search
Found 174 packages
Accord.MachineLearning
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.
v3.8.0
↙ 3.1M / total
accord.netaforge.netmachinelearningartificial
AWSSDK.MachineLearning✓
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology.
v4.0.2.16
↙ 1.1M / total
AWSAmazoncloudMachineLearningaws-sdk-v4
Microsoft.ML.OnnxRuntime✓
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
v1.24.2
↙ 10.0M / total
nativeONNXRuntimeONNXRuntimeMachine
Azure.ResourceManager.MachineLearning✓
Microsoft Azure management client SDK for Azure resource provider Microsoft.MachineLearningServices.
v1.2.3
↙ 600.3K / total
azuremanagementmachinelearningmachinelearningservicesaml
AWSSDKCPP-MachineLearning.redist
Redistributable components for package 'AWSSDKCPP-MachineLearning'. This package should only be installed as a dependency. (This is not the package you are looking for).
v1.6.20141212.25
↙ 392.5K / total
AWSAmazoncloudaws-sdk-cppnative
AWSSDKCPP-MachineLearning
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).
v1.6.20141212.25
↙ 448.0K / total
AWSAmazoncloudaws-sdk-cppnative
NumSharp
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.
v0.30.0
↙ 4.2M / total
NumpyNumSharpMachineLearningMathScientific
Microsoft.ML.OnnxRuntime.Gpu✓
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
v1.24.2
↙ 2.4M / total
nativeONNXRuntimeONNXRuntimeMachine
pkg
Microsoft.AI.DirectML✓
DirectML Redistributable Package.
v1.15.4
↙ 2.1M / total
AIMachineLearningDirectXD3D12Direct3D12
Microsoft.AI.MachineLearning✓
This package contains Windows ML binaries.
v1.22.0
↙ 118.9K / total
nativeONNXRuntimeONNXRuntimeMachine
Accord.MachineLearning.GPL
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.
v3.8.0
↙ 218.9K / total
accord.netaforge.netmachinelearningartificial
Microsoft.Azure.Management.MachineLearning✓
Provides Machine Learning WebServices management capabilities for Microsoft Azure.
v1.0.1
↙ 196.1K / total
MicrosoftAzureMachineLearningWebServices
Microsoft.ML.OnnxRuntime.Gpu.Linux✓
This package contains Linux native shared library artifacts for ONNX Runtime with CUDA.
v1.24.2
↙ 1.6M / total
nativeONNXRuntimeONNXRuntimeMachine
Microsoft.Quantum.MachineLearning✓
Microsoft's Quantum ML Libraries.
v0.28.302812
↙ 116.0K / total
QuantumQ#Qsharp
pkg
Wikiled.MachineLearning
Wikiled Machine Learning Utilities
v2.5.0.2
↙ 123.8K / total
NumSharp.Lite
NumSharp.Lite is the compact version of NumSharp without full datatype supported.
v0.1.12
↙ 1.5M / total
NumpyNumSharpMachineLearningMathScientific
Microsoft.ML.OnnxRuntime.DirectML✓
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
v1.24.2
↙ 830.4K / total
nativeONNXRuntimeONNXRuntimeMachine
Microsoft.ML.OnnxRuntime.Gpu.Windows✓
This package contains Windows native shared library artifacts for ONNX Runtime with CUDA.
v1.24.2
↙ 788.4K / total
nativeONNXRuntimeONNXRuntimeMachine
pkg
Geodesy
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.
v4.1.0
↙ 462.9K / total
GeodesyMapsGeocachingMachinelearningML
DlibDotNet
Dlib wrapper library written in C++ and C# for Windows, MacOS and Linux Requirements: Visual C++ 2017 Redistributable Package
v19.21.0.20220724
↙ 394.4K / total
dlib.netmachinelearning
page 1next →