anirudhshenoy

from torch import nn
from time import time
import torch
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
from skimage.util.shape import view_as_windows
torch.manual_seed(42)

Tushar-N

import torch
import torch.nn as nn
import torch.nn.functional as F

import torchvision.models as tmodels
from functools import partial
import collections

# dummy data: 10 batches of images with batch size 16
dataset = [torch.rand(16,3,224,224).cuda() for _ in range(10)]

siliconvallaeys

/* 
// AdWords Script: Check and set keyword bids for stacked (tiered) bid strategy
// -----------------------------------------------------------------------------
// Copyright 2017 Optmyzr Inc., All Rights Reserved
// 
// This script helps you compare bids for the same keyword in multiple match types
// It can output just keywords for which a less restrictive match type has equal or higher bids (mode 1)
// or it can output all keywords so you can see the bids by match type (mode 2)
//
// New bids can be generated and uploaded with the spreadsheet through Bulk Uploads. The file is NOT compatible with AdWords Editor.

GaelVaroquaux

'''
Non-parametric computation of entropy and mutual-information

Adapted by G Varoquaux for code created by R Brette, itself
from several papers (see in the code).

This code is maintained at https://github.com/mutualinfo/mutual_info 
Please download the latest code there, to have improvements and 
bug fixes.

zmjones

import csv
import os
import re
import dateutil
import pandas as pd
from urlparse import urlparse

log_path = ''
# parsing code: http://ferrouswheel.me/2010/01/python_tparse-fields-in-s3-logs/
log_entries = []