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/* | |
FIFO by A.F. Agarap | |
*/ | |
public class FIFO { | |
public static void main(String[] args) { | |
int temp = 0; | |
int size = input("How many processes will you enter? "); | |
int [][] process = new int[size][6]; |
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import java.util.ArrayList; | |
import java.util.HashMap; | |
import java.util.List; | |
import java.util.Map; | |
public class MapToList { | |
public static void main(String[] args) { | |
Map <Integer, String> map = new HashMap<>(); | |
map.put(10, "apple"); | |
map.put(20, "banana"); |
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#!/usr/bin/env python3 | |
# Python implementation of Banker's algorithm | |
# Author : A.F. Agarap | |
from string import ascii_uppercase | |
letters = list(ascii_uppercase) | |
def main(): | |
available_instance = [] |
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#!/usr/bin/env python3 | |
# Paging, a memory management scheme in operating systems | |
# Author: A.F. Agarap | |
def main(): | |
page_mapping = [] | |
physical_frame_table = [] | |
virtual_page_table = [] | |
size = int(input("How many words will you enter? ")) |
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# Based on the tutorial by user `sentdex` : https://www.youtube.com/watch?v=PwAGxqrXSCs | |
import tensorflow as tf | |
''' | |
input -> weight -> hidden layer 1 (activation function) -> weight -> hidden layer 2 (activation function) -> weight -> output layer | |
''' | |
from tensorflow.examples.tutorials.mnist import input_data |
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/* | |
* Copyright 2017 Abien Fred Agarap | |
* | |
* Licensed under the Apache License, Version 2.0 (the "License"); | |
* you may not use this file except in compliance with the License. | |
* You may obtain a copy of the License at | |
* | |
* http://www.apache.org/licenses/LICENSE-2.0 | |
* | |
* Unless required by applicable law or agreed to in writing, software |
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# Copyright 2017 Abien Fred Agarap. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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# Copyright 2017 Abien Fred Agarap. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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# Copyright 2017 Abien Fred Agarap. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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# Implementation of my proposed GRU+SVM model, for MNIST classification | |
# Copyright (C) 2017 Abien Fred Agarap | |
# | |
# This program is free software: you can redistribute it and/or modify | |
# it under the terms of the GNU Affero General Public License as published | |
# by the Free Software Foundation, either version 3 of the License, or | |
# (at your option) any later version. | |
# | |
# This program is distributed in the hope that it will be useful, | |
# but WITHOUT ANY WARRANTY; without even the implied warranty of |