Facundo Quiroga facundoq

## mandelbrot-julia-fractal-js
<!DOCTYPE html>
<html>
<head>
<title>Mandelbrot</title>
<style>
html, body { width: 100%; height: 100%; margin: 0; padding: 0}
#leap-overlay { position: fixed; top: 0; left: 0;}
</style>

</head>

## poligon_from_set_of_points
function [poligon,indices]=poligon_from_set_of_points(points,max_distance)
%
% Note that a subset of the points may be selected if the distance between
% two points exceeds max_distance

dist = pdist2(points,points);

N = size(points,1);
indices = NaN(1,N);
indices(1) = 1; % first point is first row in x matrix

## mnist-lenet-without-fit.jl
using MXNet


function accuracy(predicted_probability::mx.NDArray,label::mx.NDArray)
  predicted_label=copy(mx.argmax(predicted_probability,axis=1))
  julia_label=copy(label)
  result=sum(predicted_label.==julia_label)
  result
end

## synthetic2d_dataset.py
import numpy as np
import matplotlib.pyplot as plt

n=200 # samples per center
centers= [ [10,5], [-2,4], [13,-25], [11,20], [15,-30], [3,-2], ] # centers
#centers= [ [10,5], [-2,4], [11,20], [15,-34], ]
dataset=np.zeros((0,3))
sigma=2

for i in range(len(centers)):

## video_from_image.py
# IMPORTANT install packages from command line
# pip install numpy scikit-video scikit-image

import skvideo.io
import numpy as np
from skimage import transform
import skimage.io
import os

# read original image

## greekLettersXmodmap
keycode  26 = e E e E Greek_epsilon Greek_EPSILON Greek_epsilon Greek_EPSILON
keycode  27 = r R r R Greek_rho Greek_RHO Greek_rho Greek_RHO
keycode  28 = t T t T Greek_theta Greek_THETA Greek_theta Greek_THETA
keycode  33 = p P p P Greek_pi Greek_PI Greek_pi Greek_PI
keycode  38 = a A a A Greek_alpha Greek_ALPHA Greek_alpha Greek_ALPHA
keycode  39 = s S s S Greek_sigma Greek_SIGMA Greek_sigma Greek_SIGMA
keycode  40 = d D d D Greek_delta Greek_DELTA Greek_delta Greek_DELTA
keycode  41 = f F f F Greek_phi Greek_PHI Greek_phi Greek_PHI
keycode  42 = g G g G Greek_gamma  Greek_GAMMA Greek_gamma  Greek_GAMMA
keycode  56 = b B b B Greek_beta Greek_BETA Greek_beta Greek_BETA
	<!DOCTYPE html>
	<html>
	<head>
	<title>Mandelbrot</title>
	<style>
	html, body { width: 100%; height: 100%; margin: 0; padding: 0}
	#leap-overlay { position: fixed; top: 0; left: 0;}
	</style>

	</head>
	function [poligon,indices]=poligon_from_set_of_points(points,max_distance)
	%
	% Note that a subset of the points may be selected if the distance between
	% two points exceeds max_distance

	dist = pdist2(points,points);

	N = size(points,1);
	indices = NaN(1,N);
	indices(1) = 1; % first point is first row in x matrix
	using MXNet


	function accuracy(predicted_probability::mx.NDArray,label::mx.NDArray)
	predicted_label=copy(mx.argmax(predicted_probability,axis=1))
	julia_label=copy(label)
	result=sum(predicted_label.==julia_label)
	result
	end
	import numpy as np
	import matplotlib.pyplot as plt

	n=200 # samples per center
	centers= [ [10,5], [-2,4], [13,-25], [11,20], [15,-30], [3,-2], ] # centers
	#centers= [ [10,5], [-2,4], [11,20], [15,-34], ]
	dataset=np.zeros((0,3))
	sigma=2

	for i in range(len(centers)):
	# IMPORTANT install packages from command line
	# pip install numpy scikit-video scikit-image

	import skvideo.io
	import numpy as np
	from skimage import transform
	import skimage.io
	import os

	# read original image
	keycode 26 = e E e E Greek_epsilon Greek_EPSILON Greek_epsilon Greek_EPSILON
	keycode 27 = r R r R Greek_rho Greek_RHO Greek_rho Greek_RHO
	keycode 28 = t T t T Greek_theta Greek_THETA Greek_theta Greek_THETA
	keycode 33 = p P p P Greek_pi Greek_PI Greek_pi Greek_PI
	keycode 38 = a A a A Greek_alpha Greek_ALPHA Greek_alpha Greek_ALPHA
	keycode 39 = s S s S Greek_sigma Greek_SIGMA Greek_sigma Greek_SIGMA
	keycode 40 = d D d D Greek_delta Greek_DELTA Greek_delta Greek_DELTA
	keycode 41 = f F f F Greek_phi Greek_PHI Greek_phi Greek_PHI
	keycode 42 = g G g G Greek_gamma Greek_GAMMA Greek_gamma Greek_GAMMA
	keycode 56 = b B b B Greek_beta Greek_BETA Greek_beta Greek_BETA