Akila Wickey akilawickey

First you generate ssh key in the server

ssh-keygen -t rsa -b 4096 -C "[email protected]"
Uploading this public key to deploy keys in GitHub
Then you create /home/user/.ssh/config file
Then you clone repository with git clone https://github.com/akilawickey/akilawickey.github.io.git
create a bash file as sync.sh
Give privilages to the script by chmod +x sync.sh
And then put it in cronjob to make it happen peroidly
just go to terminal and type crotab -e and edit it as following structure

How to install PhantomJS on Ubuntu

Version: 1.9.8

Platform: x86_64

First, install or update to the latest system software.

sudo apt-get update
sudo apt-get install build-essential chrpath libssl-dev libxft-dev

	var express = require('express');
	var path = require('path');
	var favicon = require('serve-favicon');
	var logger = require('morgan');
	var cookieParser = require('cookie-parser');
	var bodyParser = require('body-parser');
	var exphbs = require('express-handlebars');
	var router = express.Router();

	var index = require('./routes/index');

	This is the steps how to include zebkit recipes to gdp and build a target to run the zebra

	https://github.com/GENIVI/genivi-dev-platform.git
	cd genivi-dev-platform
	source init.sh qemux86-64
	cd ../meta-genivi-dev/meta-genivi-dev/
	wget https://github.com/akilawickey/meta-genivi-dev/commit/94f5427aaffea0a141547697b1da203463545353.patch
	git am -i *.patch
	#Edit the genivi-dev-platform.bb using nano
	nano recipes-dev-platform/images/genivi-dev-platform.bb

	# Implementation of a simple MLP network with one hidden layer. Tested on the iris data set.
	# Requires: numpy, sklearn>=0.18.1, tensorflow>=1.0

	# NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1'
	# where x' = [x \| 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's.
	# Similarly, for h * W_2 + b_2
	import tensorflow as tf
	import numpy as np
	from sklearn import datasets
	from sklearn.model_selection import train_test_split

	#!/usr/bin/env bash
	# Ubuntu Server or VM Cleaner. Safe by default; aggressive when asked.
	# Example safe: sudo ./clean.sh
	# Example aggressive: sudo JOURNAL_DAYS=3 AGGRESSIVE=1 ./clean.sh
	# Enable Docker image prune (images only): sudo ./clean.sh --docker-images
	# Tested on Ubuntu 20.04, 22.04, 24.04 (server/VM images).

	set -Eeuo pipefail
	trap 'rc=$?; echo "Error on line $LINENO: $BASH_COMMAND (exit $rc)"; exit $rc' ERR
	IFS=$'\n\t'