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.

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

This package contains ONNX Runtime for .Net platforms

ML.NET component for LightGBM

ML.NET component for Image support

ML.NET component for FastTree

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

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

ML.NET additional learners making use of Intel Mkl.

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

ML.NET component for Microsoft.ML.Scoring library

This package contains ONNX Runtime for .Net platforms

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.

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 written using the Infer.NET API and converts them into inference code.

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 complete machine learning applications including a classifier and a recommender system.

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