snakers4

# add 7z tar and zip archivers
FROM nvidia/cuda:9.0-cudnn7-devel

# https://docs.docker.com/engine/examples/running_ssh_service/
RUN apt-get update && apt-get install -y openssh-server
RUN mkdir /var/run/sshd
RUN echo 'root:Ubuntu@41' | chpasswd
RUN sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config
RUN sed -i 's/#PasswordAuthentication yes/PasswordAuthentication no/' /etc/ssh/sshd_config
RUN mkdir ~/.ssh/

flyyufelix

ResNet-152 in Keras

This is an Keras implementation of ResNet-152 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.

ResNet Paper:

Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385

joelouismarino

from __future__ import print_function
import imageio
from PIL import Image
import numpy as np
import keras

from keras.layers import Input, Dense, Conv2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D, Dropout, Flatten, Concatenate, Reshape, Activation
from keras.models import Model
from keras.regularizers import l2
from keras.optimizers import SGD

mathisonian

The final result: require() any module on npm in your browser console with browserify

This article is written to explain how the above gif works in the chrome (and other) browser consoles. A quick disclaimer: this whole thing is a huge hack, it shouldn't be used for anything seriously, and there are probably much better ways of accomplishing the same.

Update: There are much better ways of accomplishing the same, and the script has been updated to use a much simpler method pulling directly from browserify-cdn. See this thread for details: mathisonian/requirify#5

inspiration

hylander0

<?xml version="1.0"?>
<root>
    <item>
        <name>Use PC Style Undo</name>
        <appendix>(Control+Z to Command_L+Z)</appendix>
        <appendix>(Except in Vi, Terminal, VM, RDC, Emacs, X11)</appendix>
        <identifier>remap.undo_winstyle_no_term_vi_firefox</identifier>
        <not>VI, EMACS, TERMINAL, VIRTUALMACHINE, REMOTEDESKTOPCONNECTION, TEAMVIEWER, X11</not>
        <autogen>--KeyToKey-- KeyCode::Z, VK_CONTROL, KeyCode::Z, ModifierFlag::COMMAND_L</autogen>
    </item>

Arsey

        // Will build an dropdown element for the given option.
        createOptionValue : function(element,groupId) {
            if ($(element).is(':selected')) {
                $(element).attr('selected', 'selected').prop('selected', true);
            }

            // Support the label attribute on options.
            var label = $(element).attr('label') || $(element).text();
            var value = $(element).val();
            var inputType = this.options.multiple ? "checkbox" : "radio";

natestarner

The objective of this post is to get you from absolutely nothing, to a fully functional nodejs environment.
Software used: Ubuntu 11.10, Nodejs v0.6.12, Nginx, MongoDB, Redis, and NPM modules.

1. Download and install the latest version of Ubuntu: http://www.ubuntu.com/download (don't select any extra items to install when prompted)
2. Once you are logged in and are at your Ubuntu command prompt, install the necessary software you will need:
  a. sudo apt-get install openssh-server
  b. sudo apt-get install libssl-dev
  c. sudo apt-get install git
  d. sudo apt-get install g++
  e. sudo apt-get install make

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

oodavid

Deploy your site with git

This gist assumes:

• you have a local git repo
• with an online remote repository (github / bitbucket etc)
• and a cloud server (Rackspace cloud / Amazon EC2 etc)
  • your (PHP) scripts are served from /var/www/html/
  • your webpages are executed by apache
• apache's home directory is /var/www/

t-abe

#include <useopencv.h>
#include <string>
#include <vector>
#include <iostream>

class InteractiveGrabcut {
    cv::Mat src;
    cv::Mat fgd, bgd;
    bool ldrag, rdrag;
    std::string name;