morcefaster

Preface

Hello everyone. With Ceb drama getting so much traction, I decided to do what any rational person would do in this situation - download all public matches of all professional dota 2 players and then scan the all-chat for any racism or naughty naughty words, so the j͇͕͙ͣu͒͆s̼̠͍̖̮̳ͮ̃t̫̙̯͎ͬ̇̊̄iͨć̼͓ͬͨ͑ͣe͉̜̫̱̠̘̋̒ͅ can be upheld once and for all.

There are several nuances that stood in my way.

1. Many professionals' pubs are kept private.
2. Most of the trashtalk happens in ally chat, which isn't saved.
3. Some of the trashtalk happens over mic... which again, isn't saved.
4. Some of the trashtalk happens on smurf accounts, which I did not include here.

generall

ksharsha

ffmpeg -i data/video.mp4 -vcodec h264 -b:v 1000k -acodec mp2 data/output.mp4

donnykurnia

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xPaw

// ==UserScript==
// @name                Steam Queue Auto Discoverer
// @description         Discover the Steam queue three times to get the sale cards
// @version             2.3.0
// @namespace           https://gist.github.com/xPaw/73f8ae2031b4e528abf7
// @icon                https://store.steampowered.com/favicon.ico
// @match               https://store.steampowered.com/explore*
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// ==/UserScript==

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

PurpleBooth

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

marcanuy

1.	my+	1001.	se+	2001.	thedaily+	3001.	empire+	4001.	herb+
2.	+online	1002.	test+	2002.	giant+	3002.	+cook	4002.	+teen
3.	the+	1003.	fish+	2003.	survey+	3003.	+deluxe	4003.	affordable+
4.	+web	1004.	hk+	2004.	+conference	3004.	+crunch	4004.	proto+
5.	+media	1005.	florida+	2005.	twit+	3005.	michigan+	4005.	+ity
6.	web+	1006.	fine+	2006.	pick+	3006.	cars+	4006.	myhome+
7.	+world	1007.	loan+	2007.	+dvd	3007.	+forest	4007.	plastic+
8.	+net	1008.	page+	2008.	cinema+	3008.	yacht+	4008.	+kc
9.	go+	1009.	fox+	2009.	desi+	3009.	+wallet	4009.	+foot
10.	+group	1010.	+gift	2010.	act+	3010.	+contest	4010.	+sup