Agatha Uy agathauy

Install remote desktop / remote control for Jetson Nano

Anydesk doesn't support and doesn't work on Jetson Nano (aarch64). So you will need to install VNC, the easiest and fastest is to install the X2Go server. NoMachine, TeamViewer, AnyDesk, OpenVino, VNC, RDP, XRDP, Remote access for Jetson Nano / Xavier.

Installation

sudo apt update
sudo apt upgrade
sudo apt install openssh-server vim git gcc g++ net-tools
sudo apt-get install xubuntu-desktop (select lightdm)

How To Work With Multiple Github Accounts on a single Machine

Let suppose I have two github accounts, https://github.com/rahul-office and https://github.com/rahul-personal. Now i want to setup my mac to easily talk to both the github accounts.

NOTE: This logic can be extended to more than two accounts also. :)

The setup can be done in 5 easy steps:

Steps:

Step 1 : Create SSH keys for all accounts
Step 2 : Add SSH keys to SSH Agent

Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software

NVIDIA graphics card driver (v450.57)
CUDA (v11.0.2)
cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

Comparison of syntax extensions in Markdown flavors

I created a crude comparison of the syntax of the various common Markdown extensions to have a better view on what are the most common extensions and what is the most widely accepted syntax for them. The list of Markdown flavors that I looked at was based on the list found on CommonMark's GitHub Wiki.

Flavor	Superscript	Subscript	Deletion* Strikethrough	Insertion*	Highlight*	Footnote	Task list	Table	Abbr	Deflist	Smart typo	TOC	Math	Math Block	Mermaid
GFM

	#!/usr/bin/env bash
	# XInput/Synclient settings for Apple Magic Touchpad 2
	# AGPL v3.0 or greater at your option
	# (C) Leonora Tindall 2021
	# Based on a Reddit post by /u/fr3lld
	# and a very helpful AskUbuntu response by Jamie Scott
	# Place this somewhere, set it as executable, and place the filename
	# in in ~/.xinitrc

	set -e

	[Unit]
	Description=Kills VLC on resume in order to fix logging spam

	[Service]
	Type=oneshot
	ExecStart=-/usr/bin/killall vlc
	TimeoutSec=0
	StandardOutput=syslog
	After=suspend.target

	' Hack to workaround the Powershell Console popup running on a Windows Scheduled Task
	' Powershell limitations: https://github.com/PowerShell/PowerShell/issues/3028
	'
	' Add this file in the same git root directory as the sync.ps1
	'
	Dim shell,command
	Dim oFSO : Set oFSO = CreateObject("Scripting.FileSystemObject")
	Dim sScriptDir : sScriptDir = oFSO.GetParentFolderName(WScript.ScriptFullName)
	command = "powershell.exe -nologo -File " & sScriptDir & "\sync.ps1"

	#!/usr/bin/env python
	#
	# * Converts citations:
	# "[[Lastname2019a]]" into "\cite{Lastname2019a}"
	#
	# * Interprets code blocks with four back-ticks (````) as comments,
	# and those with three back-ticks (```) as "lstlisting" environments.
	#
	# * Images:
	# "![[Image Name.png]]" into "\figure (blablablabla)"

	# Author: Daniel Brandenburg
	#
	# This program is free software: you can redistribute it and/or modify
	# it under the terms of the GNU General Public License as published by
	# the Free Software Foundation, either version 3 of the License, or
	# (at your option) any later version.
	#
	# This program is distributed in the hope that it will be useful,
	# but WITHOUT ANY WARRANTY; without even the implied warranty of
	# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the

	def create_model(learning_rate,dropout_rate,activation_function,init,neuron1,neuron2):
	model = Sequential()
	model.add(Dense(neuron1,input_dim = 8,kernel_initializer = init,activation = activation_function))
	model.add(Dropout(dropout_rate))
	model.add(Dense(neuron2,input_dim = neuron1,kernel_initializer = init,activation = activation_function))
	model.add(Dropout(dropout_rate))
	model.add(Dense(1,activation = 'sigmoid'))

	adam = Adam(lr = learning_rate)
	model.compile(loss = 'binary_crossentropy',optimizer = adam,metrics = ['accuracy'])