This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| """ | |
| 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) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| git config --global https.proxy http://127.0.0.1:1080 | |
| git config --global https.proxy https://127.0.0.1:1080 | |
| git config --global --unset http.proxy | |
| git config --global --unset https.proxy | |
| npm config delete proxy |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #!/usr/bin/python | |
| # crf.py (by Graham Neubig) | |
| # This script trains conditional random fields (CRFs) | |
| # stdin: A corpus of WORD_POS WORD_POS WORD_POS sentences | |
| # stdout: Feature vectors for emission and transition properties | |
| from collections import defaultdict | |
| from math import log, exp | |
| import sys |