BlinkyStitt

sudo apt-get update
sudo apt-get install -y git-core build-essential libssl-dev libboost-all-dev libdb5.1-dev libdb5.1++-dev libgtk2.0-dev

git clone https://github.com/bitcoin/bitcoin.git
cd bitcoin/src

make -f makefile.unix clean; make -f makefile.unix USE_UPNP= bitcoind

5kg

spam_train, ham_train, spam_test, ham_test = ['train/spam', 'train/ham', 'test/spam', 'test/ham'].map{|t| Dir["#{ARGV[0]}/#{t}/*"].map {|fn| File.open(fn, 'r:iso8859-1').read.gsub(/[^a-zA-Z]/, ' ').split}}
spam_log, ham_log = [spam_train, ham_train].map{|t| t.flatten.instance_eval {reduce(Hash.new(0)) { |h,v| h[v] += 1.0/size; h }.select{|w, v| w.size > 2 && v > 8e-6}}.instance_eval{each {|k,v| self[k] = Math.log(v)}}}
spam_predict, ham_predict = [spam_test, ham_test].map {|t| t.map{|d| [spam_log, ham_log].map {|log| d.reduce(0){|s, w| log[w] ? s + log[w] : s}}}}
p spam_predict.size, spam_predict.select{|e| e.first < e.last}.size
p ham_predict.size, ham_predict.select{|e| e.first > e.last}.size

liuliu

gsl_rng_env_setup();
gsl_rng* rng = gsl_rng_alloc(gsl_rng_default);
sqlite3* db = 0;
int h[0x10000];
int kc[0x100];
float kmean[0x100];
uint16_t tbl[0x10000];
int i;
for (i = 0; i < 0x10000; i++)
	tbl[i] = i;

jasonwbw

//  Copyright 2013 Google Inc. All Rights Reserved.
//
//  Licensed under the Apache License, Version 2.0 (the "License");
//  you may not use this file except in compliance with the License.
//  You may obtain a copy of the License at
//
//      http://www.apache.org/licenses/LICENSE-2.0
//
//  Unless required by applicable law or agreed to in writing, software
//  distributed under the License is distributed on an "AS IS" BASIS,

neubig

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

# This is a simplified implementation of the LSTM language model (by Graham Neubig)
#
#  LSTM Neural Networks for Language Modeling
#  Martin Sundermeyer, Ralf Schlüter, Hermann Ney
#  InterSpeech 2012
# 
# The structure of the model is extremely simple. At every time step we

hydra35

# 1. Make sure you have nginx sub module compiled in
# nginx -V  2>&1 | grep --color=always '\-\-with\-http_sub_module'

# 2. add two directives below at HTTP level

# nginx.conf
http {
        # ......

        sub_filter  '</head>' '<style type="text/css">html{ filter: progid:DXImageTransform.Microsoft.BasicImage(grayscale=1); -webkit-filter: grayscale(100%); filter: url("data:image/svg+xml;utf8,<svg xmlns=\'http://www.w3.org/2000/svg\'><filter id=\'grayscale\'><feColorMatrix type=\'matrix\' values=\'0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0\'/></filter></svg>#grayscale"); /* Firefox 10+, Firefox on Android */

ravidsrk

Step One: Update Packages

sudo apt-get update
sudo apt-get upgrade

Step Two: Install and Create Virtualenv

sudo apt-get install python-virtualenv
sudo virtualenv /opt/myenv

lastland

# -*- coding=utf-8 -*-
import collections

# Usage:
#   我的做法是把WordsDetector.py里的结果输出到文件，
#   然后把文件名放到下面的names列表中，运行本程序。

names = ['name0',
         'name1',
         'name2',

nimbupani

---
layout: default
---

<div class="blog-index">  
  {% assign post = site.posts.first %}
  {% assign content = post.content %}
  {% include post_detail.html %}
</div>

acolyer

Internet Scale Services Checklist

A checklist for designing and developing internet scale services, inspired by James Hamilton's 2007 paper "On Desgining and Deploying Internet-Scale Services."

• http://mvdirona.com/jrh/talksandpapers/jamesrh_lisa.pdf

Basic tenets

• Does the design expect failures to happen regularly and handle them gracefully?
• Have we kept things as simple as possible?