Skip to content

Instantly share code, notes, and snippets.

@p1nox
p1nox / using_meld_on_mac.md
Last active August 6, 2025 13:34
Using meld on Mac

Using Meld merging tool on Mac

Aug 2025

Best way to install is using official docs from osx repo here. Remember to configure meld as difftool in the command line as well.

May 2023

There are two ways of installing meld on osx, using brew and .dmg package (from @yousseb). Since I found https://yousseb.github.io/meld/, I've installed it with .dmg package, but having macOS Ventura Version 13.4 (22F66) in place, it's not even starting for me. So I tried brew installation, and the application is working as expected, including symlink to start it from the terminal.

@vertexclique
vertexclique / cracking.md
Last active October 31, 2025 20:48
Cracking guide for Sublime Text 3 Build 3059 / 3065 ( Mac / Win x86_64 / Windows x86 / Linux x64 / Linux x86 )

MacOS

Build 3059

MD5: 59bab8f71f8c096cd3f72cd73851515d

Rename it to: Sublime Text

Make it executable with: chmod u+x Sublime\ Text

@dyatlov
dyatlov / hb-test.py
Last active September 22, 2024 01:05
OpenSSL heartbeat PoC with STARTTLS support - Python3 version
# Quick and dirty demonstration of CVE-2014-0160 by Jared Stafford ([email protected])
# The author disclaims copyright to this source code.
import sys
import struct
import socket
import time
import select
import re
import codecs
#!/usr/bin/python
# Quick and dirty demonstration of CVE-2014-0160 by Jared Stafford ([email protected])
# The author disclaims copyright to this source code.
import sys
import struct
import socket
import time
import select
@natelandau
natelandau / .bash_profile
Last active November 9, 2025 04:02
Mac OSX Bash Profile
# ---------------------------------------------------------------------------
#
# Description: This file holds all my BASH configurations and aliases
#
# Sections:
# 1. Environment Configuration
# 2. Make Terminal Better (remapping defaults and adding functionality)
# 3. File and Folder Management
# 4. Searching
# 5. Process Management
@onauparc
onauparc / C++ Predict with caffe
Created June 17, 2014 13:36
sample code for caffe C++ prediction
#include <cuda_runtime.h>
#include <cstring>
#include <cstdlib>
#include <vector>
#include <string>
#include <iostream>
#include <stdio.h>
#include "caffe/caffe.hpp"
slight modification of vgg16 (shrinked ip layers and dropout added) trained on cifar10 with and without batch normalization
also uses prelu: https://github.com/BVLC/caffe/pull/1940
and msr weight filler: https://github.com/BVLC/caffe/pull/1883
@karpathy
karpathy / gist:f3ee599538ff78e1bbe9
Last active July 6, 2019 13:34
Batched L2 Normalization Layer for Torch nn package
--[[
This layer expects an [n x d] Tensor and normalizes each
row to have unit L2 norm.
]]--
local L2Normalize, parent = torch.class('nn.L2Normalize', 'nn.Module')
function L2Normalize:__init()
parent.__init(self)
end
function L2Normalize:updateOutput(input)
@hiwonjoon
hiwonjoon / converter
Last active February 14, 2017 10:59
Cifar 10 data set converter from pylearn2 format to level db
import caffe_pb2 as proto
import leveldb
import sys
db = leveldb.LevelDB('./cifar_test',block_size=40 * (2 << 20) )
import struct
def unpickle(file):
import cPickle
@iamtekeste
iamtekeste / Download Google Drive files with WGET
Created July 8, 2015 11:00
Download Google Drive files with WGET
Download Google Drive files with WGET
Example Google Drive download link:
https://docs.google.com/open?id=[ID]
To download the file with WGET you need to use this link:
https://googledrive.com/host/[ID]
Example WGET command: