jeasinema

#!/usr/bin/env python
# -*- coding:UTF-8 -*-

import torch
import torch.nn as nn
import torch.nn.init as init


def weight_init(m):
    '''

coffeant

sudo tzconfig，如果命令不存在请使用 dpkg-reconfigure tzdata
然后按照提示选择 Asia对应的序号，选完后会显示一堆新的提示—输入城市名，如Shanghai或Chongqing，最后再用 sudo date -s “” 来修改本地时间
sudo cp /usr/share/zoneinfo/Asia/ShangHai /etc/localtime  防止系统重启后时区改变
sudo apt-get install ntpdate
设置系统时间与网络时间同步 ntpdate cn.pool.ntp.org
将系统时间写入硬件时间 hwclock -w :systohc 

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

methane

from time import sleep
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from tornado.web import Application, asynchronous, RequestHandler
from multiprocessing.pool import ThreadPool

_workers = ThreadPool(10)

def run_background(func, callback, args=(), kwds={}):
    def _callback(result):

dehowell

import urllib2

def file_exists(location):
    request = urllib2.Request(location)
    request.get_method = lambda : 'HEAD'
    try:
        response = urllib2.urlopen(request)
        return True
    except urllib2.HTTPError:
        return False