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An Overview of AI and Machine Learning Topics

This comprehensive guide provides an introduction to various topics in the field of Artificial Intelligence and Machine Learning. It includes resources for further learning for each topic.

1. Machine Learning

Machine learning algorithms enable computers to learn from and make decisions or predictions based on data.

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Links

Learning

Stable Diffusion

Intro video to ControlNet

Linear Algebra A-Z

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https://web.archive.org/web/20220531022910/http://pub-db.com/
https://www.onyphe.io/
https://github.com/robbyrussell/oh-my-zsh
https://vk.com/app3046467
http://camopedia.org/index.php?title=Main_Page
https://leakedsource.ru/
http://certdb.com/
https://worldpopulationreview.com/country-rankings/murder-rate-by-country
https://websitedownloader.io/
http://iptraf.seul.org/2.6/manual.html#installation

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source: https://www.reddit.com/r/OSINT/comments/12gd5hb/the_new_biggest_osint_list_209_pages_worth_of/

https://start.me/p/7kzDqv/osint-utopia-category?locale=en

https://start.me/p/3g0aKK/sources

https://start.me/p/ZME8nR/osint

https://start.me/p/0Pqbdg/osint-500-tools

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python -m venv venv
source ./venv/bin/activate

pip install --upgrade pip
pip install "tensorflow-io-gcs-filesystem==0.21.0"
pip install --upgrade --no-deps --force-reinstall "cupy-cuda114"
pip install --upgrade --no-deps --force-reinstall "distributed==2021.09.1"
pip install --upgrade --no-deps --force-reinstall "dask==2021.09.1"
pip install ludwig
pip install torch -f https://download.pytorch.org/whl/cu113/torch_stable.html

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Simulation

Physics frameworks

Mujoco

Machine Learning

Sentence Transformers

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import requests
import time


list_of_last_names = ['Nowak','Smith']

def get_all_hits(last_name):
  url = f"https://geneszukacz.genealodzy.pl/index.php?search_lastname={last_name}&from_date=&to_date=&rpp1=&bdm=&url1=&w=&lang=pol&op=se"

  payload={}

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from collections import Counter, defaultdict
import re
import random 


MIN_WORD_LEN = 3
PATH = 'src/usa_last_names.txt'
#PATH = 'src/news_article.txt'

def word_size_frequency(words:list[str]):

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#pip install -U pip setuptools wheel
!pip install -U spacy
!python -m spacy download en_core_web_sm

import spacy
import csv
import re
import string

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import PyPDF2 
from glob import glob
from pathlib import Path
from os import sys

try:
    ROOT = Path(sys.argv[0]).as_posix()
    TITLE = sys.argv[1]
except KeyError as ke:
    print(ke)