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@ee-in
ee-in / min-char-rnn.py
Created December 2, 2015 22:58 — 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)
@ee-in
ee-in / langoliers.rb
Created December 1, 2015 16:20 — forked from robinsloan/langoliers.rb
Tweet delete script
#!/usr/bin/env ruby
require 'rubygems'
require 'twitter'
require 'json'
require 'faraday'
# things you must configure
PATH_TO_DROPBOX = "/Users/your_name/Dropbox/backup/tweets/" # you need to create this folder
TWITTER_USER = "your_twitter_username"
@ee-in
ee-in / rcp_xml.R
Last active August 29, 2015 14:27 — forked from dsparks/rcp_xml.R
RealClearPolitics XML Scraping
doInstall <- TRUE # Change to FALSE if you don't want packages installed.
toInstall <- c("XML", "ggplot2", "lubridate", "reshape2", "scales")
if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
lapply(toInstall, library, character.only = TRUE)
# Find your XML file from those listed at
# http://cdn.realclearpolitics.com/epolls/charts/
URL <- "http://cdn.realclearpolitics.com/epolls/charts/1171.xml"
parsedXML <- xmlParse(URL) # First pass