returned for Tags:"ML.NET"
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.
ML.NET component for FastTree
ML.NET component for LightGBM
ML.NET component for Image support
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
Microsoft.ML.Mkl.Redist contains the MKL library redistributed as a NuGet package.
Microsoft.ML.Vision contains high level APIs for vision tasks like image classification.
An integration package for ML.NET models on scalable web apps and services.
Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.13.1 redistributed as a NuGet package.
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
Microsoft.ML.EntryPoints contains the ML.NET entry point API catalog.
ML.NET component for Ensembles
A .NET Core command line tool to automatically build, train, and generate an ML.NET model and consumption code.
Microsoft.ML.Dnn contains APIs to do high level DNN training such as image classification.