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@karpathy
karpathy / min-char-rnn.py
Last active December 11, 2025 12:45
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
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)
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
@neubig
neubig / crf.py
Created November 7, 2013 10:59
This is a script to train conditional random fields. It is written to minimize the number of lines of code, with no regard for efficiency.
#!/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