mla
MLA (machine learning algorithms): A collection of classfier and machine learning algorythms with a focus on text and speech.
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
react native ui component for controlled blur, based on popular FXBlurView library
random number generator for specified confidence interval
A performance-oriented, fully tested Linear Algebra library
Seedable random generator supporting many common distributions. Random numbers and string generation.
A small gaussian blur library for tensorflow.js (tf.js)
Seedable random number generator supporting many common distributions.
Types and pure functions for basic linear algebra operations
Calculates the standard deviation of a set of data points.
Generates normally distributed random variates.
A library for calculating the PDF, CDFs, and quantile function values of common probability distributions
Expectation maximization using multivariate gaussian distribution library - clustering lib
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