ilblackdragon

import logging

import numpy as np
import tensorflow as tf
from tensorflow.contrib import layers


GO_TOKEN = 0
END_TOKEN = 1
UNK_TOKEN = 2

cbaziotis

from keras import backend as K, initializers, regularizers, constraints
from keras.engine.topology import Layer


def dot_product(x, kernel):
    """
    Wrapper for dot product operation, in order to be compatible with both
    Theano and Tensorflow
    Args:

MLnick

import sys

from pyspark.context import SparkContext
from numpy import array, random as np_random
from sklearn import linear_model as lm
from sklearn.base import copy

N = 10000   # Number of data points
D = 10      # Numer of dimensions
ITERATIONS = 5

amueller

L42y

# Maintainer: Giorgio Gilestro <giorgio@gilest.ro>

pkgname=minus-uploader
pkgver=1.2
pkgrel=1
pkgdesc="The Minus desktop app allows you to drag-n-drop photos and files into the taskbar and instantly upload onto Minus"
url="http://min.us/pages/tools"
license=('GPL')
arch=('i686' 'x86_64')

dervn

#用正则简单过滤html的<>标签
import re
str = "<img /><a>srcd</a>hello</br><br/>"
str = re.sub(r'</?\w+[^>]*>','',str)
print str