Coldmooon

MacOS

Build 3059

MD5: 59bab8f71f8c096cd3f72cd73851515d

Rename it to: Sublime Text

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

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.

Using brew formulae: https://formulae.brew.sh/cask/meld

brew install --cask meld

# set meld as your default git mergetool


	--[[
	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)

	#include <cuda_runtime.h>

	#include <cstring>
	#include <cstdlib>
	#include <vector>

	#include <string>
	#include <iostream>
	#include <stdio.h>
	#include "caffe/caffe.hpp"

	# ---------------------------------------------------------------------------
	#
	# 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

	#!/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

	# 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

	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