naoyashiga’s gists

naoyashiga / index.html

Created March 20, 2016 02:33

p5.js sound test

	<html>
	<head>
	<style>
	* {
	margin: 0;
	padding: 0;
	}
	</style>
	<script src="http://cdnjs.cloudflare.com/ajax/libs/p5.js/0.4.22/p5.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.4.23/addons/p5.sound.min.js"></script>

naoyashiga / singlePerceptron.py

Last active May 2, 2016 10:19

単純パーセプトロンの実装

	# -- coding: utf-8 --

	import numpy
	import matplotlib.pyplot as plt

	def predict(w, x):

	output = numpy.dot(w, x)

	if output >= 0:

naoyashiga / ir.py

Created May 22, 2016 23:21

image reg

	import numpy
	import matplotlib.pyplot as plt

	import chainer
	from chainer import cuda
	import chainer.functions as F
	import chainer.links as L
	from chainer import optimizers
	from chainer import cuda, Function, gradient_check, Variable, optimizers, serializers, utils
	from chainer import Link, Chain, ChainList

naoyashiga / kiji.html

Last active August 19, 2016 02:31

kiji.html


	<!DOCTYPE html>
	<!--[if lt IE 7]><html class="no-js lt-ie9 lt-ie8 lt-ie7" lang="ja"><![endif]-->
	<!--[if IE 7]><html class="no-js lt-ie9 lt-ie8" lang="ja"><![endif]-->
	<!--[if IE 8]><html class="no-js lt-ie9" lang="ja"><![endif]-->
	<!--[if gt IE 8]><!--><html class="no-js" lang="ja"><!--<![endif]-->
	<head>
	<meta charset="UTF-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
	<meta name="viewport" content="width=device-width,initial-scale=1,user-scalable=no">

naoyashiga / SpuriousCorrelations.md

Last active October 4, 2016 00:48

Spurious Correlations指標翻訳まとめ

#Ingestibles

指標A	指標B	correlation
Hot Dog Eating Contentの優勝者のホットドッグ消費量	NY timesベストセラーリストででフィクション作品が1位になった数	91.5
チーズの消費量	ベッドのシーツのもつれ事故	94.7
マーガリンの消費量	メイン州の離婚率	98.9
チキンの消費量	紙とボード製品の消費量	99.6
マクドナルドの顧客満足度	食道を詰まらせる死亡事故件数	85.6
茶の消費量	芝刈り機の誤操作での死亡人数	93
牛肉の消費量	落雷での死亡数	87

naoyashiga / writeIkku.rb

Last active December 27, 2016 12:00

一句(五七五)を抽出してテキストに書き出す

	require "ikku"
	reviewer = Ikku::Reviewer.new

	sourceTextFileName = '../data/wiki.txt'
	outputTextFileName = 'math.txt'
	outputTextFile = File.open(outputTextFileName,'w')

	begin
	File.open(sourceTextFileName) do \|file\|
	file.each_line do \|line\|

naoyashiga / index.js

Created January 1, 2017 09:24

Facebook Messenger Bot, aws lambdaでおうむ返しbot

	const request = require('request');

	const PAGE_ACCESS_TOKEN = "";

	var options = {
	hostname: "graph.facebook.com",
	path: "/v2.6/me/messages?access_token=" + PAGE_ACCESS_TOKEN,
	method: 'POST',
	headers: {
	'Content-Type': 'application/json'

naoyashiga / faceDetect.py

Created January 22, 2017 07:13

python2.7,opencvで顔認識

	import cv2
	from os import path
	import numpy as np
	from matplotlib import pyplot as plt
	%matplotlib inline

	cascades_dir = path.normpath(path.join(cv2.__file__, '..', '..', '..', '..', 'share', 'OpenCV', 'haarcascades'))
	cascade_f = cv2.CascadeClassifier(path.join(cascades_dir, 'haarcascade_frontalface_alt2.xml'))

	def faceDetect(filePath):

naoyashiga / autoencoder_mnist.py

Created March 5, 2017 06:12

AutoEncoder for MNIST

	# -- coding: utf-8 --

	# Inspired
	# [TensorFlow-Examples/autoencoder.py at master · aymericdamien/TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/autoencoder.py)

	import tensorflow as tf
	import numpy as np

	from tensorflow.examples.tutorials.mnist import input_data
	mnist = input_data.read_data_sets("MNIST_data", one_hot=True)

naoyashiga / k_largest_elements_indices.py

Last active April 28, 2017 08:54

値が大きい上位K件の配列インデックスを取得

	#探す対象リスト:my_arrayはnumpy
	#例:上位3件
	K = 3

	# ソートはされていない上位k件のインデックス
	unsorted_max_indices = np.argpartition(-my_array, K)[:K]

	# 上位k件の値
	y = my_array[unsorted_max_indices]

Naoya / nao-chan / naoya-tech naoyashiga