returned for machine learning
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.
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...
Provides Machine Learning WebServices management capabilities for Microsoft Azure.
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology.
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...
Provides developers with a library to create and manage machine learning compute resources.
ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
Provides learning algorithms and models for DecisionTree regression and classification.
Provides cross-validation, training/test set samplers and learning curves for SharpLearning.
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.
Provides learning algorithms and models for RandomForest and ExtraTrees regression and classification.
Provides classification, regression, impurity and ranking metrics.
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
11,909 total downloads
Wikiled Machine Learning Utilities
Provides ensemble learning for regression and classification.
Provides learning algorithms and models for GradientBoost regression and classification.
Provides optimization algorithms.