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from gensim.models import KeyedVectors
# Load gensim word2vec
w2v_path = '<Gensim File Path>'
w2v = KeyedVectors.load_word2vec_format(w2v_path)
import io
# Vector file, `\t` seperated the vectors and `\n` seperate the words
"""
@kevin-smets
kevin-smets / iterm2-solarized.md
Last active October 16, 2025 10:42
iTerm2 + Oh My Zsh + Solarized color scheme + Source Code Pro Powerline + Font Awesome + [Powerlevel10k] - (macOS)

Default

Default

Powerlevel10k

Powerlevel10k

@eLindemann
eLindemann / dabblet.css
Created April 1, 2013 20:41
"Google Now" Card
/**
* "Google Now" Card
*/
body {
background: #e1e1e1;
min-height: 100%;
margin: auto;
}
ul.gNow {
width: 450px;
@netj
netj / memusg
Last active May 23, 2025 07:37
memusg -- Measure memory usage of processes
#!/usr/bin/env bash
# memusg -- Measure memory usage of processes
# Usage: memusg COMMAND [ARGS]...
#
# Author: Jaeho Shin <netj@sparcs.org>
# Created: 2010-08-16
############################################################################
# Copyright 2010 Jaeho Shin. #
# #
# Licensed under the Apache License, Version 2.0 (the "License"); #