A library that provides extension methods for System.IO.FileInfo and System.IO.DirectoryInfo to support symbolic links using the code from Troy Parsons' blog post http://troyparsons.com/blog/2012/03/symbolic-links-in-c-sharp/.
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.
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...
Enables to work with formulas built in the code or from a string. Computing, derivating, latex rendering, compilation, solving equations and systems of equations analytycally, simplification, and much more. Read more on https://am.angouri.org.
Package containing extensive mathematical capabilities for .NET including:
Solution of mathematical expressions provided in string format with support for a large number of functions, operators, logical expressions and variables.
Solution of systems of linear simultaneous equations.