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Md Abdul Aowal aowal

  • UMass Amherst
  • Amherst, Massachusetts
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@cspickert
cspickert / GoogleSpreadsheets.py
Created January 20, 2012 23:40
Export a Google Spreadsheet using python.
#!/usr/bin/python
import re, urllib, urllib2
class Spreadsheet(object):
def __init__(self, key):
super(Spreadsheet, self).__init__()
self.key = key
class Client(object):
@jmoz
jmoz / DomXpath.php
Created June 26, 2012 14:49
DomXpath example
<?php
/**
* @author James Morris <[email protected]>
*/
$html = <<<'EOF'
<html>
<body>
<h1>Foo</h1>
<div id="content">
@xjia1
xjia1 / gist:4413725
Last active September 2, 2022 20:09
Interesting CS Courses
@optikalefx
optikalefx / Super Simple Ajax File Upload (XHR2).js
Last active April 4, 2021 15:12
Ajax File upload with jQuery and XHR2Sean Clark http://square-bracket.com
// Ajax File upload with jQuery and XHR2
// Sean Clark http://square-bracket.com
// xhr2 file upload
$.fn.upload = function(remote, data, successFn, progressFn) {
// if we dont have post data, move it along
if (typeof data != "object") {
progressFn = successFn;
successFn = data;
}
@endolith
endolith / output.png
Last active February 10, 2025 19:02
Detecting rotation and line spacing of image of page of text using Radon transform
output.png
@bsweger
bsweger / useful_pandas_snippets.md
Last active October 6, 2025 13:44
Useful Pandas Snippets

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

@iamtekeste
iamtekeste / Download Google Drive files with WGET
Created July 8, 2015 11:00
Download Google Drive files with WGET
Download Google Drive files with WGET
Example Google Drive download link:
https://docs.google.com/open?id=[ID]
To download the file with WGET you need to use this link:
https://googledrive.com/host/[ID]
Example WGET command:
@wassname
wassname / keras_weighted_categorical_crossentropy.py
Last active October 10, 2024 00:52
Keras weighted categorical_crossentropy (please read comments for updated version)
"""
A weighted version of categorical_crossentropy for keras (2.0.6). This lets you apply a weight to unbalanced classes.
@url: https://gist.github.com/wassname/ce364fddfc8a025bfab4348cf5de852d
@author: wassname
"""
from keras import backend as K
def weighted_categorical_crossentropy(weights):
"""
A weighted version of keras.objectives.categorical_crossentropy
@panovr
panovr / finetune.py
Created March 2, 2017 23:04
Fine-tuning pre-trained models with PyTorch
import argparse
import os
import shutil
import time
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
@bartolsthoorn
bartolsthoorn / multilabel_example.py
Created April 29, 2017 12:13
Simple multi-laber classification example with Pytorch and MultiLabelSoftMarginLoss (https://en.wikipedia.org/wiki/Multi-label_classification)
import torch
import torch.nn as nn
import numpy as np
import torch.optim as optim
from torch.autograd import Variable
# (1, 0) => target labels 0+2
# (0, 1) => target labels 1
# (1, 1) => target labels 3
train = []