naomifridman’s gists

naomifridman / 3_install_deeplearning_libs.sh

Created April 25, 2016 16:00 — forked from graphific/3_install_deeplearning_libs.sh

Installation script for Deep Learning Libraries on Ubuntu 14.04

	#!/usr/bin/env bash
	# Installation script for Deep Learning Libraries on Ubuntu 14.04, by Roelof Pieters (@graphific)
	# BSD License

	orig_executor="$(whoami)"
	if [ "$(whoami)" == "root" ]; then
	echo "running as root, please run as user you want to have stuff installed as"
	exit 1
	fi
	###################################

naomifridman / sample_Form2Filer_2018.csv

Last active October 28, 2018 05:13

sample of Form2Filer_2018.csv

We can make this file beautiful and searchable if this error is corrected: It looks like row 7 should actually have 17 columns, instead of 15 in line 6.

	,CANDIDATE_ID,CANDIDATE_NAME,PARTY,PARTY_CODE,CANDIDATE_OFFICE,CANDIDATE_OFFICE_CODE,CANDIDATE_OFFICE_STATE,CANDIDATE_OFFICE_STATE_CODE,CANDIDATE_OFFICE_DISTRICT,CITY,STATE,ZIP,ELECTION_YEAR,RECEIPT_DATE,REPORT_YEAR,BEGIN_IMAGE_NUMBER
	0,H8DC00192,"CHEEKS, JOHN C",Independent American Party,IAP,House,H,District Of Columbia,DC,0.0,WASHINGTON,DC,20007.0,2018,18-OCT-18,2018,201810180300238682
	1,H8NJ07256,"MOXLEY, DIANE",Green Party,GRE,House,H,New Jersey,NJ,7.0,GARWOOD,NJ,7027.0,2018,17-OCT-18,2018,201810170300237429
	2,S8RI00177,"COSTA, MICHAEL",Independent,IND,Senate,S,Rhode Island,RI,0.0,BRISTOL,RI,28099998.0,2018,16-OCT-18,2018,201810169125548990
	3,H8PA16094,"BEEMAN, EBERT GORDAN",Libertarian Party,LIB,House,H,Pennsylvania,PA,16.0,ERIE,PA,16510.0,2018,13-OCT-18,2018,201810139124739087
	4,H8MD04239,"BISHOP, DAVID ANTHONY DARK HORSE",Libertarian Party,LIB,House,H,Maryland,MD,4.0,ARNOLD,MD,21012.0,2018,12-OCT-18,2018,201810129124516955
	5,S8ME00171,"RILEY JR, JAMES N",Unknown,,Senate,S,Maine,ME,0.0,,,,2018,11-OCT-1

naomifridman / indiv_header_file.csv

Created October 28, 2018 07:30

Header file for election data

	CMTE_ID	AMNDT_IND	RPT_TP	TRANSACTION_PGI	IMAGE_NUM	TRANSACTION_TP	ENTITY_TP	NAME	CITY	STATE	ZIP_CODE	EMPLOYER	OCCUPATION	TRANSACTION_DT	TRANSACTION_AMT	OTHER_ID	TRAN_ID	FILE_NUM	MEMO_CD	MEMO_TEXT	SUB_ID

naomifridman / sampled_itcont_2018.csv

Created October 29, 2018 21:07

sample data of election row transaction data

CMTE_ID	ENTITY_TP	EMPLOYER	OCCUPATION	TRANSACTION_DT	TRANSACTION_AMT
C00629618	IND	PRINCIPAL	DOUBLE NICKEL ADVISORS	2017-01-03	40
C00473249	IND		RETIRED	2017-01-20	500
C00397455	IND	PHARMERICA	CEO	2017-01-20	192
C00264689	IND	USPS	LETTER CARRIER	2017-01-18	250
C00139659	IND	SELF EMPLOYED	TRAVEL AGENT	2017-01-10	250

naomifridman / sample_titanic.csv

Created November 5, 2018 19:44

Survived	Pclass	Sex	Age	SibSp	Parch	Fare	Embarked
1	3	female	1.0	0	2	15.7417	C
1	2	male		0	0	13.0	S
1	1	female		1	0	51.8625	S
1	1	male	40.0	0	0	31.0	C
0	2	male	34.0	0	0	13.0	S

naomifridman / min-char-rnn.py

Created November 22, 2022 12:33 — forked from karpathy/min-char-rnn.py

Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy

	"""
	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)

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