jamescalam

jsdevtom

export const ws = webSocket<WebsocketMessage>(`wss://${location.hostname}:${location.protocol === 'https:' ? 443 : 80}/ws/`);

export const wsObserver = ws
  .pipe(
    retryWhen(errors =>
      errors.pipe(
        delay(1000)
      )
    )
  );

lubien

Sum a dimension N square matrix main and anti diagonal values.

Given the Matrix:

[ [ 1,  2,  3,  4]
, [ 5,  6,  7,  8]
, [ 9, 10, 11, 12]
, [13, 14, 15, 16]
]

vinaygopinath

/*
Optional adjustments for md-autocomplete in mobile screens
*/

#place-autocomplete > md-autocomplete md-input-container {
  margin-top: -10px;
}


/*Media query for tablets and above */

bonzanini

# Print most common words in a corpus collected from Twitter
#
# Full description:
# http://marcobonzanini.com/2015/03/02/mining-twitter-data-with-python-part-1/
# http://marcobonzanini.com/2015/03/09/mining-twitter-data-with-python-part-2/
# http://marcobonzanini.com/2015/03/17/mining-twitter-data-with-python-part-3-term-frequencies/
#
# Run:
# python twitter_most_common_words.py <filename.jsonl>

styopdev

_.mixin({ pickSchema: function (model, excluded) {
    var fields = [];
    model.schema.eachPath(function (path) {
      _.isArray(excluded) ? excluded.indexOf(path) < 0 ? fields.push(path) : false : path === excluded ? false : fields.push(path);
    });
    return fields;
  }
});

// Example

vinhkhuc

# Implementation of a simple MLP network with one hidden layer. Tested on the iris data set.
# Requires: numpy, sklearn, theano

# NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1' 
# where x' = [x | 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's. 
# Similarly, for h * W_2 + b_2
import theano
from theano import tensor as T
import numpy as np
from sklearn import datasets

vinhkhuc

from theano import tensor as T, function
x  = T.dscalar('x')
y  = x ** 2
dy = T.grad(cost=y, wrt=x) # Preparing symbolic gradient
df  = function(inputs=[x], outputs=dy)
print(df(4)) # Output: 8

clouddueling

controllers.controller('MainCtrl', function($scope, $location, Facebook, $rootScope, $http, $location, Upload, Auth, User, Question, Category, Serie, Record, Location, Popup, Process, Card, Question) {
  $scope.$on('authLoaded', function() {
		$scope.isExpert($scope.main.serieId);
		$scope.isMember($scope.main.serieId);
	});

	$scope.loadAuth = function() {
		Auth.load().success(function(data) {
			$scope.main.user = data.user;
			$scope.$broadcast("authLoaded");

tedmiston

/*
In the node.js intro tutorial (http://nodejs.org/), they show a basic tcp 
server, but for some reason omit a client connecting to it.  I added an 
example at the bottom.

Save the following server in example.js:
*/

var net = require('net');