gcman105

# Package generated configuration file
# See the sshd_config(5) manpage for details

# What ports, IPs and protocols we listen for
Port 22
# Use these options to restrict which interfaces/protocols sshd will bind to
#ListenAddress ::
#ListenAddress 0.0.0.0
Protocol 2
# HostKeys for protocol version 2

dgrtwo

library(tidyverse)

# Data is downloaded from here:
# https://www.kaggle.com/c/digit-recognizer
kaggle_data <- read_csv("~/Downloads/train.csv")

pixels_gathered <- kaggle_data %>%
  mutate(instance = row_number()) %>%
  gather(pixel, value, -label, -instance) %>%
  extract(pixel, "pixel", "(\\d+)", convert = TRUE)

felixgwu

import torch
from torch import nn

__all__ = ['FCDenseNet', 'fcdensenet_tiny', 'fcdensenet56_nodrop',
           'fcdensenet56', 'fcdensenet67', 'fcdensenet103',
           'fcdensenet103_nodrop']


class DenseBlock(nn.Module):

noogen

From Fresh install

1) update and upgrade as root

apt-get update && apt-get upgrade -y

• Setting up hostname, skip if done with installation

pico /etc/hosts

renier

#!/bin/bash

# https://developer.ibm.com/answers/questions/462237/error-groot-must-be-grub-root-device-on-ubuntu/
sed -i -e 's/LABEL=cloudimg-rootfs/(hd0)/' /boot/grub/menu.lst

apt-get update > /dev/null
apt-get install unattended-upgrades -y
timeout 20m unattended-upgrade
apt-get autoremove -y
apt-get autoclean -y

renier

#!/bin/bash
apt-get update
apt-get upgrade -y
apt-get autoremove -y
apt-get autoclean -y

apt-get install ufw -y
apt-get install denyhosts -y

# Configure firewall

w1ndy

{
        "defaultAction": "SCMP_ACT_ERRNO",
        "architectures": [
                "SCMP_ARCH_X86_64",
                "SCMP_ARCH_X86",
                "SCMP_ARCH_X32"
        ],
        "syscalls": [
                {
                        "name": "accept",

Egor-Skriptunoff

__=2;print(1/(

        -  ~  -  ~  -  ~  -  ~  -  ~  -  ~  -  ~  -
       ~ __/ ~  -  ~  -  ~  -  ~  -  ~  -  ~  -  ~
      - __/ -  ~  - __/ -  ~ __/ ~  - __/__/ ~  -
     ~ __/ ~  -  ~ __/ ~  - __/ -  ~  -  ~ __/ ~
    - __/ -  ~  - __/ -  ~ __/ ~  - __/__/__/ -
   ~ __/ ~  -  ~ __/ ~  - __/ - __/ -  ~ __/ ~
  - __/__/__/__/ ~ __/__/__/ ~  - __/__/__/ -
 ~  -  ~  -  ~  -  ~  -  ~  -  ~  -  ~  -  ~

cburgdorf

import numpy as np
from keras.models import Sequential
from keras.layers.core import Activation, Dense

training_data = np.array([[0,0],[0,1],[1,0],[1,1]], "float32")
target_data = np.array([[0],[1],[1],[0]], "float32")

model = Sequential()
model.add(Dense(32, input_dim=2, activation='relu'))
model.add(Dense(1, activation='sigmoid'))

farrajota

--[[
    Create a binary tree using two ways: NN containers and nn.gModule containers. 
    This example is fairly simple, and the default fully-connected layers are all
    of size 100. However, this should also be simple to modify to allow different 
    fc layers with varying inputs/outputs if desired (for example: input a table
    storing input+output configuration values for each of the sub-branch's level).
]]

require 'nn'
require 'nngraph'