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

arnov

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

import math

def calc_ab(alpha_a, beta_a, alpha_b, beta_b):
    '''
    See http://www.evanmiller.org/bayesian-ab-testing.html

    αA is one plus the number of successes for A

msulima

#!/usr/bin/env python

import socket, threading, sys

class ClientThread(threading.Thread):

    def __init__(self, ip, port, socket, thread_id):
        threading.Thread.__init__(self)
        self.ip = ip
        self.port = port

Splagoon

import java.util.Date
import kotlin.concurrent.*

fun at(date: Date, func: () -> Unit) {
    val waitTime = date.getTime() - Date().getTime()
    thread {
        Thread.sleep(waitTime)
        func()
    }
}

mblondel

"""
License: BSD
Author: Mathieu Blondel

Implements three algorithms for projecting a vector onto the simplex: sort, pivot and bisection.

For details and references, see the following paper:

Large-scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex
Mathieu Blondel, Akinori Fujino, and Naonori Ueda.

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?

pchiusano

This is material to go along with a 2014 Boston Haskell talk.

We are going to look at a series of type signatures in Haskell and explore how parametricity (or lack thereof) lets us constrain what a function is allowed to do.

Let's start with a decidedly non-generic function signature. What are the possible implementations of this function which typecheck?

wrangle :: Int -> Int

jnape

package com.thoughtworks.futureeither

import concurrent.{Await, Future}
import scala.concurrent.ExecutionContext.Implicits.global
import concurrent.duration.FiniteDuration
import java.util.concurrent.TimeUnit

class FutureEither[L, R](private val future: Future[Either[L, R]]) {

  def flatMap[R2](block: R => FutureEither[L, R2]): FutureEither[L, R2] = {

bwhite

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np

minrk