from the dotnet organization.
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
Static site generator for .NET API documentation.
The F# compiler, F# core library, F# language service, and F# tooling integration for Visual Studio.
Sample code referenced by the .NET documentation
Command line parsing, invocation, and rendering of terminal output.
Samples for .NET Multi-Platform App UI (.NET MAUI)
Roslynator is a set of code analysis tools for C#, powered by Roslyn.
Core functionality needed to create .NET Core projects, that is shared between Visual Studio and CLI
This repository contains a suite of libraries that provide facilities commonly needed when creating production-ready applications.
Provides a set of libraries which add service API versioning to ASP.NET Core Minimal APIs, Controllers, gRPC, OData, and Web API (Classic).
A collection of .NET for Android sample projects
.NET for Android provides open-source bindings of the Android SDK for use with .NET managed languages such as C#
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Infer.NET is a framework for running Bayesian inference in graphical models
This repository contains the source code for various .NET Core runtime diagnostic tools and documents.
Simulate API failures, throttling, and chaos — all from your command line.