Adam J. Stewart adamjstewart

## markdown-details-collapsible.md

      
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                pierrejoubert73
                / markdown-details-collapsible.md
            
            
              Last active
              July 19, 2024 18:06
            
              
                How to add a collapsible section in markdown.
              
          
    How to add a collapsible section in markdown

1. Example


  Click me
Heading


Foo
Bar

Baz


Qux


## masked_cross_entropy.py
def _sequence_mask(sequence_length, max_len=None):
    if max_len is None:
        max_len = sequence_length.data.max()
    batch_size = sequence_length.size(0)
    seq_range = torch.range(0, max_len - 1).long()
    seq_range_expand = seq_range.unsqueeze(0).expand(batch_size, max_len)
    seq_range_expand = Variable(seq_range_expand)
    if sequence_length.is_cuda:
        seq_range_expand = seq_range_expand.cuda()
    seq_length_expand = (sequence_length.unsqueeze(1)

## example.md

      
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                ericclemmons
                / example.md
            
            
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              July 17, 2024 06:50
            
              
                HTML5 <details> in GitHub
              
          
    Using <details> in GitHub

Suppose you're opening an issue and there's a lot noisey logs that may be useful.
Rather than wrecking readability, wrap it in a <details> tag!
<details>
 Summary Goes Here

  
## elastic_transform.py
import numpy
from scipy.ndimage.interpolation import map_coordinates
from scipy.ndimage.filters import gaussian_filter

def elastic_transform(image, alpha, sigma, random_state=None):
    """Elastic deformation of images as described in [Simard2003]_.


    .. [Simard2003] Simard, Steinkraus and Platt, "Best Practices for
       Convolutional Neural Networks applied to Visual Document Analysis", in

## gist:7360908

      
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                rxaviers
                / gist:7360908
            
            
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              July 20, 2024 10:36
            
              
                Complete list of github markdown emoji markup
              
          
    People


 :bowtie:
😄 :smile:
😆 :laughing:


😊 :blush:
😃 :smiley:
☺️ :relaxed:


😏 :smirk:
😍 :heart_eyes:
😘 :kissing_heart:


😚 :kissing_closed_eyes:
😳 :flushed:
😌 :relieved:


😆 :satisfied:
😁 :grin:
😉 :wink:


😜 :stuck_out_tongue_winking_eye:
😝 :stuck_out_tongue_closed_eyes:
😀 :grinning:


😗 :kissing:
😙 :kissing_smiling_eyes:
😛 :stuck_out_tongue:
	def _sequence_mask(sequence_length, max_len=None):
	if max_len is None:
	max_len = sequence_length.data.max()
	batch_size = sequence_length.size(0)
	seq_range = torch.range(0, max_len - 1).long()
	seq_range_expand = seq_range.unsqueeze(0).expand(batch_size, max_len)
	seq_range_expand = Variable(seq_range_expand)
	if sequence_length.is_cuda:
	seq_range_expand = seq_range_expand.cuda()
	seq_length_expand = (sequence_length.unsqueeze(1)
	import numpy
	from scipy.ndimage.interpolation import map_coordinates
	from scipy.ndimage.filters import gaussian_filter

	def elastic_transform(image, alpha, sigma, random_state=None):
	"""Elastic deformation of images as described in [Simard2003]_.


	.. [Simard2003] Simard, Steinkraus and Platt, "Best Practices for
	Convolutional Neural Networks applied to Visual Document Analysis", in
`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`