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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
body { | |
padding: 1em; | |
} | |
label, button { | |
margin: 0.5em; | |
} | |
input { |
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// | |
// Clubhouse.swift | |
// Playground | |
// | |
// Created by Nav Singh on 2/11/21. | |
// | |
import SwiftUI | |
struct Clubhouse: View { |
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// Mixamo Animation downloadeer | |
// | |
// Author: Antonio Aloisio <gnuton@gnuton.org> | |
// Contributions: kriNon | |
// | |
// The following script make use of mixamo2 API to download all anims for a single character that you choose. | |
// The animations are saved with descriptive long names instead of the short ones used by default by mixamo UI. | |
// | |
// This script has been written by gnuton@gnuton.org and the author is not responsible of its usage | |
// |
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#!/bin/bash | |
# Copyright 2017 Théo Chamley | |
# Permission is hereby granted, free of charge, to any person obtaining a copy of | |
# this software and associated documentation files (the "Software"), to deal in the Software | |
# without restriction, including without limitation the rights to use, copy, modify, merge, | |
# publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons | |
# to whom the Software is furnished to do so, subject to the following conditions: | |
# | |
# The above copyright notice and this permission notice shall be included in all copies or |
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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle 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 |
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#!/usr/bin/env python2 | |
# -*- coding: UTF-8 -*- | |
# Note: A newer version of this script is located at https://github.com/trustin/smi2ass | |
# | |
# Copyright (C) 2018 Trustin Heuiseung Lee and other contributors | |
# | |
# This program is free software; you can redistribute it and/or | |
# modify it under the terms of the GNU General Public License | |
# as published by the Free Software Foundation; either version 2 | |
# of the License, or (at your option) any later version. |
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""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
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var daumlogin = {}; | |
var daum = {} | |
daum.Browser = {ua:'mozilla/5.0 (windows nt 6.1; wow64) applewebkit/537.11 (khtml, like gecko) chrome/23.0.1271.95 safari/537.11'} | |
daum.Event = {} | |
daum.Event.addOrderEvent = (function () { | |
var a = {}; | |
return function (f, e, g, b) { | |
var h = null, | |
c, d; | |
if (!f) { |
이 글은 메아리 저널에 쓸 목적으로 한동안 작업하던 글입니다. 메아리 특유의 디자인(...)이 싫다면 여기로 링크하셔도 됩니다. 어느 쪽이든간에 의견은 이 아래의 코멘트 란 또는 메아리에 기재되어 있는 메일 주소를 써 주시면 감사하겠습니다. --lifthrasiir
암호학을 사용하는 많은 시스템은 세부적으로 무슨 알고리즘을 쓰는지보다는 그 알고리즘들이 어떻게 연결되어 있는지, 즉 구조가 실제 안전성에 더 큰 영향을 미친다. 따라서 구조와 그 구조를 이루는 빌딩 블럭을 아는 것이 중요한데, 여기에서는 이러한 암호학적 빌딩 블럭과 함께 블럭들이 어떻게 쓰여서 더 큰 구조를 만드는지를 알아 본다.
키 교환. 두 사람만이 알 수 있는 새로운 키를 만든다. 이 과정이 끝나도 상대방이 내가 아는 사람인진 알 수 없지만 적어도 상대방과 내가 같은 키를 가지고 있다는 건 확신할 수 있다.
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