thieu1995

### Thieu Nguyen (https://www.researchgate.net/profile/Thieu_Nguyen6)
import os
import sys
import re

exclude_folders = [".git", "LICENSE", ".gitignore"]
chars_to_remove = ["`", "~", "!", "@", "#", "$", "%", "^", "&", "*", ":", ",", "<", ">", ";", "+", "|"]
regular_expression = '[' + re.escape(''.join(chars_to_remove)) + ']'

def _rename_files_(path_to_folder=None):

thieu1995

#!/bin/bash
# Clone all github.com repositories for a specified user.

if [ $# -eq 0 ]
  then
    echo "Usage: $0 <user_name> "
    exit;
fi

USER=$1

thieu1995

### Thieu Nguyen (https://www.researchgate.net/profile/Thieu_Nguyen6)
### Excellent article here: https://medium.com/@urban_institute/using-multiprocessing-to-make-python-code-faster-23ea5ef996ba
import time
import multiprocessing

def basic_func(x):
    if x == 0:
        return 'zero'
    elif x % 2 == 0:
        return 'even'

thieu1995

For Tensorflow > 2.0 and Keras

• 2 types of settings:
  • on environment (your os system - linux, windows, mac)
    • It will run your script on multiple cores (CPUs - processors)
    • 2 types:
      • type 0: taskset (some people said we should reset taskset due to the mixed settings of libraries like numpy, scikit-learn, scipy, pandas,....) ==> I tried but it is not working for tensorflow
      • type 1: os.environ['NAME'] = 'CORES'
      • type 2: os.sched_setaffinity(CORE_ID, {LIST_OF_CORE_IDS})

• tensorflow operations

thieu1995

# Remove files/folders
rm -rfv folder
rm file_*         # *: pattern
rm -v folder/*    # Remove all child file in that folder

# Determine file size, all file size in folder
du -sh foldername/filenames

# Watch GPU memory usage in linux
watch -d -n 1 nvidia-smi

thieu1995

from numpy import min, sum, ptp, array 
from numpy.random import uniform 

list_fitness1 = array([-12, -45, 0, 72.1, -32.3])
list_fitness2 = array([0.5, 6.32, 988.2, 1.23])

def get_index_roulette_wheel_selection(list_fitness=None):
	""" It can handle negative also. Make sure your list fitness is 1D-numpy array"""
	scaled_fitness = (list_fitness - min(list_fitness)) / ptp(list_fitness)
	minimized_fitness = 1.0 - scaled_fitness

thieu1995

@article{xie2021predicting,
  title={Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms},
  author={Xie, Chengyu and Nguyen, Hoang and Bui, Xuan-Nam and Nguyen, Van-Thieu and Zhou, Jian},
  journal={Journal of Rock Mechanics and Geotechnical Engineering},
  year={2021},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.jrmge.2021.07.005},
  doi={10.1016/j.jrmge.2021.07.005},
}

thieu1995

<ul>
	{% for category in site.categories %}
	{% assign category_name = category[0] %}
	<li>
		<a href="/blog/categories/{{ category_name | slugify }}/">
			{{ category_name | capitalize | replace: "-", " " }}:
			<span class="badge badge-light">{{site.categories[category_name].size}} articles
			</span>
		</a>
	</li>

thieu1995

<div class="container-fluid">
	<div id="blog_wrapper">
		<div class="row">
			<div class="col-12 col-lg-9 order-lg-first order-md-last order-sm-last order-last">
				{{ content }}
			</div>
			<div class="col-12 col-lg-3 order-lg-last order-md-first order-sm-first order-first">
				{%- include right_sidebar.html -%}
			</div>
		</div>

thieu1995

@incollection{yang2010new,
	author = "Xin-She Yang",
	booktitle = "Nature inspired cooperative strategies for optimization (NICSO 2010)",
	pages = "65–74",
	publisher = "Springer",
	title = "A new metaheuristic bat-inspired algorithm",
	year = "2010",
	url={https://doi.org/10.1007/978-3-642-12538-6_6}
}