Dmitry Ulyanov DmitryUlyanov

Co-Founder at Avaturn, in3D, Phd @ Skoltech

DmitryUlyanov / wget_drive.py

Last active July 29, 2019 07:24

	import requests

	def download_file_from_google_drive(id, destination):
	def get_confirm_token(response):
	for key, value in response.cookies.items():
	if key.startswith('download_warning'):
	return value

	return None

DmitryUlyanov / sample_entropy.py

Created October 24, 2017 15:42

	import torch
	import torch.nn
	from torch.autograd import Variable

	def pairwise_euclidean(samples):

	B = samples.size(0)

	samples_norm = samples.mul(samples).sum(1)
	samples_norm = samples_norm.expand(B, B)

DmitryUlyanov / Springleaf.html

Created June 8, 2017 03:48

springleaf EDA

This file has been truncated, but you can view the full file.

	<!DOCTYPE html>
	<html>
	<head><meta charset="utf-8" />
	<title>Feats_work-clean</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>

	<style type="text/css">
	/*!
	*
	* Twitter Bootstrap

DmitryUlyanov / html_server.py

Created May 11, 2017 09:43

Do not remember why, but starting server this correct is better

	from flask import Flask, request, render_template
	app = Flask(__name__, static_url_path='', static_folder='')


	@app.route('/')
	def root():
	return app.send_static_file('sr_set5.html')


	@app.route('/readme')

DmitryUlyanov / imscatter.py

Last active May 11, 2017 09:09

draws images at given 2d coordinates like T-SNE of MNIST

	def imscatter(images, positions):

	positions = np.array(positions)

	bottoms = positions[:,1] - np.array([im.shape[1]/2.0 for im in images])
	tops = bottoms + np.array([im.shape[1] for im in images])

	lefts = positions[:,0] - np.array([im.shape[0]/2.0 for im in images])
	rigths = lefts + np.array([im.shape[0] for im in images])

DmitryUlyanov / trilinear_interpolation.py

Created May 8, 2017 12:03

	import numba
	def FindLowAndHighIndices(x, m):
	xf = np.floor(x)


	l = np.clip(xf, 0, m-1).astype(int)
	h = np.clip(xf + 1, 0, m-1).astype(int)

	return l, h

DmitryUlyanov / get_sample_grid.py

Last active January 22, 2018 17:21

	import random
	from PIL import Image
	import glob
	import numpy as np

	def get_sample_grid_(paths, grid_w=4, grid_h=4, imsize_w=256, imsize_h=256):
	imgs = []
	for p in paths:
	imgs.append(np.array(Image.open(p).convert('RGB').resize([imsize_w,imsize_h])))

DmitryUlyanov / run_batch.py

Created January 31, 2017 19:37

	from joblib import Parallel, delayed
	import Queue
	import os

	# Define number of GPUs available
	N_GPU = 4

	# Put indices in queue
	q = Queue.Queue(maxsize=N_GPU)
	for i in range(N_GPU):

DmitryUlyanov / run_batch2.py

Last active July 2, 2021 10:50

	from __future__ import print_function
	import threading
	from joblib import Parallel, delayed
	import Queue
	import os

	# Fix print
	_print = print
	_rlock = threading.RLock()
	def print(args, *kwargs):

DmitryUlyanov / test_backend.py

Created January 31, 2017 08:24

	from __future__ import print_function
	import threading
	from joblib import Parallel, delayed
	import Queue

	# Fix print
	_print = print
	_rlock = threading.RLock()
	def print(args, *kwargs):
	with _rlock: