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import numpy as np | |
import os | |
import tensorflow as tf | |
#import urllib2 | |
#from datasets import imagenet | |
#from nets import inception | |
#from preprocessing import inception_preprocessing | |
from PIL import Image, ImageDraw, ImageFont |
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.frontbg { | |
background-color: #53cd80; | |
border-radius: 7px; | |
color: #fff; | |
position: relative; | |
left: 0; | |
} | |
.android .frontbg { | |
background-color: #eelf34; | |
border-radius: 7px; |
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def summary(input_size, model): | |
def register_hook(module): | |
def hook(module, input, output): | |
class_name = str(module.__class__).split('.')[-1].split("'")[0] | |
module_idx = len(summary) | |
m_key = '%s-%i' % (class_name, module_idx+1) | |
summary[m_key] = OrderedDict() | |
summary[m_key]['input_shape'] = list(input[0].size()) | |
summary[m_key]['input_shape'][0] = -1 |
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def defModel(): | |
model = Sequential() | |
#Izda.add(TimeDistributed( | |
# Convolution2D(40,3,3,border_mode='same'), input_shape=(sequence_lengths, 1,8,10))) | |
model.add( | |
TimeDistributed( | |
Conv2D(32, (7, 7), padding='same', strides = 2), | |
input_shape=(None, 540, 960, 2))) | |
model.add(Activation('relu')) |
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# pytorch mnist cnn + lstm | |
from __future__ import print_function | |
import argparse | |
import torch | |
import torch.nn as nn | |
import torch.nn.functional as F | |
import torch.optim as optim | |
from torchvision import datasets, transforms | |
from torch.autograd import Variable |
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Put this at the bottom of .tmux.conf: | |
# List of plugins | |
set -g @plugin 'tmux-plugins/tpm' | |
set -g @plugin 'tmux-plugins/tmux-sensible' | |
set -g @plugin 'nhdaly/tmux-better-mouse-mode' | |
# Other examples: | |
# set -g @plugin 'github_username/plugin_name' | |
# set -g @plugin '[email protected]/user/plugin' | |
# set -g @plugin '[email protected]/user/plugin' |
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git clone https://github.com/nhdaly/tmux-better-mouse-mode ~/.tmux | |
echo 'set-option -g mouse on' >> ~/.tmux.conf | |
echo 'run-shell ~/.tmux/scroll_copy_mode.tmux' >> ~/.tmux.conf | |
tmux source-file ~/.tmux.conf |
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#R version 3.3.2 | |
set.seed(10) | |
N_size = 20 | |
N_bit = 8 | |
Gen = 50 | |
mut_freq = 0.1 | |
Population = matrix(sample(c(0,1), size=N_size*N_bit, replace=TRUE), N_size, N_bit) |
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[formats] | |
version=1.0 | |
data\normal\priority=-1 | |
data\normal\bold=false | |
data\normal\italic=false | |
data\normal\overline=false | |
data\normal\underline=false | |
data\normal\strikeout=false | |
data\normal\waveUnderline=false | |
data\normal\foreground=#f8f8f2 |
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