139 packages tagged with “Machinelearning”
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
NumSharp is the fundamental library for scientific computing with .NET providing a similar API to python's numpy scientific library. NumSharp has full N-D, broadcasting and axis support. If you want to use .NET to get started with machine learning, NumSharp will be your best tool.
DirectML Redistributable Package.
This package contains Linux native shared library artifacts for ONNX Runtime with CUDA.
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology.
NumSharp.Lite is the compact version of NumSharp without full datatype supported.
This package contains Windows native shared library artifacts for ONNX Runtime with CUDA.
Microsoft Azure management client SDK for Azure resource provider Microsoft.MachineLearningServices.
Dlib wrapper library written in C++ and C# for Windows, MacOS and Linux Requirements: Visual C++ 2017 Redistributable Package
This is a C# class library containing some very basic geodesic algorithms. It is based on work by Mike Gavaghan and has been enhanced by me to cover also some variants of Mercators projection of the earth to flat maps. I cover Spherical and Elliptical Mercator projections, mapping the earth to a single flat map. I also handle the Universal Transverse Mercator (UTM) projection, dividing the earth into smaller grids which are then each mapped to a flat map. Finally - based on UTM - I implement an algorithm to put a finer grain mesh over the mapped area of the earth to be able to classify a geo-location by a discrete globally unique mesh number. This is done in order to facilitacte the application of some discrete algorithms - especially in the area of machine learning - on geo locations.
Machine Learning library in .NET Core.
Provides learning algorithms and models for DecisionTree regression and classification.
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).
Redistributable components for package 'AWSSDKCPP-MachineLearning'. This package should only be installed as a dependency. (This is not the package you are looking for).
Provides learning algorithms and models for RandomForest and ExtraTrees regression and classification.
Provides classification, regression, impurity and ranking metrics.
The Windows App SDK empowers all Windows Desktop apps with modern Windows UI, APIs, and platform features, including back-compat support. This package contains the Windows Machine Learning APIs.
The world's simplest facial recognition api for .NET This library is ported from https://github.com/ageitgey/face_recognition by C#.
Provides learning algorithms and models for GradientBoost regression and classification.
Provides ensemble learning for regression and classification.
Provides optimization algorithms.
This package contains Windows ML binaries.
Provides learning algorithms and models for AdaBoost regression and classification.
Provides learning algorithms and models for neural net regression and classification.
Dlib wrapper library written in C++ and C# for Windows, MacOS and Linux Requirements: Visual C++ 2017 Redistributable Package, cublas64_92.dll, cudnn64_7.dll, curand64_92.dll and cusolver64_92.dll
An easy and quick way to use libsvm in your .NET projects. Envoy !
Provides learning algorithms and models for XGBoost regression and classification.
Dlib wrapper library written in C++ and C# for Windows, MacOS and Linux Requirements: Visual C++ 2017 Redistributable Package, cublas64_10.dll, cudnn64_7.dll, curand64_10.dll and cusolver64_10.dll