MLNET 

Contains the IDataView system which is a set of interfaces and components that provide efficient, compositional processing of schematized data for machine learning and advanced analytics applications.

ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.

Microsoft.ML.CpuMath contains optimized math routines for ML.NET.

This package contains native shared library artifacts for all supported platforms of ONNX Runtime.

This package contains easy-to-use and high-performance libraries for data analysis and transformation.

ML.NET component for LightGBM

Microsoft.ML.Mkl.Redist contains the MKL library redistributed as a NuGet package.

ML.NET component for FastTree

ML.NET component for Image support

Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.

Microsoft.ML.TimeSeries contains ML.NET Time Series prediction algorithms. Uses Intel Mkl.

LIBMF, the core computation library for matrix factorization in ML.NET

Microsoft.ML.Vision contains high level APIs for vision tasks like image classification.

ML.NET additional learners making use of Intel Mkl.

This package contains native shared library artifacts for all supported platforms of ONNX Runtime.

ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters

ML.NET component for Microsoft.ML.OnnxRuntime.Managed library

Microsoft.ML.Tokenizers contains the implmentation of the tokenization used in the NLP transforms.

An integration package for ML.NET models on scalable web apps and services.

Microsoft.ML.EntryPoints contains the ML.NET entry point API catalog.