JosephCatrambone

#!/usr/bin/env python

from PIL import Image
from glob import iglob
import h5py
import tensorflow as tf
import numpy
import logging
import itertools

JosephCatrambone

import numpy
import math

def make_sphere(steps=512):
	points = list()
	colors = list()
	for s in range(steps):
		y = math.sin((8 * s / float(steps)) * 2 * math.pi)
		x = math.cos((32 * s / float(steps)) * 2 * math.pi)

JosephCatrambone

Keybase proof

I hereby claim:

• I am JosephCatrambone on github.
• I am josephcatrambone (https://keybase.io/josephcatrambone) on keybase.
• I have a public key whose fingerprint is E974 FC47 9D86 9756 4EE7 C912 2D23 E135 F6F0 661B

To claim this, I am signing this object:

JosephCatrambone

#!/usr/bin/env python
#author: Joseph Catrambone
"""
Copyright 2018 Joseph Catrambone

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OU

JosephCatrambone

//@author Joseph Catrambone
// See https://www.josephcatrambone.com/?p=967 for the original blog post and the derivation of all formulas.

class Point {
	constructor(x, y, z) {
		this.x = x;
		this.y = y;
		this.z = z;
	}
	dot(other) {

JosephCatrambone

#!/usr/bin/env python
#@author: Joseph Catrambone <jo.jcat _ gmail>
import sys, os
import math
import random
import time
from glob import iglob

import numpy
import tensorflow as tf

JosephCatrambone

#!/usr/bin/env python
# JAD: Joseph's Automatic Differentiation

from collections import deque

class Graph(object):
	def __init__(self):
		self.names = list()
		self.operations = list()
		self.derivatives = list() # A list of LISTS, where each item is the gradient with respect to that argument.

JosephCatrambone

import sys, os
import math
from random import randint, choice
from glob import glob

import tensorflow as tf
import numpy as np
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True

JosephCatrambone

lookup = ['Aleph', 'Alpha', 'Antares', 'Beta', 'Bootes', 'Barum', 'Ceres', 'Charion', 'Chardibus', 'Chalupa', 'Delta', 'Darion', 'Doolan', 'Echo', 'Eres', 'Eribus', 'Encephalus', 'Ender', 'Foxtrot', 'Famicom', 'Gamma', 'Gregorio', 'Grace', 'Gaea', 'Gaia', 'Howzer', 'Hera', 'Hosio', 'Ignus', 'Io', 'Ionus', 'Ibus', 'Jax', 'Jovia', 'Jolo', 'Keras', 'Kodia', 'Li', 'Libra', 'Lol', 'Orphius', 'Orchid', 'Odyssus', 'Persephone', 'Pax', 'Qualude', 'Qi', 'Ra', 'Rez', 'Radium', 'Tia', 'Tori', 'Uso', 'Ura', 'Varia', 'Verit', 'Wex', 'Woolio', 'X', 'Yota', 'Yttrius', 'Zoe', 'Zee', 'Zae', 'Zeebs']

def from_int(num):
	base = len(lookup) # Base whatever.
	name = list()
	while num > 0:
		digit = num%base
		num = num//base
		name.append(lookup[digit])
	string = ""

JosephCatrambone

from __future__ import division
import sys
import math
from PIL import Image

def RGBToHSL(rgb):
	"""Given an RGB tuple in the range of 0-255, returns HSL from 0-1."""
	r = rgb[0]/255.0
	g = rgb[1]/255.0
	b = rgb[2]/255.0