Top 20 NuGet Packages depending on Math.NET Numerics

imbSCI libraries will help you with in-code data annotation for easier reporting, some interesting data structures (like directed and free graphs, multidimensional collections…), serialization and data manipulation, script driven reporting, single-model for multiple-outputs, static web site generati...

This package contains all the Mid-Layer components needed to measure with a VNA device.

Companion Library for RobotRaconteurNET. Contains standard service definition types, Abstract Robot, parsers, and converters

BlockNet.Remote is an extention for BlockNet that permits communication among sessions.

MSTest TestFramework Extensions such as BenchmarkTest or ExpectedExceptionWithMessage attributes or an embedded manifest resource helper class.

NNLib library implements MLP neural network, gradient descent and Levenberg–Marquardt algorithms.

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...

Package Description

Package Description

Package Description

This is the .net standard 2 version of BrightWire.CUDA which adds CUDA support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU (x64 only).

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.

Bright Wire CUDA adds GPU support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU.

RIDGID Services REST API Client

Bright Wire is an open source machine learning library for .net core. Includes neural networks (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.

Terradue.OpenSearch.Kml is a plugin for Terradue.OpenSearch library targeting .NET 4.0 and above that provides an easy way to perform OpenSearch query for KML format

.NET ORM, primarily for F#

Supporting infrastructure for data-oriented and metadata-driven development (ALPHA!)

Supporting infrastructure for data-oriented and metadata-driven development