romainl

#!/usr/bin/env sh

# Requirements:
#     git: https://git-scm.com/downloads
#     entr: http://eradman.com/entrproject/
#     ctags: http://ctags.sourceforge.net/ (Exuberant Ctags) or https://ctags.io/ (Universal Ctags)

# Usage:
#     $ cd my_project
#     $ ctagsd

patriciogonzalezvivo

Please consider using http://lygia.xyz instead of copy/pasting this functions. It expand suport for voronoi, voronoise, fbm, noise, worley, noise, derivatives and much more, through simple file dependencies. Take a look to https://github.com/patriciogonzalezvivo/lygia/tree/main/generative

Generic 1,2,3 Noise

float rand(float n){return fract(sin(n) * 43758.5453123);}

float noise(float p){
	float fl = floor(p);
  float fc = fract(p);

danoneata

import numpy as np
import pdb

from sklearn.datasets import make_classification
from sklearn.mixture import GaussianMixture as GMM


def fisher_vector(xx, gmm):
    """Computes the Fisher vector on a set of descriptors.

ssstonebraker

FILE SPACING:

 # double space a file
 sed G

 # double space a file which already has blank lines in it. Output file
 # should contain no more than one blank line between lines of text.
 sed '/^$/d;G'