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| #~/.mutt/aliases | |
| alias nick Nicholas Levandoski <nick.levandoski@auglug.org> | |
| alias tim Timothy Pitt <timothy.pitt@auglug.org> | |
| alias steven Steven Jackson <sjackson@auglug.org> | |
| alias kaleb Kaleb Hornsby <kaleb.hornsby@auglug.org> | |
| alias alug-admin nick, tim, steven |
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| """Information Retrieval metrics | |
| Useful Resources: | |
| http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt | |
| http://www.nii.ac.jp/TechReports/05-014E.pdf | |
| http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf | |
| http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf | |
| Learning to Rank for Information Retrieval (Tie-Yan Liu) | |
| """ | |
| import numpy as np |
karpathy
/ min-char-rnn.py
Last active
April 16, 2024 18:25
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) |