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import argparse
import os
import models
from util import util
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('-d0','--dir0', type=str, default='./imgs/ex_dir0')
parser.add_argument('-d1','--dir1', type=str, default='./imgs/ex_dir1')
parser.add_argument('-o','--out', type=str, default='./imgs/example_dists.txt')
parser.add_argument('--use_gpu', action='store_true', help='turn on flag to use GPU')
simmimourya / gist:d83e07be5907b1419e6d744a91342faa
Created Feb 14, 2017 — forked from entaroadun/gist:1653794
Recommendation and Ratings Public Data Sets For Machine Learning
View gist:d83e07be5907b1419e6d744a91342faa

Movies Recommendation:

Music Recommendation:

View parser_sequence.m
clothings = sbu.Fashionista.clothings;
or clothings = sm.clothings29; %Load trained.mat and in sm
value = {};
valuestr = cellstr(value);


  • Create 2 new Code-In tasks by 1st Dec

    • One
    • Two
  • Fix merges in Cyvlfeat


  • Pycon Pune Speaker application. Deadline: 29.11.2016
  • Register for Fossasia speaker. Quick! -_-
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