M. Mert Yildiran mertyildiran

mounting iPhone storage in Ubuntu 16.04 LTS

check if your device was recognized correctly

$ dmesg | grep ipheth
[62051.385352] ipheth 1-5:4.2: Apple iPhone USB Ethernet device attached
[62051.385437] usbcore: registered new interface driver ipheth

create mounting point and make it writable (optional)

Microsoft Windows and Office KMS Setup

Streaming your Linux desktop to Youtube and Twitch via Nvidia's NVENC and VAAPI:

Considerations to take when live streaming:

The following best practice observations apply when using a hardware-based encoder for live streaming to any platform:

Set the buffer size (-bufsize:v) equal to the target bitrate (-b:v). You want to ensure that you're encoding in CBR mode.
Set up the encoders as shown:

	version: "3.2"

	# run script
	# docker swarm init
	# docker stack deploy timeseries -c docker-compose.yml
	services:
	influxdb:
	image: influxdb:latest
	ports:
	- 8086:8086

	def triplet_loss(y_true, y_pred, alpha = 0.2):
	"""
	Implementation of the triplet loss function

	Arguments:
	y_true -- true labels, required when you define a loss in Keras, not used in this function.
	y_pred -- python list containing three objects:
	anchor: the encodings for the anchor data
	positive: the encodings for the positive data (similar to anchor)
	negative: the encodings for the negative data (different from anchor)

	/* compile with:
	* gcc $(pkg-config xext x11 cairo-xlib-xrender --cflags --libs) cairo-xshape-example.c
	* https://github.com/jordansissel/experiments/blob/master/randomcode/cairo-xshape-example.c
	*/

	#include <cairo-xlib.h>
	#include <X11/Xlib.h>
	#include <X11/Xutil.h>
	#include <stdio.h>
	#include <X11/extensions/shape.h>

	#!/bin/bash

	# install CUDA Toolkit v8.0
	# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
	CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
	wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
	sudo dpkg -i ${CUDA_REPO_PKG}
	sudo apt-get update
	sudo apt-get -y install cuda

	#!/bin/sh

	CTARGET="$1"
	if [ -z "$CTARGET" ]; then
	program=$(basename $0)
	echo "usage: $program TARGET_ARCH"
	return 1
	fi

	# get abuild configurables

	package com.irinnovative.enablegps;

	import android.app.Activity;
	import android.content.Intent;
	import android.content.IntentSender;
	import android.os.Bundle;
	import android.support.annotation.NonNull;
	import android.support.annotation.Nullable;

	import com.google.android.gms.common.api.GoogleApiClient;