zdepablo

import smaclient
from TwitterAPI import TwitterAPI
import matplotlib.pyplot as plt


# Go to http://dev.twitter.com and create an app.
# The consumer key and secret will be generated for you after
consumer_key = <consumer-key>
consumer_secret = <consumer-secret>

zdepablo

install_submodule_git <- function(x, ...) {
  install_dir <- tempfile()
  system(paste("git clone --recursive", shQuote(x), shQuote(install_dir)))
  devtools::install(install_dir, ...)
}
install_submodule_git("https://github.com/jonkeane/mocapGrip")

zdepablo

"""
DyNet implementation of a sequence labeler (POS taggger).
This is a translation of this tagger in PyTorch: https://gist.github.com/hal3/8c170c4400576eb8d0a8bd94ab231232

Basic architecture:
 - take words
 - run though bidirectional GRU
 - predict labels one word at a time (left to right), using a recurrent neural network "decoder"
The decoder updates hidden state based on:
 - most recent word