Top 20 NuGet differentiation Packages

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.
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. If using at least .NET Framework 4.6.1 or .NET Core 2.0, we recommend using one of our NMa...
The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis. This is the main package that contains all the core functionality. For optimal performance, we strongly recommend also referencing one of the native packages based on Intel's Mat...
xFunc.Maths is a simple and easy to use library that allows you to build mathematical expressions.
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...
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...
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...
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...
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...
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 Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis. This package contains the single-precision mixed-mode native provider. This is the recommended native provider for the classic .NET Framework on Windows. Supports .NET Framework ...
The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis. This package contains the single-precision mixed-mode native provider. This is the recommended native provider for the classic .NET Framework on Windows. Supports .NET Framework ...
The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis. This package contains the mixed-mode native provider. This is the recommended native provider for the classic .NET Framework on Windows. Supports .NET Framework 4.0 and 4.6+ on W...
The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis. This package contains the mixed-mode native provider. This is the recommended native provider for the classic .NET Framework on Windows. Supports .NET Framework 3.5 on Windows.
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.
Package Description
DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/
DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/