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Hersh Bhargava hbhargava7

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karpathy /
Last active Sep 24, 2021
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)
kublaios / gist:f01cdf4369c86ddd6d71
Created Jun 27, 2014
Making a PEM File for iOS Push Notifications (From Ray Wenderlich's tutorial)
View gist:f01cdf4369c86ddd6d71
# Convert the .cer file into a .pem file:
$ openssl x509 -in aps_development.cer -inform der -out PushChatCert.pem
# Convert the private key’s .p12 file into a .pem file:
$ openssl pkcs12 -nocerts -in PushChatKey.p12 -out PushChatKey.pem
# Finally, combine the certificate and key into a single .pem file
$ cat PushChatCert.pem PushChatKey.pem > ck.pem
# At this point it’s a good idea to test whether the certificate works.