HeZheng zhhezhhe

## threaded_download.py
import urllib2
import threading
from Queue import Queue
import sys, os, re

class ThreadedDownload(object):

	REGEX = {
		'hostname_strip':re.compile('.*\..*?/', re.I)
	}

## 词性标记.md

      
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                zhhezhhe
                / 词性标记.md
            
            
              Created
              July 13, 2017 08:45
                — forked from luw2007/词性标记.md
            
              
                词性标记： 包含 ICTPOS3.0词性标记集、ICTCLAS 汉语词性标注集、jieba 字典中出现的词性、simhash 中可以忽略的部分词性
              
          
    词的分类


实词：名词、动词、形容词、状态词、区别词、数词、量词、代词
虚词：副词、介词、连词、助词、拟声词、叹词。

ICTPOS3.0词性标记集

n 名词

nr 人名

  
## # opencv3 - 2017-01-12_19-59-03.txt
Homebrew build logs for homebrew/science/opencv3 on macOS 10.12.2
Build date: 2017-01-12 19:59:03

## min-char-rnn.py
"""
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)

## digits.py
import random
from sklearn import datasets, cross_validation, metrics
import tensorflow as tf

import skflow

random.seed(42)

# Load dataset and split it into train / test subsets.
	import urllib2
	import threading
	from Queue import Queue
	import sys, os, re

	class ThreadedDownload(object):

	REGEX = {
	'hostname_strip':re.compile('.\..?/', re.I)
	}
	Homebrew build logs for homebrew/science/opencv3 on macOS 10.12.2
	Build date: 2017-01-12 19:59:03
	"""
	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)
	import random
	from sklearn import datasets, cross_validation, metrics
	import tensorflow as tf

	import skflow

	random.seed(42)

	# Load dataset and split it into train / test subsets.