MKL.NET VS AutoDiff

Compare MKL.NET vs AutoDiff and see what are their differences.

AutoDiff

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions. (by alexshtf)
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MKL.NET AutoDiff
3 0
51 67
- -
8.9 0.0
4 months ago almost 4 years ago
C# C#
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

MKL.NET

Posts with mentions or reviews of MKL.NET. We have used some of these posts to build our list of alternatives and similar projects.

AutoDiff

Posts with mentions or reviews of AutoDiff. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning AutoDiff yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing MKL.NET and AutoDiff you can also consider the following projects:

MathNet - Math.NET Numerics

AngouriMath - Open-source cross-platform symbolic algebra library for C# and F#. One of the most powerful in .NET. Can be used for both production and research purposes.

Microsoft Automatic Graph Layout - A set of tools for graph layout and viewing

Math3D - A .NET Standard 2.0 library for simple and efficient 3D math that is a feature-rich replacement for System.Numerics https://vimaec.github.io/Math3D

GeometRi - Simple and lightweight computational geometry library for .Net

UnitConversion - Expansible Unit Conversion Library for .Net Core and .Net Framework

daany - Daany - .NET DAta ANalYtics .NET library with the implementation of DataFrame, Time series decompositions and Linear Algebra routines BLASS and LAPACK.