Slice xuanhan863

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

I've been interested in computer vision for a long time, but I haven't had any free time to make any progress until this holiday season. Over Christmas and the New Years I experimented with various methodologies in OpenCV to detect road signs and other objects of interest to OpenStreetMap. After some failed experiments with thresholding and feature detection, the excellent /r/computervision suggested using the dlib C++ module because it has more consistently-good documentation and the pre-built tools are faster.

After a day or two figuring out how to compile the examples, I finally made some progress:

Compiling dlib C++ on a Mac with Homebrew

Clone dlib from Github to your local machine:

Direct links to free Springer maths books (pdf versions)

duplicates = multiple editions

A Classical Introduction to Modern Number Theory,Kenneth IrelandMichael Rosen

A Course in Arithmetic,Jean-Pierre Serre

OverEncrypt

This is a guide that I wrote to improve the default security of my website https://fortran.io , which has a certificate from LetsEncrypt. I'm choosing to improve HTTPS security and transparency without consideration for legacy browser support.

WARNING: if you mess up settings, lose your certificates, or decide to no longer maintain HTTPS certs, these steps can and will make your domain inaccessible.

I would recommend these steps only if you have a specific need for information security, privacy, and trust with your users, and/or maintain a separate secure.example.com domain which won't mess up your main site. If you've been thinking about hosting a site on Tor, then this might be a good option, too.

The best resources that I've found for explaining these steps are https://https.cio.gov , https://certificate-transparency.org , and https://twitter.com/konklone

	#!/usr/local/python/bin
	# coding=utf-8

	'''Implements a simple log library.

	This module is a simple encapsulation of logging module to provide a more
	convenient interface to write log. The log will both print to stdout and
	write to log file. It provides a more flexible way to set the log actions,
	and also very simple. See examples showed below:

	from PIL import Image
	from PIL.ExifTags import TAGS, GPSTAGS

	def get_exif_data(image):
	"""Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
	exif_data = {}
	info = image._getexif()
	if info:
	for tag, value in info.items():
	decoded = TAGS.get(tag, tag)

	MIDDLEWARE_CLASSES = MIDDLEWARE_CLASSES + (
	'yourapp.middleware.ProfileMiddleware',
	'yourapp.middleware.CProfileMiddleware'
	)

	# to generate your dhparam.pem file, run in the terminal
	openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048