hi2p-perim

/*
	Check SSE/AVX support.
	This application can detect the instruction support of
	SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, SSE4a, SSE5, and AVX.
*/

#include <iostream>
#ifdef _MSC_VER
#include <intrin.h>
#endif

tejainece

#!/bin/bash

ALTERA_PATH=~/altera/13.1/

sudo dpkg --add-architecture i386
sudo apt-get update
sudo apt-get install gcc-multilib g++-multilib \
lib32z1 lib32stdc++6 lib32gcc1 \
expat:i386 fontconfig:i386 libfreetype6:i386 libexpat1:i386 libc6:i386 libgtk-3-0:i386 \
libcanberra0:i386 libpng12-0:i386 libice6:i386 libsm6:i386 libncurses5:i386 zlib1g:i386 \

strezh

Установка под Linux

При установке под линукс (проверено на Ubuntu 16):

1. Устанавливаем wine
2. Из папки crack копируем файл MentorKG.exe в <install_dir>/linux (или /linux_x86_64)
3. Выполняем

sudo chown root:root ~/.wine

Neo23x0

This Gist has been transfered into a Github Repo. You'll find the most recent version here.

YARA Performance Guidelines

When creating your rules for YARA keep in mind the following guidelines in order to get the best performance from them. This guide is based on ideas and recommendations by Victor M. Alvarez and WXS.

• Revision 1.4, October 2020, applies to all YARA versions higher than 3.7

esutton

#!/bin/sh
# 
# File: macos-installer-to-iso.sh
#
# Create a bootable ISO image from a macOS installer to install VMware ESXi guests.
#
# https://gist.github.com/Kutkovsky/613e29f35d3ef420b23b59ecdf7a28e0

# Debug on: set -x
set -eux

Olshansk

# A one liner to leverage the GPU on a mac to transcribe audio files
# Inspired by https://simonwillison.net/2024/Aug/13/mlx-whisper/
llm_transcribe_recording () {
	local file_path="$1"
	python3 -c "
import mlx_whisper
result = mlx_whisper.transcribe('$file_path', path_or_hf_repo='mlx-community/distil-whisper-large-v3')
print(result['text'])
"
}