- 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
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November 18, 2024 15:04
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
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| """ | |
| 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) |