gdshen

import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.optim as optim

a = torch.ones(1,2)
b = torch.nn.Linear(2,1)
b.zero_grad()

c = b(Variable(a))

gdshen

ruleSets:
- name: tiny_gfwlist
  rules:
  - instagram, PROXY
  - blogspot, PROXY
  - google, PROXY
  - facebook, PROXY
  - youtube, PROXY
  - twitter, PROXY
  - gmail, PROXY

gdshen

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