dokato

import numpy as np

def find_closest_orthogonal_matrix(A):
    '''
    Find closest orthogonal matrix to *A* using iterative method.
    
    Bases on the code from REMOVE_SOURCE_LEAKAGE function from OSL Matlab package.

    Args:
        A (numpy.array): array shaped k, n, where k is number of channels, n - data points

dokato

from __future__ import print_function

import os
import numpy as np

from surfer import Brain
from mayavi import mlab
import nibabel as nib

subjects_folder = os.environ["SUBJECTS_DIR"]

dokato

library(readr)
library(keras)

# By Dominik Krzeminski (dokato)

#' Data downloaded from https://www.kaggle.com/zalando-research/fashionmnist
#' More information is at the ZalandoResearch GitHub:
#' https://github.com/zalandoresearch/fashion-mnist
train.data <- read_csv("fashion-mnist_train.csv",
                       col_types = cols(.default = "i"))