Ahmad Moussa AhmadMoussa

## donut.pde
// Processing Code By Nicholas Sbalbi (@nsbalbi)
// Twitter post: https://twitter.com/nsbalbi/status/1406696979523047437
// Github gist: https://gist.github.com/nsbalbi/7c09f0101f90c45ecc391e7f64b29c10
// 6-22-2021
// Motion blur via @beesandbombs and inspiration from @etiennejcb

/*
Copyright (c) 2021 Nicholas Sbalbi

Permission is hereby granted, free of charge, to any person obtaining a copy

## p5_scrapper.py
"""
what:
    download all sketches (as .zip) from a given user on p5.js
how:
    python <TARGET> [<OUT_DIR>]
who:
    @13utters
"""
from sys import argv, exit
from pathlib import Path

## Upsample.py
import tensorflow as tf
import keras.backend as K
from keras.layers import Lambda

#
# Keras + TensorFlow
# Resize 'tensorA' to be of the same size as 'tensorB' using 'tf.image.resize_bilinear'
# Very useful for skip-connections and 'Concatenate' layers that might complain about being off by one column
# Only works when dimensions are provided since we use ' K.int_shape' that returns the static shape
#

## GAN-808_keras.ipynb

      
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                naotokui
                / GAN-808_keras.ipynb
            
            
              Created
              July 14, 2017 10:17
            
              
                GAN-based drumloop generation (work in progress)
              
          
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## audio_lstm_keras.ipynb

      
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              16 stars
            
          
                naotokui
                / audio_lstm_keras.ipynb
            
            
              Last active
              June 30, 2019 21:55
            
              
                Audio generation with LSTM in keras
              
          
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	// Processing Code By Nicholas Sbalbi (@nsbalbi)
	// Twitter post: https://twitter.com/nsbalbi/status/1406696979523047437
	// Github gist: https://gist.github.com/nsbalbi/7c09f0101f90c45ecc391e7f64b29c10
	// 6-22-2021
	// Motion blur via @beesandbombs and inspiration from @etiennejcb

	/*
	Copyright (c) 2021 Nicholas Sbalbi

	Permission is hereby granted, free of charge, to any person obtaining a copy
	"""
	what:
	download all sketches (as .zip) from a given user on p5.js
	how:
	python <TARGET> [<OUT_DIR>]
	who:
	@13utters
	"""
	from sys import argv, exit
	from pathlib import Path
	import tensorflow as tf
	import keras.backend as K
	from keras.layers import Lambda

	#
	# Keras + TensorFlow
	# Resize 'tensorA' to be of the same size as 'tensorB' using 'tf.image.resize_bilinear'
	# Very useful for skip-connections and 'Concatenate' layers that might complain about being off by one column
	# Only works when dimensions are provided since we use ' K.int_shape' that returns the static shape
	#