MLNET 

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.

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.

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

ML.NET component for FastTree

ML.NET component for LightGBM

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

ML.NET component for Image support

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

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

ML.NET additional learners making use of Intel Mkl.

ML.NET component for Microsoft.ML.Scoring library

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

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

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

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

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

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.

ML.NET component for Ensembles

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