galtay’s gists

galtay / gist:c9da10e0a8c35877b225abb10c13566e

Last active October 2, 2024 23:03

once-upon-a-time-completions

galtay / freewheel40.txt

Created April 28, 2021 18:25

freewheel40 text

	#WordPress - FreeWheel
	#FreeWheel - Free (non-wordpress.com domains)
	freewheel.tv, 707442, DIRECT
	freewheel.tv, 707874, DIRECT
	#FreeWheel - Premium (non-wordpress.com domains)
	freewheel.tv, 707458, DIRECT
	freewheel.tv, 707890, DIRECT
	#FreeWheel - Advertising (wordpress.com domains)
	freewheel.tv, 824865, DIRECT
	freewheel.tv, 824881, DIRECT

galtay / credco_breitbart_rt.csv

Last active April 30, 2021 18:35

Pool Size	Ad System	Seller ID	Seller Type	Seller Name	Seller Domain
22806	appnexus.com	8233	both	RICH AUDIENCE TECHNOLOGIES SL	richaudience.com
22303	appnexus.com	9393	publisher	Answer Media LLC	answermedia.com
21299	aps.amazon.com	48266a61-b3d9-4cb7-b172-553abc6a42a4	both	Online Media Solutions Ltd	brightcom.com
15874	indexexchange.com	187071	intermediary	Insticator Inc.	insticator.com
2739	pubmatic.com	154037	unknown	unknown	unknown
2566	imonomy.com	2189	publisher	northern and shell	http://www.express.co.uk
1817	indexexchange.com	186684	unknown	unknown	unknown
1200	appnexus.com	1899	both	Zedo (ZINC)	zedo.com
465	quantcast.com	JSnqrmZzFC	unknown	unknown	unknown

galtay / wikipedia_dump_status.py

Last active August 12, 2024 21:08

wikipedia_dump_status

	import argparse
	from dataclasses import dataclass
	from typing import Dict

	import requests


	MIRROR_URL = "https://dumps.wikimedia.org"
	WIKI = "enwiki"

galtay / simpletransformers_example.py

Created May 3, 2020 23:28

simpletransformers multilabel metrics example

	import logging
	import pandas as pd
	from simpletransformers.classification import MultiLabelClassificationModel
	import sklearn.metrics

	texts = [
	["this is class zero", [1, 0, 0]],
	["this is class one", [0, 1, 0]],
	["this is class two", [0, 0, 1]],
	["this is class zero and one", [1, 1, 0]],

galtay / count_lines.py

Created March 24, 2020 02:03

python count file lines

	def count_file_lines(file_path: str) -> int:
	output = subprocess.check_output(["wc", "-l", file_path])
	num_lines = int(output.split()[0])
	return num_lines

galtay / khalid_hilbert.py

Created February 27, 2020 19:13

example hilbert curves for khalid

	import numpy as np
	import time
	from hilbertcurve.hilbertcurve import HilbertCurve


	N = 40
	num_vecs = 100_000


	for p in [1, 2, 3, 4]:

galtay / albedo_nested_links.py

Created February 27, 2020 01:44

Parsing albedo wikitext markup with mwtext

	import mwtext

	albedo_wikitext = """
	{{Other uses}}
	{{Use dmy dates\|date=April 2019}}
	[[File:Albedo-e hg.svg\|thumb\|upright=1.3\|The percentage of [[diffuse reflection\|diffusely reflected]] [[sunlight]] re\
	lative to various surface conditions]]

	'''Albedo''' ({{IPAc-en\|æ\|l\|ˈ\|b\|iː\|d\|oʊ}}) ({{lang-la\|albedo}}, meaning

galtay / test.py

Created June 9, 2019 21:49

testing 1 2 3

	import qwikidata
	print("hello world")

galtay / unet-deconv

Created February 3, 2017 18:35

unet implementation

	def unet_model(batch_size, npix_in, n_channels, n_filters, n_classes, activation='relu'):

	input_layer = Input(batch_shape=(batch_size, npix_in, npix_in, n_channels), name='input')

	dblk1_conv1 = Convolution2D(n_filters, 3, 3, activation=activation, name='dblk1_conv1')(input_layer)
	dblk1_conv2 = Convolution2D(n_filters, 3, 3, activation=activation, name='dblk1_conv2')(dblk1_conv1)
	dblk1_pool = MaxPooling2D(pool_size=(2,2), name='dblk1_pool')(dblk1_conv2)

	dblk2_conv1 = Convolution2D(n_filters * 2, 3, 3, activation=activation, name='dblk2_conv1')(dblk1_pool)
	dblk2_conv2 = Convolution2D(n_filters * 2, 3, 3, activation=activation, name='dblk2_conv2')(dblk2_conv1)

Gabriel Altay galtay