| #!/bin/bash | |
| # | |
| # Disable and Mask CUPS & Avahi Services | |
| # | |
| # ~~~ Overview ~~~ | |
| # | |
| # This script is designed to disable and mask specific CUPS (Common Unix Printing System) | |
| # and Avahi services and sockets on your Debian/Ubuntu tree Linux systems. | |
| # | |
| # It reduces possible attack vectors and mitigates several security vulnerabilities |
| #!/usr/bin/env python3 | |
| # word_letter_counter_for_llm_datasets.py | |
| """ | |
| A training set generator to assist an LLM in actually being able to count | |
| the letters in a given word. A model that can't count letters in a word isn't | |
| usable for critical tasks; incorrect letter counts lead to compounding mistakes. | |
| Outputs in JSON, can also use the NLTK corpus for a word dictionary, offering | |
| a quick way to create a massive letter counting dataset for different words. |
This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.
Update: I've disabled comments as of 2025-01-26 to avoid everyone having notifications for something a year on if someone wants to suggest a correction. Folks are free to email to suggest corrections still, of course.
| #!/bin/bash | |
| # this script will download and install the 'linux-modules-extra-raspi' package if: | |
| # | |
| # 1. the Linux distribution is detected as Ubuntu, and | |
| # 2. the mentioned package is not installed on the system according to dpkg. | |
| # | |
| # The packages are: | |
| # On the Raspberry Pi: apt package 'linux-modules-extra[-raspi]', or: | |
| # on x86_64 (amd64) environments, named according to the kernel that's in use. | |
| # is required starting from Ubuntu Impish to install zram-swap |
| #!/bin/bash | |
| # idiotproofing, "lol" | |
| echo "bad human/entity! this isn't inteded to be run!" | |
| tail --lines=+8 ./parsers.sh | |
| exit 1 | |
| # =============================================================================== | |
| # 1. SPLIT A LARGE FILE WITH GPT-2'S <|endoftext|> DELIMITER AS THE SPLIT POINT. | |
| # =============================================================================== |
| { | |
| "Command": "skin", | |
| "Skins": [ | |
| { | |
| "Item Shortname": "fun.guitar", | |
| "Skins": [ | |
| 0, | |
| 809801196, | |
| 826914904, | |
| 809938266, |
| # Code adapted from Tensorflow Object Detection Framework | |
| # https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb | |
| # Tensorflow Object Detection Detector | |
| import numpy as np | |
| import tensorflow as tf | |
| import cv2 | |
| import time | |
| /(youtu(?:\.be|be\.com)\/(?:.*v(?:\/|=)|(?:.*\/)?)([\w'-]+))/i | |
| Tested examples: | |
| http://www.youtube.com/user/Scobleizer#p/u/1/1p3vcRhsYGo | |
| http://www.youtube.com/watch?v=cKZDdG9FTKY&feature=channel | |
| http://www.youtube.com/watch?v=yZ-K7nCVnBI&playnext_from=TL&videos=osPknwzXEas&feature=sub | |
| http://www.youtube.com/ytscreeningroom?v=NRHVzbJVx8I | |
| http://www.youtube.com/user/SilkRoadTheatre#p/a/u/2/6dwqZw0j_jY | |
| http://youtu.be/6dwqZw0j_jY | |
| http://www.youtube.com/watch?v=6dwqZw0j_jY&feature=youtu.be |