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@aparrish
aparrish / understanding-word-vectors.ipynb
Last active February 20, 2025 02:47
Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@gruber
gruber / Paste URL From Safari Tab.scpt
Created June 29, 2015 00:01
Paste URL From Safari Tabs
set _old_delims to AppleScript's text item delimiters
set AppleScript's text item delimiters to {""}
tell application "System Events"
set _current_app to name of the first process whose frontmost is true
end tell
tell application "Safari"
set _urls to {}
repeat with i from 1 to 6 -- how many Safari windows to show URLs from
@ChangUk
ChangUk / GibbsLDA.py
Last active April 19, 2021 12:05
Collapsed Gibbs sampler for Latent Dirichlet Allocation
#-*- coding: utf-8 -*-
"""
GIBBS SAMPLING IMPLEMENTATION FOR LATENT DIRICHLET ALLOCATION (2003)
IMPLEMENTED BY CHANG-UK, PARK
DATA FORMAT: "DocID\t WordID\t FREQUENCY\n"
"""
import sys
import random
require 'rubygems'
require 'mechanize'
FIRST_NAME = 'FIRST_NAME'
LAST_NAME = 'LAST_NAME'
PHONE = 'PHONE'
EMAIL = '[email protected]'
PARTY_SIZE = 2
SCHEDULE_RANGE = { :start_time => '19:00', :end_time => '20:30' }
@nicoleslaw
nicoleslaw / 1_Tiny_Content_Framework.md
Last active January 24, 2025 16:39
Tiny Content Framework

Tiny Content Framework

About the project

This is a tiny content strategy framework focused on goals, messages, and branding. This is not a checklist. Use what you need and scrap the rest. Rewrite it or add to it. These topics should help you get to the bottom of things with clients and other people you work with.

Give me feedback on Twitter (@nicoleslaw) or by email ([email protected]).

Contents

@mblondel
mblondel / lda_gibbs.py
Last active October 9, 2023 11:31
Latent Dirichlet Allocation with Gibbs sampler
"""
(C) Mathieu Blondel - 2010
License: BSD 3 clause
Implementation of the collapsed Gibbs sampler for
Latent Dirichlet Allocation, as described in
Finding scientifc topics (Griffiths and Steyvers)
"""