chenyuntc
/ dcgan.py
Created
February 6, 2017 02:26
— forked from soumith/dcgan.py
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| import torch | |
| import torch.nn as nn | |
| import torch.nn.parallel | |
| class DCGAN_D(nn.Container): | |
| def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0): | |
| super(DCGAN_D, self).__init__() | |
| self.ngpu = ngpu | |
| assert isize % 16 == 0, "isize has to be a multiple of 16" |
chenyuntc
/ min-char-rnn.py
Last active
November 15, 2016 12:36
— forked from karpathy/min-char-rnn.py
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) |