bobpoekert

// ==UserScript==
// @name         remove popular videos
// @namespace    http://tampermonkey.net/
// @version      0.1
// @description  try to take over the world!
// @author       You
// @match        https://*.youtube.com/
// @grant        none
// ==/UserScript==

bobpoekert

setInterval(function() { if (window.location.pathname == '/home') { var s = document.querySelectorAll('path[d="M12 21.638h-.014C9.403 21.59 1.95 14.856 1.95 8.478c0-3.064 2.525-5.754 5.403-5.754 2.29 0 3.83 1.58 4.646 2.73.814-1.148 2.354-2.73 4.645-2.73 2.88 0 5.404 2.69 5.404 5.755 0 6.376-7.454 13.11-10.037 13.157H12z"'); for (var i=0; i < s.length; i++) { var e = s[i]; var ee = e.parentElement.parentElement.parentElement.parentElement.parentElement.parentElement.parentElement.parentElement; ee.parentNode.removeChild(ee); }}}, 200);

bobpoekert

setInterval(function() { var s = document.querySelectorAll('path[d="M20.75 2H3.25C2.007 2 1 3.007 1 4.25v15.5C1 20.993 2.007 22 3.25 22h17.5c1.243 0 2.25-1.007 2.25-2.25V4.25C23 3.007 21.993 2 20.75 2zM17.5 13.504c0 .483-.392.875-.875.875s-.875-.393-.875-.876V9.967l-7.547 7.546c-.17.17-.395.256-.62.256s-.447-.086-.618-.257c-.342-.342-.342-.896 0-1.237l7.547-7.547h-3.54c-.482 0-.874-.393-.874-.876s.392-.875.875-.875h5.65c.483 0 .875.39.875.874v5.65z"]'); for (var i=0; i < s.length; i++) { var e = s[i].parentElement.parentElement.parentElement.parentElement.parentElement.parentElement; e.parentElement.removeChild(e); }}, 200);

bobpoekert

(* https://wiki.openstreetmap.org/wiki/Slippy_map_tilenames#Zoom_levels *)


let pi = 3.1415926535897932384626433832795028841

let tile_number zoom lat lon =
  let n = 2. ** (float_of_int zoom) in 
  (* return (Math.floor((tt+180)/360*Math.pow(2,zoom1))); *)
  let xtile = int_of_float (floor ((lon +. 180.) /. 360. *. n)) in 
  (* (Math.floor((1-Math.log(Math.tan(lat*Math.PI/180) + 1/Math.cos(lat*Math.PI/180))/Math.PI)/2 *Math.pow(2,zoom2))) *)

bobpoekert

import numpy as np
from scipy.sparse import csr_matrix
from sklearn.decomposition import TruncatedSVD
import sklearn.cluster as cl
import sys
import os
import threading
from multiprocessing import cpu_count

# your input (graph.bin) represents a set of pairwise counts (thing a, thing b, count)

bobpoekert

def shade(points, width=1280, height=1024):
    
    max_x = np.max(points[:, 0])
    max_y = np.max(points[:, 1])
    min_x = np.min(points[:, 0])
    min_y = np.min(points[:, 1])
    
    bin_width = (max_x - min_x) / width
    bin_height = (max_y - min_y) / height
    

bobpoekert

bobpoekert

https://www.pdf-archive.com/2011/01/01/great-big-hug-cowl-pattern-version-1/great-big-hug-cowl-pattern-version-1.pdf
https://www.pdf-archive.com/2011/01/01/brentsteinbergillustrations/brentsteinbergillustrations.pdf
https://www.pdf-archive.com/2011/01/01/summing-up-transfers-on-january-1st/summing-up-transfers-on-january-1st.pdf
https://www.pdf-archive.com/2011/01/03/10-retro/10-retro.pdf
https://www.pdf-archive.com/2011/01/03/10-vol/10-vol.pdf
https://www.pdf-archive.com/2011/01/03/progress-report-28-12-2010/progress-report-28-12-2010.pdf
https://www.pdf-archive.com/2011/01/03/guide/guide.pdf
https://www.pdf-archive.com/2011/01/03/dating-relationships-and-all-that-awkward-stuff/dating-relationships-and-all-that-awkward-stuff.pdf
https://www.pdf-archive.com/2011/01/04/q1-and-q2/q1-and-q2.pdf
https://www.pdf-archive.com/2011/01/04/q1-and-q2-1/q1-and-q2-1.pdf

bobpoekert

1. train your model in keras in python
2. use serialize() to write the graph with parameters out to a file
3. use load-graph to load that file using the tensorflow java api

bobpoekert

'figure': 2.7995377623971058,
 'heading': 2.7494888513321079,
 'list': 2.8587943944205776,
 'paragraph': 2.9397276751874042,
 'table': 4.1352922428576822