naturale0
/ quantile_normalize_example.py
Created Jul 19, 2019
View quantile_normalize_example.py
| # In []: | |
| import pandas as pd | |
| import numpy as np | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| import scipy as sp | |
| A = np.random.normal(5, 1, 100) | |
| B = np.random.normal(3, 1.5, 100) | |
| C = np.random.normal(4, 2, 100) |
View pretrain-WSL.ipynb
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naturale0
/ Weakly-supervised_localizer.ipynb
Last active Jun 17, 2018
Facial Emotion Recognition - WSL
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View Understanding_ANN_3.ipynb
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naturale0
/ Understaning_ANN_2.ipynb
Last active Apr 17, 2018
Implementation of (1) softmax classifier with polynomial kernel function, (2) 2-layer neural network
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naturale0
/ Understanding_ANN_1.ipynb
Last active Nov 19, 2018
Implementation of linear (Softmax) classifier with python 2.7.
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naturale0
/ MCP_simulation.ipynb
Last active Dec 19, 2018
python class for converting p-values to adjusted p-values (or q-values) for multiple comparison correction.
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naturale0
/ DxOCrawler.py
Last active Dec 29, 2017
Crawl DxOMark Mobile (smartphones camera benchmark) data: https://de-novo.org/2017/12/29/efa로-내게-맞는-스마트폰-카메라-찾기/
View DxOCrawler.py
| import re | |
| import requests | |
| import datetime as dt | |
| from bs4 import BeautifulSoup | |
| # Crawl DxOMark Mobile data | |
| class DxOCrawler(): | |
| def __init__(self): | |
| self.baseurl = "https://www.dxomark.com/category/mobile-reviews/page" | |
| self.links = [] |
View MyGeno.py
| import pandas as pd | |
| import requests | |
| import json | |
| import sys | |
| import os | |
| from bs4 import BeautifulSoup | |
| from collections import OrderedDict | |
| class Geno(object): | |
| """class to reads and interprets 23andMe raw genotype data.""" |
View 2017 대선 후보 지지율 예측 (회귀).ipynb
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