Gustavo de Rosa gugarosa

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Code should be young, wild and free.

There are no programming languages that can match up to programming logic. Senior Research SE at Microsoft Research.

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gugarosa / penalized_objective.py

Created June 14, 2021 14:57

Penalizes an Opytimizer objective function with a more complex constraint.

	import numpy as np

	from opytimizer import Opytimizer
	from opytimizer.functions import ConstrainedFunction
	from opytimizer.optimizers.swarm import PSO
	from opytimizer.spaces import SearchSpace

	# Defines a customized objective function
	def spfunc(x):
	# Just a mock-up objective to emulate the problem

gugarosa / compare_sets_pokemons.py

Last active January 3, 2021 16:39

Creates an array for comparing whether certain Pokémon exists or not in a TCG set.

	import numpy as np
	import pandas as pd
	from pokemontcgsdk import Card, Set

	# Sets to be searched
	SETS = ['g1', 'sm1', 'sm2', 'sm4', 'sm6', 'sm7',
	'sm11', 'sm12', 'swsh1', 'swsh2', 'swsh3', 'swsh4']

	# Instantiates an array of cards from all sets
	cards_sets = np.zeros((894, len(SETS)))

gugarosa / host_scripting.sh

Last active October 8, 2019 20:29

Logs into a host via SSH, runs a command and dumps the file to local machine via SFTP.

	#!/bin/bash

	# User to enter the host
	USER=username

	# Script to run in host
	# In this case, we will be dumping the process my memory usage order
	SCRIPT="ps aux --sort -%mem"

	# List of hosts

gugarosa / plot_3d_function.m

Created August 30, 2019 15:12

It creates a 3D plot of a pre-defined mathematical function.

	% Function to be plotted
	z = @(x,y) (sin(x) * sqrt(x)) * (sin(y) * sqrt(y));

	% Plots the function
	h = fsurf(z,[0 10]);

	% Defines some attributes on its positioning and brightness
	camlight(110,70)
	brighten(0.7)
	h.EdgeColor = 'none';

gugarosa / optimize.py

Last active November 14, 2023 13:27

A t-SNE perplexity's parameter optimization through meta-heuristics. It uses NALP for loading word embeddings and Opytimizer for performing the optimization.

	from opytimizer import Opytimizer
	from opytimizer.core.function import Function
	from opytimizer.optimizers.abc import ABC
	from opytimizer.spaces.search import SearchSpace
	from sklearn.manifold import TSNE

	import word2vec

	# Loading word2vec word embeddings
	w2v = word2vec.load_word_vectors()

gugarosa / simulated_annealing.py

Created June 18, 2019 13:35

A Simulated Annealing algorithm for function optimization.

	from math import pi, sin

	import numpy as np


	def function(x):
	"""Fitness function.

	Args:
	x (float): Input value for fitness function.

gugarosa / hill_climbing.py

Created June 18, 2019 13:34

A set of Hill Climbing and its variants for function optimization.

	from math import pi, sin

	import numpy as np


	def function(x):
	"""Fitness function.

	Args:
	x (float): Input value for fitness function.

gugarosa / aco.py

Last active June 18, 2019 14:05

An Ant Colony Optimization for the Travel Salesman problem.

	import numpy as np

	import utils as u


	class ACO:
	"""An Ant-Colony Optimization implementation.

	"""

gugarosa / mnist_mosaic.m

Created May 30, 2019 12:19

It supposes that you have a pre-loaded MNIST matrix and creates a mosaic of random samples.

	% Check this repository to create your own MNIST Matlab's matrix
	% https://github.com/daniel-e/mnist_octave/

	% Loading MNIST matrix file
	load('mnist.mat');

	% Creating an empty array of 100 samples
	A = zeros(28, 28, 1, 100, 'uint8');

	% Looping through 100 random samples

gugarosa / youtube_channel_scrapper.py

Last active February 23, 2019 16:06

Requests the source code of a youtube channel page and scraps any data you need from it.

	import time

	import requests
	from bs4 import BeautifulSoup

	# Youtube channel URL
	url = 'https://www.youtube.com/channel/UCTCykZFeSbgMuL2ZzhSyVzg'

	# Sleeping time
	sleep_time = 5