Gaussian Packages

MLA (machine learning algorithms): A collection of classfier and machine learning algorythms with a focus on text and speech.

Expectation Maximization algorithm

The gaussian (radial basis function) kernel

Generate random numbers from a Normal distribution

approximation of a random walk time serie

A performance-oriented, fully tested Linear Algebra library

react native ui component for controlled blur, based on popular FXBlurView library

random number generator for specified confidence interval

Seedable random generator supporting many common distributions. Random numbers and string generation.

A small gaussian blur library for tensorflow.js (tf.js)

Calculates the standard deviation of a set of data points.

optimized 9-tap gaussian blur for GLSL

Fit data with gaussian mixture by EM algorithm

generate gaussian noise

get a gaussian normal distribution from a uniform distribution

An implementation of a Gaussian Mixture class in one dimension, that allows to fit models with an Expectation Maximization algorithm.

Implements gaussian kernel regression smoothing in pure javascript

Expectation maximization using multivariate gaussian distribution library - clustering lib

Generates normally distributed random variates.

A library for calculating the PDF, CDFs, and quantile function values of common probability distributions