returned for Tags:"machine-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.
Enrich Serilog log events with properties from System.Environment.
The core of the Accord.NET Framework. Contains basic classes such as general exceptions and extensions used by other framework libraries.
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 ONNX Runtime for .Net platforms
ML.NET component for FastTree
ML.NET component for LightGBM
Official Vowpal Wabbit library including C# interface.
A fast, distributed, high performance gradient boosting framework
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.TensorFlow.Redist contains the TensorFlow C library version 1.13.1 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.
.NET Bindings for TensorFlow
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.
Provides Graph RBAC management (Fluent) capabilities for Microsoft Azure.