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@p1nox
p1nox / using_meld_on_mac.md
Last active January 16, 2025 08:44
Using meld on Mac

Using Meld merging tool on Mac

There are two ways of installing meld on osx (May 2023), 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.

brew install --cask meld

# set meld as your default git mergetool
@vertexclique
vertexclique / cracking.md
Last active February 22, 2025 13:20
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 March 1, 2025 11:46
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: