returned for Tags:"learning"
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.
The core of the Accord.NET Framework. Contains basic classes such as general exceptions and extensions used by other framework libraries.
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
ML.NET component for FastTree
ML.NET component for LightGBM
ML.NET component for Image support
ML.NET additional learners making use of Intel Mkl.
Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.
ML.NET component for Microsoft.ML.Scoring library
Microsoft.ML.TimeSeries contains ML.NET Time Series prediction algorithms. Uses Intel Mkl.
Official Vowpal Wabbit library including C# interface.
Microsoft.ML.Vision contains high level APIs for vision tasks like image classification.
Microsoft.ML.Mkl.Redist contains the MKL library redistributed as a NuGet package.
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
An integration package for ML.NET models on scalable web apps and services.
This package contains ONNX Runtime for .Net platforms
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