Top 20 NuGet algebra Packages

Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net Framework 4.0 or higher and .Net Standard 1.3 or higher, on Windows, Linux and Mac. This package contain...
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net Framework 4.0 or higher and .Net Standard 1.3 or higher, on Windows, Linux and Mac.
F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net Framework 4.5 or higher and .Net Standard 1.6 or higher, on Windows, Linux and Mac.
Math.NET Symbolics is a basic open source computer algebra library. Written in F# but works well in C# as well. Supports .Net 4.0 and Mono on Windows, Linux and Mac.
Bright Wire is an open source machine learning library. Includes neural networks (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.
F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net Framework 4.5 or higher and .Net Standard 1.6 or higher, on Windows, Linux and Mac. This pa...
Intel MKL native libraries for Math.NET Numerics on Linux.
Bright Wire CUDA adds GPU support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU.
Contains a matrix extension library, along with a suite of numerical matrix decomposition methods, numerical optimization algorithms for constrained and unconstrained problems, special functions and other tools for scientific applications. This package is part of the Accord.NET Framework.
This is the .net standard 2 version of Bright Wire. Bright Wire is an open source machine learning library. Includes deep learning (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.
This is the .net standard 2 version of BrightWire.CUDA which adds CUDA support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU (x64 only).
Lightweight optimizer of System.Linq.Expression expressions. Just basic boolean algebra and reductions, constant and tuple/anonymous type eliminations. For side-effect free Expressions. No compilation-subjective optimizations.
.NET library providing reusable math classes.
Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solut...
The GPU-accelerated version of package CenterSpace.NMath. With a few minor exceptions, such as optional GPU configuration settings, the API is identical between CenterSpace.NMath.Premium and CenterSpace.NMath.
Intel MKL native libraries for Math.NET Numerics on Linux.
A simple .NET assembly that provides an abstraction layer for common Raster GIS operations. *Requires ArcGIS Desktop, Engine or Server 10.0, 10.1, 10.2, 10.3, 10.4, 10.5 or 10.6 with Spatial Analyst. A GUI tool is available here: http://jshirota.github.com/Earthworm/ORMappingDepl...
Intel MKL native libraries for Math.NET Numerics on Windows.
Intel MKL native libraries for Math.NET Numerics on Windows.
==================================== Bluebit .NET Matrix Library - 32 bit ==================================== This is a free version of .NET Matrix Library (NML™) which will allow matrix sizes up to 1000 x 1000. The Bluebit .NET Matrix Library (NML™) provides classes for object-oriented linear al...