MLNET 

ML.NET Code Generator

ML.NET component for pretrained AlexNet image featurization

ML.NET component for pretrained ResNet101 image featurization

ML.NET component for pretrained ResNet50 image featurization

ML.NET component for pretrained ResNet18 image featurization

Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.13.1 redistributed as a NuGet package.

Microsoft.ML.TorchSharp contains ML.NET integration of TorchSharp.

Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains classes and methods needed to execute the inference code.

A .NET Core command line tool to automatically build, train, and generate an ML.NET model and consumption code.

ML.NET component for exporting ONNX Models

ML.NET component for Ensembles

Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains the Infer.NET Compiler, which takes model descriptions... More information

A .NET Core command line tool to automatically build, train, and generate an ML.NET model and consumption code.

Microsoft.ML.Experimental contains experimental work such extension methods to access internal methods.

Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains complete machine learning applications including a... More information

Sample utils for Microsoft.ML.Samples

A .NET Core command line tool to automatically build, train, and generate an ML.NET model and consumption code.

A .NET Core command line tool to automatically build, train, and generate an ML.NET model and consumption code.

ML.NET component for a statically typed API.

ML.NET components for Apache Parquet support.