akitotakeki

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import numpy as np
import chainer
from chainer import cuda
from chainer import configuration
import chainer.functions as F
import chainer.links as L
from chainer.initializers import normal

xkumiyu

kit fox, Vulpes macrotis
English setter
Australian terrier
grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus
lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens
Egyptian cat
ibex, Capra ibex
Persian cat
cougar, puma, catamount, mountain lion, painter, panther, Felis concolor
gazelle

corochann

from __future__ import print_function
import argparse

import chainer
import chainer.functions as F
import chainer.links as L
from chainer import training
from chainer.optimizers import MomentumSGD, Adam
from chainer.training import extensions, Trainer
from chainer import serializers

robintw

import pandas as pd

def read_aeronet(filename):
    """Read a given AERONET AOT data file, and return it as a dataframe.
    
    This returns a DataFrame containing the AERONET data, with the index
    set to the timestamp of the AERONET observations. Rows or columns
    consisting entirely of missing data are removed. All other columns
    are left as-is.
    """

yrevar

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

maeharin

du -sh ./* | sort -nr