ryin

#!/bin/bash

# Script for installing tmux on systems where you don't have root access.
# tmux will be installed in $HOME/local/bin.
# It's assumed that wget and a C/C++ compiler are installed.

# exit on error
set -e

TMUX_VERSION=1.8

tassoevan

import sys
from gi.repository import Gtk, Gdk, WebKit

class WebKitWindow(Gtk.Window):
	scrolls = None
	webView = None

	def __init__(self, url, transparent=False):
		Gtk.Window.__init__(self, Gtk.WindowType.TOPLEVEL, title='')
		self.scrolls = Gtk.ScrolledWindow()

fmassa

require 'nn'

-- you just need to provide the linear module you want to convert,
-- and the dimensions of the field of view of the linear layer
function convertLinear2Conv1x1(linmodule,in_size)
   local s_in = linmodule.weight:size(2)/(in_size[1]*in_size[2])
   local s_out = linmodule.weight:size(1)
   local convmodule = nn.SpatialConvolutionMM(s_in,s_out,in_size[1],in_size[2],1,1)
   convmodule.weight:copy(linmodule.weight)
   convmodule.bias:copy(linmodule.bias)

karpathy

"""
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)

wllhf

""" 
Python implementation of the color map function for the PASCAL VOC data set. 
Official Matlab version can be found in the PASCAL VOC devkit 
http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html#devkit
"""
import numpy as np
from skimage.io import imshow
import matplotlib.pyplot as plt

def color_map(N=256, normalized=False):

anantzoid

Conditional Image Generation with PixelCNN Decoder

Implemenetation:

What

• New image density model based on PixelCNN
• Can generate variety of images from text embeddings or CNN layer weights
• Serves as decoder in image autoencoder
• Gated PixelCNN: Matches PixelRNN accuracy

eyalroz

#!/bin/bash 
#
# Prints the compute capability of the first CUDA device installed
# on the system, or alternatively the device whose index is the
# first command-line argument

device_index=${1:-0}
timestamp=$(date +%s.%N)
gcc_binary=${CMAKE_CXX_COMPILER:-$(which c++)}
cuda_root=${CUDA_DIR:-/usr/local/cuda}

magicdude4eva

Add the following in .zshrc:

...
plugins=(osx git zsh-autosuggestions zsh-syntax-highlighting zsh-nvm docker kubectl)
...

### Fix slowness of pastes with zsh-syntax-highlighting.zsh
pasteinit() {
  OLD_SELF_INSERT=${${(s.:.)widgets[self-insert]}[2,3]}
  zle -N self-insert url-quote-magic # I wonder if you'd need `.url-quote-magic`?