osipov

sudo apt-get remove scala-library scala
sudo wget www.scala-lang.org/files/archive/scala-2.10.4.deb
sudo dpkg -i scala-2.10.4.deb
sudo apt-get update
sudo apt-get install scala
wget http://scalasbt.artifactoryonline.com/scalasbt/sbt-native-packages/org/scala-sbt/sbt/0.12.4/sbt.deb
sudo dpkg -i sbt.deb
sudo apt-get update
sudo apt-get install sbt

maxp

#define SSID "wi-fi_login" // ваш SSID
#define PASS "wi-fi_password" // ваш пароль Wi-Fi

#define SMTPServer "s02.atomsmtp.com" //smtp сервер
#define SMTPPort "2525" // smtp порт
#define MailLogin "[email protected]" // логин для smtp
#define MailLoginBase64 "dWd1LCBrb25lNG5vCg==" //логин для smtp в Base64
#define MailPasswordBase64 "aHJlbiB0YW0K" // пароль для smtp в Base64
#define MailRelay "[email protected]" // промежуточная почта для "отмывания" email
#define PhoneNumber "375290000000" // номер телефона

dynamicguy

# install dependencies
sudo apt-get update
sudo apt-get install -y build-essential
sudo apt-get install -y cmake
sudo apt-get install -y libgtk2.0-dev
sudo apt-get install -y pkg-config
sudo apt-get install -y python-numpy python-dev
sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install -y libjpeg-dev libpng-dev libtiff-dev libjasper-dev
 

jimoconnell

--http://www.instructables.com/id/ESP8266-based-web-configurable-wifi-general-purpos-1/
--Code by HoracioBouzas, formatted for use with ESPlorer by jimoconnell
print("WIFI control");
-- put module in AP mode
wifi.setmode(wifi.SOFTAP);
print("ESP8266 mode is: " .. wifi.getmode());
cfg={};
-- Set the SSID of the module in AP mode and access password
cfg.ssid="ESP8266";
cfg.pwd="passwordpassword";

junjiah

from collections import namedtuple


# A reasonable large number to represent infinity.
INF = (1 << 31)
UNIT_LENGTH = 6
# Struct for edges.
Edge = namedtuple('Edge', ['src', 'dest'])

def calculate_shortest_distances(node_num, edges, src):

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

lukedeo

'''
hacked out deepdish.io style keras NN saving functionality

[credit] deepdish
'''
from __future__ import division, print_function, absolute_import

import numpy as np
import tables
import warnings

mikeboers

import argparse
import datetime
import json
import os
import re

import requests


parser = argparse.ArgumentParser()

awjuliani

binary1230

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