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#!/bin/bash
# cloudflare warp
# https://developers.cloudflare.com/warp-client/get-started/linux/
# see https://1.1.1.1/
# Panel Icon: /bin/bash -ic ".$HOME/.bashrc.ext;warp toggle"
warp() {
  case $1 in
     on)
       warp-cli connect
       ;;

miraculixx

# coding=utf-8
import os
import sys
from unittest import main

from _jb_runner_tools import jb_start_tests, jb_doc_args, JB_DISABLE_BUFFERING, PROJECT_DIR
from teamcity import unittestpy

if __name__ == '__main__':
    path, targets, additional_args = jb_start_tests()

miraculixx

The AI Manifesto for Humanity

As AI technology continues to rapidly advance, it is crucial that we prioritize its development and use in a way that benefits humanity. The AI Manifesto for Humanity outlines 10 key rules to guide the development and deployment of AI in a way that prioritizes transparency, safety, fairness, privacy, collaboration, human control, ongoing research and development, ethical standards, education and awareness, and

miraculixx

#!/bin/bash
# run this from /usr/lib/systemd/system-sleep/pre-suspend.sh
# adopted from https://www.addictivetips.com/ubuntu-linux-tips/run-scripts-and-commands-on-suspend-and-resume-on-linux/
USER=$(ls /home | grep -v root | tail -n1)
if [ "${1}" == "pre" ]; then
  killall barrier barrierc
elif [ "${1}" == "post" ]; then
  # need to run in background to ensure other post resume processing happens first
  sudo su - $USER -c "nohup bash -c 'sleep 10; env DISPLAY=:0 /usr/bin/flatpak run --branch=stable --arch=x86_64 --command=barrier com.github.debauchee.barrier' &" 
fi

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""" omega-ml bulk deployment utility
(c) 2020 one2seven GmbH, Switzerland

Enables deployment of datasets, models, scripts, jobs as well as cloud
resources from a single configuration file. This is currently a separate
utility that will be integrated into the omega-ml cli.

Installation:
    $ pip install -U getgist omegaml==0.14.0
    $ getgist omegaml omdeploy

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function topnfiles {
  # show top n files by size
  # Usage: $ topnfiles <dir> <n>
  # https://www.cyberciti.biz/faq/how-do-i-find-the-largest-filesdirectories-on-a-linuxunixbsd-filesystem/
  du -hsx ${1:-.}/* | sort -rh | head -${2:-10}
}

# show home dir size, available space
alias hdf='df -h | grep home'

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# Details on usage see docstring
# 
# Installation:
#
# $ pip install invoke
# $ (copy/paste this file to your local tasks.py)
# 
# Usage:
# 
# 1. amend your values.yaml with a #==tags.myfeature (at line end of line to update)

miraculixx

Reading up

• Intro article https://www.investopedia.com/articles/active-trading/101014/basics-algorithmic-trading-concepts-and-examples.asp

• Technical analysis - https://www.investopedia.com/terms/t/technicalanalysis.asp

• Investopedia has some good links on various indicators, e.g. RSI, MACD, Ichimoku cloud etc.

• Datacamp has some good blogs

miraculixx

Question by @nntaleb

  Throw a coin, H=head, T= Tail. Which sequence one is more likely?  

  A={H,T,H,T,H,T,H,T,H,T,T,H,T,H,H,T,T,T,H,H}

  B={H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H}

  C={H,H,H,H,H,H,H,H,H,H,T,T,T,T,T,T,T,T,T,T}
  

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# this will chain the fit and predict, i.e. fit will run only on predict success
with om.runtime.chain() as crt:
    crt.model('regmodelx').fit('sample[y]', 'sample[x]')
    crt.model('regmodelx').predict([5], rName='foox')
    result = crt.run()

# sometime later
print(result.get())