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Lincoln de Macêdo demacdolincoln
demacdolincoln
/ simple_linear_regression-julia.ipynb
Created
September 9, 2018 03:47
simples regressão linear em Julia
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demacdolincoln
/ simples_regressao_linear.ipynb
Created
August 6, 2018 23:24
o exemplo mais básico de todos sobre regressão linear com o pytorch
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demacdolincoln
/ pytorch.ipynb
Created
August 3, 2018 18:35
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demacdolincoln
/ exemplo_pytorch.py
Created
August 3, 2018 17:25
simples exemplo de uso do pytorch para reconhecimento de números manuscritos
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| ################################################################################ | |
| # | |
| # leituras recomendadas (e que tambem precisei para escrever esse script): | |
| # * https://matheusfacure.github.io/2017/05/15/deep-ff-ann-pytorch/ | |
| # * http://deeplearningbook.com.br/funcao-de-ativacao/ | |
| # | |
| ################################################################################ | |
| import torch | |
| from torch import autograd, nn |
demacdolincoln
/ git.md
Last active
March 23, 2018 07:10
— forked from leocomelli/git.md
Lista de comandos úteis do GIT
demacdolincoln
/ introdução.ipynb
Last active
March 11, 2018 01:34
simples introdução de como abrir imagens e visualizar pixels
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demacdolincoln
/ python_ref.py
Created
March 8, 2018 17:15
simples exemplos da passagem por referência em python
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| l1 = [1,2] | |
| l2 = l1 | |
| l1.append(3) | |
| l2 | |
| def teste(lista): | |
| for i in range(4, 10): | |
| lista.append(i) | |
| teste(l1) |
demacdolincoln
/ teste_svm_area.py
Created
February 28, 2018 23:15
ex gráficos de classificação com o sklearn
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| # -*- coding: utf-8 -*- | |
| """ | |
| @author: lincoln | |
| fontes: | |
| http://scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html | |
| http://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html | |
| obs.: se for exibir as imagens no jupyter notebook ou qtconsole |
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| #!/usr/bin/python3 | |
| # -*- coding: utf-8 -*- | |
| from urllib.request import urlopen, Request | |
| import json | |
| from sys import argv | |
| from os.path import expanduser as expand | |
| data = { | |
| "description" : "", | |
| "public" : True, |