Top 20 NuGet differentiation Packages

Extreme Optimization Numerical Libraries for .NET.
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.
Extreme Optimization Numerical Libraries for .NET F# interface library.
Extreme Optimization Numerical Libraries for .NET Generic Numerics Library.
Extreme Optimization Numerical Libraries for .NET IronPython interface library
Extreme Optimization Numerical Libraries for .NET Single Precision Numerics Library.
Extreme Optimization Numerical Libraries for .NET Single-Precision Mixed-Mode MKL Provider for .NET 3.5.
Extreme Optimization Numerical Libraries for .NET Mixed-Mode MKL Provider for .NET 3.5.
Extreme Optimization Numerical Libraries for .NET Single-Precision Mixed-Mode MKL Provider for .NET 4.0 and later.
Extreme Optimization Numerical Libraries for .NET Mixed-Mode MKL Provider for .NET 4.0 and later.
Extreme Optimization Numerical Libraries for .NET P/Invoke MKL Provider for Windows.
Extreme Optimization Numerical Libraries for .NET Single-Precision P/Invoke MKL Provider for Windows.
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.
Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning. Make sure to set the platform of your project to x64.
xFunc.Maths is a simple and easy to use library that allows you to build mathematical expressions.
DiffSharp is an automatic differentiation (AD) library. AD allows exact and efficient calculation of derivatives, by systematically invoking the chain rule of calculus at the elementary operator level during program execution. AD is different from numerical differentiation, which is prone to trunca...