dokato

Data Science, Machine Learning, Neuroscience, Python, R, Open Source

dokato / fashionmnist.R

Last active June 27, 2023 12:27

Fashion-MNIST in R starter

	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"))

dokato / parcellation_visualization.py

Last active January 11, 2018 16:43

Visualization of brain regions after FreeSurfer parcellation

	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 / orthogonalization.py

Created February 15, 2018 14:13

Find closest orthogonal matrix

	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 / app_get.R

Created February 16, 2018 12:05

Mini shiny.router example with params

	library(shiny)
	library(shiny.router)

	options(shiny.router.debug = T)
	# This generates menu in user interface with links.
	menu <- (
	tags$ul(
	tags$li(a(class = "item", href = "/", "Page")),
	tags$li(a(class = "item", href = route_link("other"), "Other page"))
	)

dokato / resting_state_example.py

Last active May 29, 2018 15:03

	import os
	import mne
	from mne.datasets.brainstorm import bst_resting
	import numpy as np
	import matplotlib.pyplot as plt
	import scipy.signal as ss

	folder = os.path.join(bst_resting.data_path(), 'MEG/bst_resting')
	file = 'subj002_spontaneous_20111102_01_AUX_raw.fif'

dokato / resting_state_inverse2.py

Created June 8, 2018 15:59

	import os
	import mne
	from mne.datasets.brainstorm import bst_resting
	import numpy as np
	import matplotlib.pyplot as plt
	import scipy.signal as ss

	########################## INPUT:
	folder = os.path.join(bst_resting.data_path(), 'MEG/bst_resting')
	file = 'subj002_spontaneous_20111102_01_AUX_raw.fif'

dokato / delayed-checkbox.R

Created September 14, 2019 13:43

delayed checkbox

	library(shiny)
	library(magrittr)
	library(ggplot2)

	ui <- fluidPage(
	checkboxGroupInput("checkbox", "Variables to show:",
	c("psavert", "uempmed", "unemploy")),
	plotOutput("plot")
	)

dokato / phaseplane.py

Created September 25, 2019 14:15

Simple Phase Plane plot implementation in Matplotlib

	import numpy as np
	import matplotlib.pyplot as plt

	__author__ = 'Dominik Krzeminski (dokato)'

	tau = 2
	I_ext = 0.5
	a = 0.8
	b = 0.7

dokato / datget.py

Last active June 18, 2020 00:01

siamese.ipynb

	import pickle
	import itertools
	import numpy as np
	import tensorflow.keras as keras

	with open('HackathonMetadata.pkl','rb') as ff:
	metad = pickle.load(ff)

	with open('HackathonData_Homology0.pkl','rb') as ff:
	homol = pickle.load(ff)

dokato / doughnut_chart.html

Last active June 24, 2020 09:54

Doughnut chart with DoughnutJS

	<!DOCTYPE html>
	<html>
	<head>
	<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/Chart.min.js"></script>
	</head>

	<body>
	<div width="100px" height="100px">
	<canvas id="myChart"></canvas>
	</div>