dogrocker

Oh my zsh.

Install with curl

sh -c "$(curl -fsSL https://raw.githubusercontent.com/robbyrussell/oh-my-zsh/master/tools/install.sh)"

Enabling Plugins (zsh-autosuggestions & zsh-syntax-highlighting)

• Download zsh-autosuggestions by

xmeng1

$remoteport = bash.exe -c "ifconfig eth0 | grep 'inet '"
$found = $remoteport -match '\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}';

if( $found ){
  $remoteport = $matches[0];
} else{
  echo "The Script Exited, the ip address of WSL 2 cannot be found";
  exit;
}

stared

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");

yinian1992

from datetime import datetime, timedelta

import sqlalchemy as sa
import sqlalchemy.orm as orm
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import scoped_session, sessionmaker

NOW = datetime.utcnow()
DBSession = scoped_session(sessionmaker())
Base = declarative_base()

monikkinom

#Source code with the blog post at http://monik.in/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow/
import numpy as np
import random
from random import shuffle
import tensorflow as tf

# from tensorflow.models.rnn import rnn_cell
# from tensorflow.models.rnn import rnn

NUM_EXAMPLES = 10000