bion howard bionicles

## 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)

## layers_tied.py
from keras import backend as K
from keras import activations, initializations, regularizers, constraints
from keras.engine import Layer, InputSpec
from keras.utils.np_utils import conv_output_length
from keras.layers import Convolution1D, Convolution2D
import tensorflow as tf

class Convolution1D_tied(Layer):
    '''Convolution operator for filtering neighborhoods of one-dimensional inputs.
    When using this layer as the first layer in a model,

## Adversarial variational bayes toy example.ipynb

      
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                poolio
                / Adversarial variational bayes toy example.ipynb
            
            
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              August 1, 2023 00:59
            
          
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## fif.sh
fif() {
	rg  \
	--column \
	--line-number \
	--no-column \
	--no-heading \
	--fixed-strings \
	--ignore-case \
	--hidden \
	--follow \
	"""
	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)
	from keras import backend as K
	from keras import activations, initializations, regularizers, constraints
	from keras.engine import Layer, InputSpec
	from keras.utils.np_utils import conv_output_length
	from keras.layers import Convolution1D, Convolution2D
	import tensorflow as tf

	class Convolution1D_tied(Layer):
	'''Convolution operator for filtering neighborhoods of one-dimensional inputs.
	When using this layer as the first layer in a model,
	fif() {
	rg \
	--column \
	--line-number \
	--no-column \
	--no-heading \
	--fixed-strings \
	--ignore-case \
	--hidden \
	--follow \