type: PIN
Consumer key: 3nVuSoBZnx6U4vzUxf5w
Consumer secret: Bcs59EFbbsdF6Sl9Ng71smgStWEGwXXKSjYvPVt7qys
type: PIN
Consumer key: IQKbtAYlXLripLGPWd0HUA
#!/Users/evrial/anaconda3/envs/base/bin/python3.7 | |
# -*- coding: utf-8 -*- | |
import argparse | |
from deep_translator import GoogleTranslator | |
from deep_translator.exceptions import LanguageNotSupportedException | |
def main(): | |
parser = argparse.ArgumentParser( | |
description='Python Google Translator as a command-line tool') | |
parser.add_argument('text', help='The text you want to translate.') |
- word2vec https://arxiv.org/abs/1310.4546 | |
- sentence2vec, paragraph2vec, doc2vec http://arxiv.org/abs/1405.4053 | |
- tweet2vec http://arxiv.org/abs/1605.03481 | |
- tweet2vec https://arxiv.org/abs/1607.07514 | |
- author2vec http://dl.acm.org/citation.cfm?id=2889382 | |
- item2vec http://arxiv.org/abs/1603.04259 | |
- lda2vec https://arxiv.org/abs/1605.02019 | |
- illustration2vec http://dl.acm.org/citation.cfm?id=2820907 | |
- tag2vec http://ktsaurabh.weebly.com/uploads/3/1/7/8/31783965/distributed_representations_for_content-based_and_personalized_tag_recommendation.pdf | |
- category2vec http://www.anlp.jp/proceedings/annual_meeting/2015/pdf_dir/C4-3.pdf |
1. sudo docker pull rhamdeew/lamp | |
2. sudo docker run -v /your_empty_project_path/:/var/www/srv/ -p 80:80 -t -i rhamdeew/lamp /bin/bash | |
3. in container: cp -R /var/www/example/* /var/www/srv | |
4. in container: cd /var/www/srv/ | |
5. in container: ./start.sh | |
6. open http://localhost/1.php | |
Your project structure | |
projectname/ |
For those like me who wish to continue learning about ML using scientific Python stack, check this video workshop by Jake VanderPlas
Here is the code https://github.com/jakevdp/sklearn_pycon2015/
Edward Snowden answered questions after a showing of CITIZENFOUR at the IETF93 meeting; this is a transcript of the video recording.
For more information, see the Internet Society article.