Joseph K J JosephKJ

## gist:710671
So you've cloned somebody's repo from github, but now you want to fork it and contribute back. Never fear!

Technically, when you fork "origin" should be your fork and "upstream" should be the project you forked; however, if you're willing to break this convention then it's easy.

* Off the top of my head *

1. Fork their repo on Github
2. In your local, add a new remote to your fork; then fetch it, and push your changes up to it

    git remote add my-fork git@github...my-fork.git

## gist:1040939
#!/usr/bin/env python
# -*- coding: utf-8 -*-

def main():
    """ Main program """
    # Code goes over here.
    return 0

if __name__ == "__main__":
    main()

## fork forced sync
git fetch upstream
git reset --hard upstream/master

## bench_rocsgd.py
import itertools

import numpy as np

from sklearn.linear_model import SGDClassifier, SGDRanking
from sklearn import metrics
from minirank.compat import RankSVM as MinirankSVM
from scipy import stats


## classifier.py
import os
import numpy
from pandas import DataFrame
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn.pipeline import Pipeline
from sklearn.cross_validation import KFold
from sklearn.metrics import confusion_matrix, f1_score

NEWLINE = '\n'

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## imagenet1000_clsidx_to_labels.txt
{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

## VOClabelcolormap.py
"""
Python implementation of the color map function for the PASCAL VOC data set.
Official Matlab version can be found in the PASCAL VOC devkit
http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html#devkit
"""
import numpy as np
from skimage.io import imshow
import matplotlib.pyplot as plt

def color_map(N=256, normalized=False):

## Convolutional Arithmetic.ipynb

      
              1 file
            
          
              14 forks
            
          
              2 comments
            
          
              45 stars
            
          
                akiross
                / Convolutional Arithmetic.ipynb
            
            
              Last active
              August 26, 2024 05:17
            
              
                Few experiments on how convolution and transposed convolution (deconvolution) should work in tensorflow.
              
          
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## LC_CTYPE.txt
vi /etc/environment

add these lines...

LANG=en_US.utf-8
LC_ALL=en_US.utf-8
	So you've cloned somebody's repo from github, but now you want to fork it and contribute back. Never fear!

	Technically, when you fork "origin" should be your fork and "upstream" should be the project you forked; however, if you're willing to break this convention then it's easy.

	* Off the top of my head *

	1. Fork their repo on Github
	2. In your local, add a new remote to your fork; then fetch it, and push your changes up to it

	git remote add my-fork git@github...my-fork.git
	#!/usr/bin/env python
	# -- coding: utf-8 --

	def main():
	""" Main program """
	# Code goes over here.
	return 0

	if __name__ == "__main__":
	main()
	import itertools

	import numpy as np

	from sklearn.linear_model import SGDClassifier, SGDRanking
	from sklearn import metrics
	from minirank.compat import RankSVM as MinirankSVM
	from scipy import stats
	import os
	import numpy
	from pandas import DataFrame
	from sklearn.feature_extraction.text import CountVectorizer
	from sklearn.naive_bayes import MultinomialNB
	from sklearn.pipeline import Pipeline
	from sklearn.cross_validation import KFold
	from sklearn.metrics import confusion_matrix, f1_score

	NEWLINE = '\n'
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	{0: 'tench, Tinca tinca',
	1: 'goldfish, Carassius auratus',
	2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
	3: 'tiger shark, Galeocerdo cuvieri',
	4: 'hammerhead, hammerhead shark',
	5: 'electric ray, crampfish, numbfish, torpedo',
	6: 'stingray',
	7: 'cock',
	8: 'hen',
	9: 'ostrich, Struthio camelus',
	"""
	Python implementation of the color map function for the PASCAL VOC data set.
	Official Matlab version can be found in the PASCAL VOC devkit
	http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html#devkit
	"""
	import numpy as np
	from skimage.io import imshow
	import matplotlib.pyplot as plt

	def color_map(N=256, normalized=False):
	vi /etc/environment

	add these lines...

	LANG=en_US.utf-8
	LC_ALL=en_US.utf-8