hata tatsuyah

🏝️

playing

tatsuyah / .editorconfig

Created July 6, 2018 02:29

	# This is .editorconfig example

	[*]
	end_of_line = lf
	charset = utf-8
	trim_trailing_whitespace = true
	insert_final_newline = true
	indent_style = space
	indent_size = 2

tatsuyah / trim_columns.py

Last active October 26, 2017 01:24

tatsuyah / download_s3.py

Last active October 4, 2017 06:09

	"""
	This script lets you download a file from S3 bucket.
	First you need to configure your AWS account using 'aws configure' command.
	It needs your AWS Access Key ID and AWS Secret Access Key.
	"""

	import boto3
	import botocore

tatsuyah / behavioral-cloning-model.py

Created September 15, 2017 03:01

	import csv
	import cv2
	import numpy as np

	def augment_images(images, measurements):
	augmented_images, augmented_measurements = [], []
	for image, measurement in zip(images, measurements):
	augmented_images.append(image)
	augmented_measurements.append(measurement)
	augmented_images.append(cv2.flip(image,1))

tatsuyah / cnn_extension_lenet.py

Last active August 30, 2017 00:51

	"""
	Deep Convolutional Neural Network which extends Yann LeCun's LeNet-5 written in Keras.
	"""

	img_width, img_height = 150, 150
	nb_train_samples = 2000
	nb_validation_samples = 2000
	nb_filters1 = 6
	nb_filters2 = 16
	nb_filters3 = 200

tatsuyah / make_separated_japanese_text.py

Last active June 8, 2017 09:59

	f = open('target.txt', encoding='shiftjis')
	data1 = f.read()
	f.close()

	lines = data1.split('\n')
	separated_text = ""
	for line in lines:
	a = line.split()
	if len(a) > 0:
	separated_text += a[0] + " "

tatsuyah / collect_image.py

Last active April 23, 2017 05:16

	import sys,os
	from urllib import urlopen
	from urllib import urlretrieve
	from urllib2 import URLError,HTTPError
	import commands
	import subprocess
	import argparse
	import random
	from PIL import Image
	import os.path

tatsuyah / pg_pong_python3.py

Created April 17, 2017 06:22

	import numpy as np
	import _pickle as pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward
	decay_rate = 0.99 # decay factor for RMSProp leaky sum of grad^2

tatsuyah / pg_pong_python3.py

Last active April 17, 2017 06:20

	import numpy as np
	import _pickle as pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward
	decay_rate = 0.99 # decay factor for RMSProp leaky sum of grad^2

tatsuyah / es6-promise-func.js

Created March 1, 2017 08:30

	first = () => {
	return new Promise((resolve, reject)=> {
	setTimeout(()=> {
	console.log("first")
	resolve()
	}, 3000)
	})
	}

	promise = first()