anibalsolon

"""

Usage:
Slicer --python-script nrrd2nifti.py --no-splash --no-main-window -- Segmentation.seg.nrrd

"""
import os
import sys

if len(sys.argv) == 1:

anibalsolon

- anat: s3://fcp-indi/data/Projects/ABIDE/RawDataBIDS/CMU_a/sub-0050642/anat/sub-0050642_T1w.nii.gz
  creds_path: null
  func:
    rest_run-1:
      scan: s3://fcp-indi/data/Projects/ABIDE/RawDataBIDS/CMU_a/sub-0050642/func/sub-0050642_task-rest_run-1_bold.nii.gz
      scan_parameters:
        AcquisitionDuration: !!binary |
          ODowNg==
        AcquisitionMatrix: !!binary |
          NjR4NjQ=

anibalsolon

import io
import base64
import numpy as np
from IPython.core.display import HTML
from scipy.io import loadmat, wavfile

data = loadmat('./sounds.mat')['sounds']
test = loadmat('./icaTest.mat')

def player(wave, bitrate=11025):

anibalsolon

# DOWNLOAD:
# curl -O http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
# curl -O http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
# curl -O http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
# curl -O http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz

# USAGE:
# TrD = TrainData() # or TestData
# X, y = TrD[0:1000] # get first 1000 images
# X, y = TrD[:] # get 'em all

anibalsolon

def anicor(matrix1, matrix2):
    d1 = matrix1.shape[-1]
    d2 = matrix2.shape[-1]

    def zscore(data, axis):
        data -= data.mean(axis=axis,keepdims=True)
        data /= data.std(axis=axis,keepdims=True)
        return np.nan_to_num(data, copy=False)

    assert d1 == d2

anibalsolon

#!/bin/bash

echo '{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": { "Service": "ec2.amazonaws.com"},
      "Action": "sts:AssumeRole"
    }

anibalsolon

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


def compositions(l, init=None):

    # Use init argument or
    #  start an empty list (for the first list)
    init = init or []