Ivan Ivanov EvsanDlg

## understanding-word-vectors.ipynb

      
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                aparrish
                / understanding-word-vectors.ipynb
            
            
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              July 27, 2024 14:45
            
              
                Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
              
          
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## data_loader.py
"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.

[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""

import torch
import numpy as np

## scanner.sh
# use ImageMagick convert
# the order is important. the density argument applies to input.pdf and resize and rotate to output.pdf
convert -density 90 input.pdf -rotate 0.5 -attenuate 0.2 +noise Multiplicative -colorspace Gray output.pdf

## max_queue_size_pool.py
from threading import BoundedSemaphore
from concurrent.futures import ProcessPoolExecutor


class MaxQueuePool:
    """This Class wraps a concurrent.futures.Executor
    limiting the size of its task queue.

    If `max_queue_size` tasks are submitted, the next call to submit will block
    until a previously submitted one is completed.

## download-from-facecast.md

      
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                bigspawn
                / download-from-facecast.md
            
            
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              April 28, 2024 12:18
            
              
                How download video from facecast.net
              
          
Go to the video url you want to download
Open devtools into browser (ctrl+shift+i in firefox)
Show the network tab
Reload tab with video and look into devtools
Find line with text 1080p.m3u8 and copy url (like: https://edge-7.facecast.net/secure/VgTub-XSFSFFSFSF/DFSDGDSGDSGGD-pyJiOPQ/34634636/4367546/235235/1080p.m3u8)


Download and install Streamlink
Open console and execute: streamlink hls://URL_FROM_STEP_5 best -o video1080p.ts
	"""
	Create train, valid, test iterators for CIFAR-10 [1].
	Easily extended to MNIST, CIFAR-100 and Imagenet.

	[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
	"""

	import torch
	import numpy as np
	# use ImageMagick convert
	# the order is important. the density argument applies to input.pdf and resize and rotate to output.pdf
	convert -density 90 input.pdf -rotate 0.5 -attenuate 0.2 +noise Multiplicative -colorspace Gray output.pdf
	from threading import BoundedSemaphore
	from concurrent.futures import ProcessPoolExecutor


	class MaxQueuePool:
	"""This Class wraps a concurrent.futures.Executor
	limiting the size of its task queue.

	If `max_queue_size` tasks are submitted, the next call to submit will block
	until a previously submitted one is completed.