cjnolet

import org.apache.spark.mllib.linalg.distributed.RowMatrix
import org.apache.spark.mllib.linalg._
import org.apache.spark.{SparkConf, SparkContext}

// To use the latest sparse SVD implementation, please build your spark-assembly after this
// change: https://github.com/apache/spark/pull/1378

// Input tsv with 3 fields: rowIndex(Long), columnIndex(Long), weight(Double), indices start with 0
// Assume the number of rows is larger than the number of columns, and the number of columns is
// smaller than Int.MaxValue

jdhao

echo "Downloading gcc source files..."
curl https://ftp.gnu.org/gnu/gcc/gcc-5.4.0/gcc-5.4.0.tar.bz2 -O

echo "extracting files..."
tar xvfj gcc-5.4.0.tar.bz2

echo "Installing dependencies..."
yum -y install gmp-devel mpfr-devel libmpc-devel

echo "Configure and install..."

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

tartakynov

import numpy as np
import pylab as pl
from numpy import fft
    
def fourierExtrapolation(x, n_predict):
    n = x.size
    n_harm = 10                     # number of harmonics in model
    t = np.arange(0, n)
    p = np.polyfit(t, x, 1)         # find linear trend in x
    x_notrend = x - p[0] * t        # detrended x

GaelVaroquaux

'''
Non-parametric computation of entropy and mutual-information

Adapted by G Varoquaux for code created by R Brette, itself
from several papers (see in the code).

This code is maintained at https://github.com/mutualinfo/mutual_info 
Please download the latest code there, to have improvements and 
bug fixes.

perchouli

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

from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
import avro.ipc as ipc
import avro.protocol as protocol
import avro.schema as schema

PROTOCOL_FILE = '/srv/http/duoshuo/configs/duofilter.avpr'
PROTOCOL = protocol.parse(open(PROTOCOL_FILE).read())