@stdlib/random-strided-lognormal
Fill a strided array with pseudorandom numbers drawn from a lognormal distribution.
Fill a strided array with pseudorandom numbers drawn from a lognormal distribution.
Fill a strided array with pseudorandom numbers drawn from a normal distribution.
Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.
Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.
Create a readable stream for generating pseudorandom numbers drawn from a normal distribution.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution.
Create a readable stream for generating pseudorandom numbers drawn from a normal distribution.
Fill a strided array with pseudorandom numbers drawn from a Student's t distribution.
Applies a windowing function to an array of data, making it ready to be FFT'd.
Port of NumPy's random.multivariate_normal to Node.JS
Forked Mark Kellogg 3D viewer with customizable container styles
optimized 9-tap gaussian blur for GLSL
optimized 9-tap gaussian blur for GLSL
A TypeScript model of a Gaussian distribution
Three.js-based 3D Gaussian splat viewer
An advanced 3D Gaussian Splatting renderer for THREE.js
Three.js-based 3D Gaussian splat viewer
Three.js-based 3D Gaussian splat viewer