kaza razat kazarazat

## understanding-word-vectors.ipynb

      
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                aparrish
                / understanding-word-vectors.ipynb
            
            
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              April 20, 2024 01:36
            
              
                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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## evolution_algorithm.py
import string
import random

model_genes = ['1','2','3','4','a','b','c','d']
strand = len(model_genes)/2

def female_code(size, chars=string.digits):
	return list(''.join(random.choice(chars) for _ in range(size)))

def male_code(size, chars=string.ascii_lowercase):

## 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)
	import string
	import random

	model_genes = ['1','2','3','4','a','b','c','d']
	strand = len(model_genes)/2

	def female_code(size, chars=string.digits):
	return list(''.join(random.choice(chars) for _ in range(size)))

	def male_code(size, chars=string.ascii_lowercase):
	"""
	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)