Top 20 NuGet Packages depending on Math.NET Numerics for F#

Total dependencies: 28

The OPTANO Modeling library allows you to use C# as a Modeling language for mathematical optimization (mixed integer programming (MIP) and linear programming (LP)). It has a lightweight footprint and connects to several solvers.
Math.NET Symbolics is a basic open source computer algebra library for .Net and Mono. Written in F# but works well in C# as well. Supports .Net Framework 4.5 or higher and .Net Standard 2.0 or higher, on Windows, Linux and Mac.
FsLab is a combination package that supports doing data science with F#. FsLab includes literate scripting converted to HTML and PDF, and by default references Deedle (a data frame library), FSharp.Data (for data access) and XPlot (for visualization). You can optionally add any other nuget packages.
Package Description
Package Description
Deedle implements an efficient and robust frame and series data structures for manipulating with structured data. It supports handling of missing values, aggregations, grouping, joining, statistical functions and more. For frames and series with ordered indices (such as time series), automatic align...
Neural architecture search for deep learning models based on the NEAT (Neuroevolution of Augmenting Topologies) methodology. Two types of evolutionary drivers are included: a) Cultural Algorithms and b) NEAT's basic elitist approach. See project site for details. CATNeuro requires a translator / eva...
FSharp library which implements state, async state, and random monads.
Quantum research libraries for quantum simulation (non-commercial).
This package contains a library for turning FsLab experiments written as script files into HTML and LaTeX reports.
This package contains a library for turning FsLab experiments written as script files into HTML and LaTeX reports. The easiest way to use the library is to use the 'FsLab Journal' Visual Studio template.
FsLab is a single package that gives you all you need for doing data science with F#. FsLab includes explorative data manipulation library, type providers for easy data access, simple charting library, support for integration with R and numerical computing libraries. All available in a single packag...
An F# library for model-fitting model-selection (MFMS) of ecological models to observational data. The library was developed for individual-based plant modelling using tree ring time-series, but can be used for any ecological models.
A power series is characterized by an infinite list of coefficients: a0 + a1*x + a2*x2 + a3*x3 + ... . For example, the power seres for cos x is 1 - x2/2! + x4/4! - x6/6! + ... and the coefficients for the powers of x in this series are 1, 0, -1/2, 0, 1/24, ... This F# class library models the coef...
.NET ORM, primarily for F#
Algorithms and solutions for the book Elements of Financial Risk Management by Peter F. Christoffersen written on F# and R
A Supervised Learning Library for F#
LtlSharp aims at providing model checking feature as a library for easy integration with external tools.
Supporting infrastructure for data-oriented and metadata-driven development (ALPHA!)