eabase

Download Cradles

0) Extra goodies

Obfuscated FromBase64String with -bxor nice for dynamic strings deobfuscation:

$t=([type]('{1}{0}'-f'vert','Con'));($t::(($t.GetMethods()|?{$_.Name-clike'F*g'}).Name).Invoke('Yk9CA05CA0hMV0I=')|%{$_-bxor35}|%{[char]$_})-join''

The same as above but for UTF-16 base64 encoded strings:

Tools

Latest BIOS file
ME Analyzer
(CS)ME System Tools
(CS)ME Firmware

1. Download the Latest BIOS File from the Manufacturer

first thing to do

2. ME Analyzer - Check Current ME Version

I was wondering why it took so long for my deep learning rig to fully boot up. It literally takes 5 minutes to go from reboot to ssh service start. Unlike desktop motherboards, the ROMED8-2T has two 10G RDMA ethernet controllers and a port for the IPMI interface.

For a while I thought I must have done something wrong - but it turns out when there are free, unmapped ports it will block boot. To fix this, you just need to make the other interfaces optional in your /etc/netplan/*.yaml

network:
  ethernets:
    enoXnpX:
      addresses:
 - ...

	<#
	.SYNOPSIS

	Speak text using SSML

	.DESCRIPTION

	Speak text using SSML, using built in MS speech synthesis. Will output metadata about result, including any embedded <mark>s

	.PARAMETER Text

	<#

	Prerequisites: PowerShell v3+
	License: MIT
	Author: Michael Klement <mklement0@gmail.com>

	DOWNLOAD and DEFINITION OF THE FUNCTION:

	irm https://gist.github.com/mklement0/25694cbb8e10a7044b36a310e1243959/raw/Get-CharInfo.ps1 \| iex

	<#

	Prerequisites: PowerShell version 2 or above.
	License: MIT
	Author: Michael Klement <mklement0@gmail.com>

	DOWNLOAD, from PowerShell version 3 or above:

	irm https://gist.github.com/mklement0/243ea8297e7db0e1c03a67ce4b1e765d/raw/Out-HostColored.ps1 \| iex

	# References :
	# - https://stackoverflow.com/questions/61776425/logic-for-real-time-algo-trading-expert

	import pytz
	import pandas as pd
	import MetaTrader5 as mt5
	import time
	from datetime import datetime
	from threading import Timer

	""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
	import numpy as np
	import pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward

	$erroractionpreference = 'stop'

	$releases = 'https://files.lhmouse.com/nano-win/'

	ri -r -fo ~/Downloads/nano-installer -ea ignore
	mkdir ~/Downloads/nano-installer \| out-null
	pushd ~/Downloads/nano-installer
	curl -sLO ($releases + (
	iwr -usebasicparsing $releases \| % links \|
	? href -match '\.7z$' \| select -last 1 \| % href

	function Get-ProcessPipes{
	param(
	[Parameter(Mandatory=$false)]
	[string]$CSV,
	[Parameter(Mandatory=$false)]
	[switch]$All
	)

	Add-Type -TypeDefinition @"
	using System;