dergachev

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

fperez

gist:10675250

// by dave @ beesandbombs.tumblr.com >:)

void setup() {
  setup_();
  result = new int[width*height][3];
  result_ = new int[width*height][3];
}

int[][] result, result_;
float time;

naveen

Your monthly notice to go through and disconnect unused applications across various services.

Twitter: https://twitter.com/settings/applications
Dropbox: https://www.dropbox.com/account/connected_apps
Facebook: https://www.facebook.com/settings?tab=applications
Google Apps: https://security.google.com/settings/security/permissions?pli=1
Google Ads: http://www.google.com/ads/preferences
Google Account: https://security.google.com/settings/security/secureaccount
Foursquare: https://foursquare.com/settings/connections
Instagram: https://instagram.com/accounts/manage_access

renestalder

Facebook: Unfollow people and pages

See comments section for more up-to-date versions of the script. The original script is from 2014 and will not work as is.

1. Open news feed preferences on your Facebook menu (browser)
2. Click people or pages
3. Scroll down (or click see more) until your full list is loaded
4. Run the script in your browser console

Facebook will block this feature for you while you use it, depending on how much entities you try to unfollow. It automatically unblocks in a couple of hours and you will be able to continue.

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

harperreed

import requests

import urllib
import requests
import json
import random

"""
  here is a wrapper for the *unreleased* electric objects API
  Built by Harper Reed (harper@nata2.org) - @harper

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

genekogan

Instructions for making a Neural-Style movie

The following instructions are for creating your own animations using the style transfer technique described by Gatys, Ecker, and Bethge, and implemented by Justin Johnson. To see an example of such an animation, see this video of Alice in Wonderland re-styled by 17 paintings.

Setting up the environment

The easiest way to set up the environment is to simply load Samim's a pre-built Terminal.com snap or use another cloud service like Amazon EC2. Unfortunately the g2.2xlarge GPU instances cost $0.99 per hour, and depending on parameters selected, it may take 10-15 minutes to produce a 512px-wide image, so it can cost $2-3 to generate 1 sec of video at 12fps.

If you do load the

calstad

Quick List of Resources for Topological Data Analysis with Emphasis on Machine Learning

This is just a quick list of resourses on TDA that I put together for @rickasaurus after he was asking for links to papers, books, etc on Twitter and is by no means an exhaustive list.

Survey Papers

Both Carlsson's and Ghrist's survey papers offer a very good introduction to the subject

• Topology and Data by Gunnar Carlsson
• Barcodes: The Persistent Topology of Data by Robert Ghrist

Other Papers and Web Resources

• Extracting insights from the shape of complex data using topology A good introductory paper in Nature on the Mapper algorithm.