lebedov

#!/usr/bin/env python

"""
Algorithm for concatenating half precision tensors by allocating new output matrix
of appropriate size and copying each of the constituent tensors into it with
appropriate offsets.
"""

import numpy as np
import torch

lebedov

#!/usr/bin/env python

"""
Pairwise distance module for pytorch.
"""

import torch.autograd as autograd
import torch.nn as nn

class PairwiseDistance(nn.Module):

lebedov

#!/usr/bin/env python

"""
Numerically stable algorithm for computing running sample variance.

Reference
---------
.. [1] B.P. Welford. "Note on a method for calculating corrected sums of squares
       and products", Technometrics, Vol. 4, No. 3, pp. 419-420.
"""

lebedov

#!/usr/bin/env python

"""
Non-legacy View module for pytorch (http://pytorch.org)
"""

import torch.autograd as autograd
import torch.nn as nn

class View(nn.Module):

lebedov

% How to only retain a fixed number of sublists that contain specific values.

% Sublists to analyze:
ids = {{0, 0}, {1, 0}, {0, 1, 2}, {0, 2}, {1, 2}, {0, 2}, {1, 1}};

counts = [0, 0, 0];
for i=1:length(ids),
    id = cell2mat(ids{i});

    % Retain `id` only if it contains at least one

lebedov

-- How to copy a Torch model to a new type without explicit cloning.

-- Based on code in checkpoints.lua in http://github.com/facebook/fb.resnet.torch

require 'torch'

function copy_convert(obj, t)
   local copy = {}
   for k, v in pairs(obj) do
      if type(v) == 'table' then

lebedov

#!/usr/bin/env python

"""
Filter out certain outputs in a nipype MapNode.
"""

import logging

import nipype
import nipype.interfaces.utility as utility

lebedov

#!/usr/bin/env python

"""
Ensure Reorient2Std output is compressed or uncompressed as per output_type trait.

Notes
-----
Works around possible fslreorient2std bug: https://github.com/nipy/nipype/issues/1683
"""

lebedov

#!/usr/bin/env python

"""
How to normalize intensity of brain images to the range [0, 1] with nipype and FSL.
"""

import os.path

import nipype
import nipype.interfaces

lebedov

#!/usr/bin/env python

"""
Simple demo of a nipype pipeline that uses DataGrabber and DataSink.
"""

import os.path

import nipype
import nipype.interfaces.fsl as fsl