Felipe Macias fmacias64
fmacias64
/ login.html
Created
September 25, 2019 18:50
— forked from lanxan/login.html
login & register with ajax
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| <html> | |
| <head> | |
| <title>login</title> | |
| <script type="text/javascript" > | |
| function id(id){ | |
| return document.getElementById(id); | |
| } | |
| function setCookie(c_name,value,expiredays){ | |
| var exdate=new Date(); | |
| exdate.setDate(exdate.getDate()+expiredays); |
fmacias64
/ temp_cdmx.R
Created
September 8, 2017 04:08
— forked from diegovalle/temp_cdmx.R
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| #based on https://cran.r-project.org/web/packages/ggjoy/vignettes/gallery.html | |
| library(viridis) | |
| library(ggjoy) | |
| library(aire.zmvm) | |
| library(lubridate) | |
| library(ggplot2) | |
| library(dplyr) | |
| library(tidyr) | |
| temp <- get_station_data(criterion = "HORARIOS", # Can be one of MAXIMOS (daily maximum), |
fmacias64
/ bayesian_neural_network.ipynb
Created
May 5, 2017 04:47
— forked from anonymous/bayesian_neural_network.ipynb
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fmacias64
/ bayesian_neural_network.ipynb
Created
May 5, 2017 04:47
— forked from anonymous/bayesian_neural_network.ipynb
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fmacias64
/ test.py
Created
February 5, 2016 01:11
— forked from christianroman/test.py
Bypass Captcha using 10 lines of code with Python, OpenCV & Tesseract OCR engine
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| import cv2.cv as cv | |
| import tesseract | |
| gray = cv.LoadImage('captcha.jpeg', cv.CV_LOAD_IMAGE_GRAYSCALE) | |
| cv.Threshold(gray, gray, 231, 255, cv.CV_THRESH_BINARY) | |
| api = tesseract.TessBaseAPI() | |
| api.Init(".","eng",tesseract.OEM_DEFAULT) | |
| api.SetVariable("tessedit_char_whitelist", "0123456789abcdefghijklmnopqrstuvwxyz") | |
| api.SetPageSegMode(tesseract.PSM_SINGLE_WORD) | |
| tesseract.SetCvImage(gray,api) | |
| print api.GetUTF8Text() |
fmacias64
/ topsy_search.py
Created
November 10, 2015 07:31
— forked from judotens/topsy_search.py
Topsy search scraper
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| # scrape tweets from topsy.com | |
| import sys, urllib, urllib2, json, random | |
| def search(query): | |
| data = {'q': query, 'type': 'tweet', 'offset': 1, 'perpage': 1000, 'window': 'a', 'sort_method': "-date", 'apikey': '09C43A9B270A470B8EB8F2946A9369F3'} | |
| url = "http://otter.topsy.com/search.js?" + urllib.urlencode(data) | |
| data = urllib2.urlopen(url) | |
| o = json.loads(data.read()) | |
| res = o['response'] |
fmacias64
/ client.js
Created
October 3, 2015 12:00
— forked from nkhine/client.js
Viewing OpenLearn Mindmaps Using d3.js
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| var m = [0, 120, 20, 320], | |
| w = 1280 - m[1] - m[3], | |
| h = 800 - m[0] - m[2], | |
| i = 0, | |
| root; | |
| var tree = d3.layout.tree() | |
| .size([h, w]); | |
| var diagonal = d3.svg.diagonal() |
fmacias64
/ lsh_example.py
Last active
August 29, 2015 14:27
— forked from hamilton/lsh_example.py
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| import lsh | |
| lsh_machine = lsh.LSH(assignment_name="example") | |
| # data is a dictionary of the form: | |
| #{user_id: set([item_id1, item_id2, ...]), ...} | |
| # Depending on the input size, training can take a while. | |
| # But it will use all your cores to do so, and will | |
| # automatically cache the data for assignment_name. This |