phreeza’s gists

phreeza / tensorflow_demo.py

Created February 27, 2017 15:53

	import tensorflow as tf

	node1 = tf.constant(3.0, tf.float32)
	node2 = tf.constant(4.0) # also tf.float32 implicitly

	with tf.Session() as sess:
	W = tf.Variable([.3], tf.float32, name='W')
	b = tf.Variable([-.3], tf.float32, name='b')
	x = tf.placeholder(tf.float32, name='x')
	with tf.name_scope("LinearModel"):

phreeza / projector_conjig.json

Created January 27, 2017 11:52

	{
	"embeddings": [
	{
	"tensorName": "Arxiv Titles",
	"tensorShape": [
	10000,
	256
	],
	"tensorPath": "https://gist.githubusercontent.com/phreeza/e6a8f136fcda76bb7820f788e87e8681/raw/967badf2f7794a32e862c4ee2a8a65b59b118fb8/embeddings.tsv",
	"metadataPath": "https://gist.github.com/phreeza/e6a8f136fcda76bb7820f788e87e8681/raw/967badf2f7794a32e862c4ee2a8a65b59b118fb8/metadata.tsv"

phreeza / embeddings.tsv

Created January 27, 2017 11:47

arxiv embeddings

We can't make this file beautiful and searchable because it's too large.

phreeza / parse_arxiv_data.py

Created December 5, 2016 09:42

	import glob

	entries = []
	for n,fname in enumerate(glob.glob('/Users/tom/Downloads/data//.txt')):
	f = open(fname)
	s = f.readlines()
	x = [g.split('\t') for g in ' '.join(s).strip().split('\n ----------\n')][:-1]
	if n%1000 == 0:
	print n,fname
	for raw_entry in x:

phreeza / export-pdf-comments.py

Created August 17, 2016 11:12

Extract comments from a pdf file and dump them into a markdown file for pretty formatting.

	# adapted from http://stackoverflow.com/a/12502560/379300
	# Output should be valid markdown, so it can be turned into a nice pdf with pandoc
	import poppler
	import sys
	import urllib
	import os

	def main():
	input_filename = sys.argv[1]
	# http://blog.hartwork.org/?p=612

phreeza / wedding.py

Last active July 2, 2016 16:43

A small terminal based animation I made for a friend's wedding

	# This script is released 'as is' into the public domain
	from math import cos,sin
	import os
	from time import sleep
	def y(p):
	return (sin(p)**3)
	def x(p):
	return -(13cos(p)-5cos(2p)-2cos(3p)-cos(4t))/16
	while True:
	for r in range(14):

phreeza / scalebars.py

Created March 6, 2016 18:31 — forked from dmeliza/scalebars.py

matplotlib: add scale bars to axes

	# -- coding: utf-8 --
	# -- mode: python --
	# Adapted from mpl_toolkits.axes_grid2
	# LICENSE: Python Software Foundation (http://docs.python.org/license.html)

	from matplotlib.offsetbox import AnchoredOffsetbox
	class AnchoredScaleBar(AnchoredOffsetbox):
	def __init__(self, transform, sizex=0, sizey=0, labelx=None, labely=None, loc=4,
	pad=0.1, borderpad=0.1, sep=2, prop=None, **kwargs):
	"""

phreeza / keybase.md

Created February 6, 2016 17:47

I hereby claim:

I am phreeza on github.
I am tmco (https://keybase.io/tmco) on keybase.
I have a public key whose fingerprint is CD4C 0BFB 64C8 D681 4227 561E 5924 70A9 0C46 A0EE

To claim this, I am signing this object:

phreeza / himawari-8.py

Last active January 27, 2016 10:18 — forked from jarmitage/himawari-8.py

Himawari-8 Wallpaper Bot: Fresh images of the whole Earth from space, every 10 minutes

	import urllib
	import datetime as dt
	from datetime import timedelta
	import pytz
	from PIL import Image
	import numpy as np
	import subprocess
	import socket
	import os

phreeza / test_conv_reg.py

Created June 12, 2015 17:27

Test the regularisation parameter on the convolutional Layer for keras

	# Test the regularisation parameter on the convolutional Layer

	from keras.datasets import mnist
	from keras.models import Sequential
	from keras.layers.convolutional import Convolution2D
	from keras.layers.core import Dense,Flatten
	from keras.utils import np_utils
	from keras.regularizers import l2

	import numpy as np

Thomas McColgan phreeza