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Found 122 packages
MathNet.Numerics✓
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac.
v5.0.0
↙ 58.4M / total
mathnumericstatisticsprobabilityintegration
MathNet.Numerics.Signed✓
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac. This package contains strong-named assemblies for legacy use cases (not recommended).
v5.0.0
↙ 37.0M / total
mathnumericstatisticsprobabilityintegration
MathNet.Numerics.FSharp✓
F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac.
v5.0.0
↙ 4.0M / total
fsharpF#mathnumericstatistics
MathNet.Numerics.MKL.Win-x64✓
Intel oneAPI MKL native libraries for Math.NET Numerics on Windows.
v3.0.0
↙ 1.1M / total
mathnumericstatisticsprobabilityintegration
CenterSpace.NMath.Standard.Windows.X64
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 solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires Visual Studio 2015-2019 C++ x64 runtime. Requires x64 hardware.
v7.4.2.16
↙ 954.0K / total
mathstatisticsnumericsprobabilitylinear
Extreme.Numerics
Numerics.NET (formerly 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 Math Kernel Library (MKL). Supports .NET 5.0-8.0+, .NET Framework 4.62+, .NET Standard 2.0, and .NET Core 3.1 on Windows, Linux and Mac.
v8.1.25
↙ 1.5M / total
mathstatisticsprobabilitymachinelearning
MathParser.org-mXparser
mXparser is a super easy, rich, fast and highly flexible math expression parser library (parser and evaluator of mathematical expressions / formulas provided as plain text / string). Software delivers easy to use API for JAVA, Android and C# .NET/MONO (Common Language Specification compliant: F#, Visual Basic, C++/CLI). *** If you find the software useful donation or purchase is something you might consider: https://mathparser.org/donate/ *** Online store: https://payhip.com/INFIMA *** Scalar Scientific Calculator, Charts and Scripts, Scalar Lite: https://play.google.com/store/apps/details?id=org.mathparser.scalar.lite *** Scalar Pro: https://play.google.com/store/apps/details?id=org.mathparser.scalar.pro *** ScalarMath.org: https://scalarmath.org/ *** MathSpace.pl: https://mathspace.pl/ ***
v6.1.0
↙ 4.2M / total
MathMathematicsMathematicalExpressionExpressions
DetectiveAI
The 'DetectiveAI' library provides a robust AI-generated text detection service. It leverages multiple advanced analysis techniques to assess the likelihood of a given text being AI-generated. The service provides a probability score between 0 and 1, with 0 indicating a lower probability and 1 indicating a higher probability of AI authorship.
v1.0.0
↙ 3.6M / total
AIDetectionTextAnalysisNatural
MathNet.Numerics.MKL.Win✓
Intel oneAPI MKL native libraries for Math.NET Numerics on Windows.
v3.0.0
↙ 536.6K / total
mathnumericstatisticsprobabilityintegration
CenterSpace.NMath.Standard.Linux.X64
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 solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires libgcc linux. Requires x64 hardware.
v7.4.2.16
↙ 333.6K / total
mathstatisticsnumericsprobabilitylinear
pkg
ProbabilityToFriendlyString
Make probabilities more intuitive by converting them to odds (i.e. 72.3% becomes "5 in 7")
v1.1.0
↙ 1.9K / total
probabilityodds
CenterSpace.NMath.Stats
Classes for data manipulation and statistical computation, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization.
v4.2.0.58
↙ 66.2K / total
statisticsprobabilityregressionhypothesisANOVA
FluentRandomPicker
Fluent Random Picker is a nice, performant, fluent way to pick random values. Probabilities can be specified, values can be weighted.
v3.6.0
↙ 108.5K / total
randomfluentpickerchoicepick
Angara.Statistics
Includes Mersenne twister random number generator, common probability distributions, statistics and quantiles, kernel density estimator, Metropolis-Hastings MCMC sampler.
v0.1.4
↙ 28.4K / total
statisticsprobabilityfsharp
CenterSpace.NMath.Standard.Windows.X86.X64
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 solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5 or .NET Core 2.0. Does not support .NET Framework. Requires Visual Studio 2017 C++ x86 and x64 runtimes. Requires x64 hardware.
v7.1.0.47
↙ 178.4K / total
mathstatisticsnumericsprobabilitylinear
MathNet.Numerics.OpenBLAS.Win✓
OpenBLAS native libraries for Math.NET Numerics.
v0.2.0
↙ 142.0K / total
mathnumericstatisticsprobabilityintegration
Accord.Statistics
Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related techniques. Provides methods for computing variances, standard deviations, averages, and many other statistical measures. This package is part of the Accord.NET Framework.
v3.8.0
↙ 7.2M / total
accord.netaforge.netframeworkstatisticskernel
pkg
NDice
Dice toolkit for .Net. Construct dice with interesting behaviors.
v0.9.1
↙ 45.6K / total
dicerandomgamblerweightedprobability
CenterSpace.NMath.Standard.WindowsAndLinux.X64
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 solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires x64 hardware. On Windows, requires Visual Studio 2017 C++ x64 runtime. On Linux, requires libgcc.
v7.1.0.47
↙ 142.8K / total
mathstatisticsnumericsprobabilitylinear
MathNet.Numerics.FSharp.Signed✓
F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac. This package contains strong-named assemblies for legacy use cases (not recommended).
v5.0.0
↙ 106.4K / total
fsharpF#mathnumericstatistics
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