Video tutorial: https://www.youtube.com/watch?v=GSbwYbfVE6c
Make sure your browser's download folder is empty, downloading all these media can flood your download folder with files and it'll be annoying to move later.
| // ==UserScript== | |
| // @name Contents Clamp | |
| // @updateURL https://gist.github.com/foriequal0/12794f45f5ef60249e8ba36f978dfaa4/raw/content-clamp.user.js | |
| // @version 10 | |
| // @match http://*/* | |
| // @match https://*/* | |
| // @run-at document-idle | |
| // ==/UserScript== | |
| (function ContentsClamp(){ |
| // SwiftUI Custom Styles (TripleToggleStyle) | |
| // https://swiftui-lab.com | |
| // https://swiftui-lab.com/custom-styling | |
| import SwiftUI | |
| // MARK: - TripleToggle View | |
| public struct TripleToggle: View { | |
| @Environment(\.tripleToggleStyle) var style: AnyTripleToggleStyle | |
Blacklist the nvidia driver:
sudo bash -c "echo options nouveau modeset=0 >> /etc/modprobe.d/blacklist-nvidia-nouveau.conf"
sudo bash -c "echo blacklist nouveau > /etc/modprobe.d/blacklist-nvidia-nouveau.conf"
/etc/default/grub:
| #!/bin/sh | |
| # OUTDATED: please refer to the link below for the latest version: | |
| # https://github.com/rancherlabs/support-tools/blob/master/extended-rancher-2-cleanup/extended-cleanup-rancher2.sh | |
| docker rm -f $(docker ps -qa) | |
| docker volume rm $(docker volume ls -q) | |
| cleanupdirs="/var/lib/etcd /etc/kubernetes /etc/cni /opt/cni /var/lib/cni /var/run/calico /opt/rke" | |
| for dir in $cleanupdirs; do | |
| echo "Removing $dir" | |
| rm -rf $dir | |
| done |
| (* | |
| -- When running each app separately | |
| tell application "Deezer" | |
| if it is running then | |
| set old to (path to frontmost application as text) | |
| tell application "Deezer" | |
| reopen | |
| activate | |
| end tell | |
| tell application "System Events" to key code 49 |
| variable "password" { | |
| default = "PUT_YOUR_PASSWORD_HERE" | |
| } | |
| variable "hostname" { | |
| default = "agent-from-terraform" | |
| } | |
| #Create a new Rancher registration token | |
| resource "rancher_registration_token" "default" { |
| class FairPlayer: AVPlayer { | |
| private let queue = DispatchQueue(label: "com.icapps.fairplay.queue") | |
| func play(asset: AVURLAsset) { | |
| // Set the resource loader delegate to this class. The `resourceLoader`'s delegate will be | |
| // triggered when FairPlay handling is required. | |
| asset.resourceLoader.setDelegate(self, queue: queue) | |
| // Load the asset in the player. |
| // | |
| // PaginationNetworkLogic.swift | |
| // | |
| // Created by Daniel Tartaglia on 4/9/17. | |
| // Copyright © 2019 Daniel Tartaglia. MIT License | |
| // | |
| import RxSwift | |
| struct PaginationUISource { |
The authors train a character-RNN (using mLSTM units) over Amazon Product Reviews (82 million reviews) and use the char-RNN as the feature extractor for sentiment analysis. These unsupervised features beat state of the art results for the dataset while are outperformed by supervised approaches on other datasets. Most important observation is that the authors find a single neuron (called as the sentiment neuron) which alone achieves a test accuracy of 92.3% thus giving the impression that the sentiment concept has been captured in that single neuron. Switching this neuron on (or off) during the generative process produces positive (or negative) reviews.