mathiasbynens

// ==UserScript==
// @name Bypass New York Times paywall (20 article limit)
// @author Mathias Bynens <http://mathiasbynens.be/>
// @link http://mths.be/axa
// @match http://www.nytimes.com/*
// ==/UserScript==

(function(d) {
	d.getElementById('overlay').style.display = 'none';
	d.getElementById('gatewayCreative').style.display = 'none';

mildsunrise

gcd={a,b->b?gcd(b,a%b):a}
mcm={a,b->a*b/gcd(a,b)}

themoxman

#!/usr/bin/env ruby

require 'aws-sdk'

# initialize S3 client
s3_client = Aws::S3::Client.new(region: 'us-east-1')

# initialize KMS client
kms_client = Aws::KMS::Client.new(region: 'us-east-1')

bzamecnik

Anaconda Python script running as systemd service

This way a Python daemon can be installed on Rasbian, Ubuntu or similar systems using systemd.

Installing:

sudo cp hello.service /lib/systemd/system/hello.service
sudo systemctl daemon-reload
sudo systemctl enable hello.service

Brainiarc7

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:

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

2. Set up the encoders as shown:

jganzabal

This configuration worked for me, hope it helps

It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b

and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support

Hardware

sidneys

YouTube video stream format codes

Comprehensive list of YouTube format code itags

itag Code	Container	Content	Resolution	Bitrate	Range	VR / 3D
5	flv	audio/video	240p	-	-	-
6	flv	audio/video	270p	-	-	-
17	3gp	audio/video	144p	-	-	-
18	mp4	audio/video	360p	-	-	-
22	mp4	audio/video	720p	-	-	-

lnshi

Background

Currently if you try to use the TensorFlow rust bindings crate: tensorflow = "0.17.0", this crate's sub-crate: tensorflow-sys will try to build the underlying TensorFlow C library from the source as Google hasn't provided an official release for Apple M1, but unfortunately the building will fail.

This gist provides a full working instructions for you to build the TensorFlow C library on Apple M1 (darwin_arm64), and eventually use it with the TensorFlow rust bindings crate: tensorflow = "0.17.0".

This gist was tested on TensorFlow v2.8.0, the other versions should work in the same way.

Steps