Found 737 packages
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.
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 ONNX Runtime for .Net platforms
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology.
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
ML.NET component for LightGBM
Microsoft.ML.Tokenizers contains the implmentation of the tokenization used in the NLP transforms.
The core of the Accord.NET Framework. Contains basic classes such as general exceptions and extensions used by other framework libraries.
ML.NET component for FastTree
Microsoft Azure management client SDK for Azure resource provider Microsoft.MachineLearningServices.
Redistributable components for package 'AWSSDKCPP-MachineLearning'. This package should only be installed as a dependency. (This is not the package you are looking for).
Amazon Machine Learning Client for the AWS SDK for C++. AWS SDK for C++ provides a modern C++ (version C++ 11 or later) interface for Amazon Web Services (AWS). It is meant to be performant and fully functioning with low- and high-level SDKs, while minimizing dependencies and providing platform portability (Windows, OSX, Linux, and mobile).
Microsoft.ML.Mkl.Redist contains the MKL library redistributed as a NuGet package.
This package contains easy-to-use and high-performance libraries for data analysis and transformation.
Google APIs Client Library for working with Ml v1. Product documentation is available at: https://cloud.google.com/ml/ API reference documentation for this package is available at: https://googleapis.dev/dotnet/Google.Apis.CloudMachineLearningEngine.v1/latest/api/Google.Apis.CloudMachineLearningEngine.v1.html The source code for this package is available at: https://github.com/google/google-api-dotnet-client/tree/master/Src/Generated/Google.Apis.CloudMachineLearningEngine.v1 Supported Platforms: - .NET Framework 4.6.2+ - .NET Standard 2.0 - .NET 6.0+ Incompatible platforms: - .NET Framework < 4.6.2 - Silverlight - UWP (will build, but is known not to work at runtime) - Xamarin/MAUI - Windows 8 Apps - Windows Phone 8.1 - Windows Phone Silverlight 8.0
Microsoft.ML.TimeSeries contains ML.NET Time Series prediction algorithms. Uses Intel Mkl.
This package contains libraries of the Accord.NET Framework that are NOT available under the LGPL. It currently includes Accord.MachineLearning.GPL, which contains GPL code and thus can only be used inside GPL-compliant applications. Please take extra care before including this library in your projects.
Google's TensorFlow full binding in .NET Standard. Building, training and infering deep learning models. https://tensorflownet.readthedocs.io