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

ML.NET component for FastTree

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

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

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

ML.NET component for Image support

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

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

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

ML.NET additional learners making use of Intel Mkl.

The Microsoft.ML.Tokenizers.Data.O200kBase includes the Tiktoken tokenizer data file o200k_base.tiktoken, which is utilized by models such as gpt-4o.

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

The Microsoft.ML.Tokenizers.Data.Cl100kBase class includes the Tiktoken tokenizer data file cl100k_base.tiktoken, which is utilized by models such as GPT-4.