mGalarnyk

# Install R + RStudio on Ubuntu 16.04

sudo apt-key adv –keyserver keyserver.ubuntu.com –recv-keys E084DAB9

# Ubuntu 12.04: precise
# Ubuntu 14.04: trusty
# Ubuntu 16.04: xenial
# Basic format of next line deb https://<my.favorite.cran.mirror>/bin/linux/ubuntu <enter your ubuntu version>/
sudo add-apt-repository 'deb https://ftp.ussg.iu.edu/CRAN/bin/linux/ubuntu xenial/'
sudo apt-get update

pca_animation.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Matlab code to produce PCA animations shown here:
% http://stats.stackexchange.com/questions/2691
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% Static image

clear all
rng(42)

guycalledseven

# after appcleaner does his magic, do this

sudo rm -rf "/Library/Application Support/Paragon Software/"
sudo rm /Library/LaunchDaemons/com.paragon-software.installer.plist
sudo rm /Library/LaunchDaemons/com.paragon-software.ntfs.loader.plist
sudo rm /Library/LaunchDaemons/com.paragon-software.ntfsd.plist
sudo rm /Library/LaunchAgents/com.paragon-software.ntfs.notification-agent.plist
sudo rm -rf /Library/Filesystems/ufsd_NTFS.fs/
sudo rm -rf /Library/PrivilegedHelperTools/com.paragon-software.installer
sudo rm -rf /Library/Extensions/ufsd_NTFS.kext/

uchidama

import keras
from keras.datasets import mnist

import numpy as np
from PIL import Image, ImageOps
import os

def save_image(filename, data_array):
    im = Image.fromarray(data_array.astype('uint8'))
    im_invert = ImageOps.invert(im)

ashokpant

#!/bin/bash

# install CUDA Toolkit v9.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb)
CUDA_REPO_PKG="cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb"
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda-9-0

ArthurNagy

package com.your.package

import android.app.Dialog
import android.os.Bundle
import com.your.package.R
import com.google.android.material.bottomsheet.BottomSheetDialog
import com.google.android.material.bottomsheet.BottomSheetDialogFragment

/**
 * BottomSheetDialog fragment that uses a custom 

bradtraversy

Docker Commands, Help & Tips

Show commands & management commands

$ docker

Docker version info

felipemoraes

Useful materials:

• Machine Learning cheatsheet: https://stanford.edu/~shervine/teaching/cs-229.html
• Pattern Recognition and Machine Learning Book

micti

<!-- https://bulma.io/documentation/form/file/ -->

<div class="file has-name">
  <label class="file-label">
    <input class="file-input" type="file" name="resume">
    <span class="file-cta">
      <span class="file-icon">
        <i class="fas fa-upload"></i>
      </span>
      <span class="file-label">

yashprakash13

 <item android:id="@+id/searchItems"
          android:title="@string/search"
          app:showAsAction="ifRoom"
          android:icon="@drawable/ic_baseline_search"
          app:actionViewClass="androidx.appcompat.widget.SearchView"/>