Mukul Ranjan mukul54

*2vec papers

act2vec, trace2vec, log2vec, model2vec https://link.springer.com/chapter/10.1007/978-3-319-98648-7_18
apk2vec https://arxiv.org/abs/1809.05693
app2vec http://paul.rutgers.edu/~qma/research/ma_app2vec.pdf
ast2vec https://arxiv.org/abs/2103.11614
attribute2vec https://arxiv.org/abs/2004.01375
author2vec http://dl.acm.org/citation.cfm?id=2889382
baller2vec https://arxiv.org/abs/2102.03291
bb2vec https://arxiv.org/abs/1809.09621

1- Go to: https://www.facebook.com/{your_id_or_username}/allactivity/?category_key=LIKEDPOSTS&filter_hidden=ALL&filter_privacy=NONE You can use Filter to choose year or month.
2- Open the console and run the following JavaScript code and wait:

setInterval(() => {
  for (const Button of document.querySelectorAll('div[aria-label="Action options"]')) {
    Button.click()
    document.querySelector('div[role="menuitem"]').click()
  }
}, 1000)

	"""
	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)