kmundnic

function alpha=kriAlpha(data,scale)
% alpha=kriAlpha(data,scale)
%     calculates Krippendorff's Alpha as a measure of inter-rater agreement
%     data: rate matrix, each row is a rater or coder, each column is a case
%     scale: level of measurement, supported are 'nominal', 'ordinal', 'interval'
%     missing values have to be coded as NaN or inf

% For details about Krippendorff's Alpha see:
% http://en.wikipedia.org/wiki/Krippendorff%27s_Alpha
% Hayes, Andrew F. & Krippendorff, Klaus (2007). Answering the call for a

cshjin

yalmip('clear')

T = [0 1 0 1; 1 0 1 0; 0 1 0 1; 1 0 1 0];

x = sdpvar(4, 1);
y = sdpvar(4, 1);
assign(x, randn(4, 1));
assign(y, randn(4, 1));
const = [x'*x <= 1; y'*y <=1];
% const = [];

Uberi

#!/usr/bin/env python3
 
import time, random
import math
from collections import deque

start = time.time()

class RealtimePlot:
    def __init__(self, axes, max_entries = 100):

Dref360

import operator
import threading
from functools import reduce

import keras
import keras.backend as K
from keras.engine import Model
import numpy as np
import tensorflow as tf
import time

N-McA

def tf_pca(x):
    '''
        Compute PCA on the bottom two dimensions of x,
        eg assuming dims = [..., observations, features]
    '''
    # Center
    x -= tf.reduce_mean(x, -2, keepdims=True)

    # Currently, the GPU implementation of SVD is awful.
    # It is slower than moving data back to CPU to SVD there

sconstantinides

[[ -s "$HOME/.profile" ]] && source "$HOME/.profile"
 
parse_git_branch() {
  git branch 2> /dev/null | sed -e '/^[^*]/d' -e 's/* \(.*\)/ (\1)/'
}
 
export PS1="\w\$(parse_git_branch) $ "
export EDITOR="atom -w"
export PATH=/usr/local/bin:$PATH
 

huytd

<style>

.axis {
	font-family: sans-serif;
	fill: #d35400;
	font-size: 12px;
}

.line {
	fill: none;

brunston

/* Table of contents
––––––––––––––––––––––––––––––––––––––––––––––––––
- Plotly.js
- Grid
- Base Styles
- Typography
- Links
- Buttons
- Forms
- Lists

r9y9

#!/bin/bash

# This is a yet another download script for the cmu arctic speech corpus.
# The corpus will be downloaded in $HOME/data/cmu_arctic/

location=$HOME/data/cmu_arctic/

if [ ! -e $location ]
then
    echo "Create " $location

simecek