neubig

#!/usr/bin/env python
# -*- coding: utf-8 -*-

# This is a simplified implementation of the LSTM language model (by Graham Neubig)
#
#  LSTM Neural Networks for Language Modeling
#  Martin Sundermeyer, Ralf Schlüter, Hermann Ney
#  InterSpeech 2012
# 
# The structure of the model is extremely simple. At every time step we

entaroadun

Movies Recommendation:

• MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
• Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
• Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
• Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

• Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html

berinhard

" Author: Bernardo Fontes <falecomigo@bernardofontes.net>
" Website: http://www.bernardofontes.net
" This code is based on this one: http://www.cmdln.org/wp-content/uploads/2008/10/python_ipdb.vim
" I worked with refactoring and it simplifies a lot the remove breakpoint feature.
" To use this feature, you just need to copy and paste the content of this file at your .vimrc file! Enjoy!
python << EOF
import vim
import re

ipdb_breakpoint = 'import ipdb; ipdb.set_trace()'