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@qoomon
qoomon / youtube_clean_watch_later_videos.js
Last active April 15, 2024 07:25
Clean YouTube Watch Later Videos
// Version 2.0.1
// This script will remove all videos from watch later list
//
// Usage
//
// #1 go to https://www.youtube.com/playlist?list=WL
// #2 run following script in your browser console
(async function() {
const playlistName = document.querySelector('.metadata-wrapper #container #text')?.textContent || document.querySelector('#text')?.textContent
@cdump
cdump / prom.py
Created January 3, 2020 08:50
cleargrass prometheus
#!/usr/bin/python3
from time import sleep, time
import miio
from prometheus_client import start_http_server, Gauge
if __name__ == '__main__':
MONITOR_IP = '192.168.88.100'
MONITOR_TOKEN = 'aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa'
@bogdan-kulynych
bogdan-kulynych / install-cuda-10-bionic.sh
Last active December 5, 2023 10:26
Install CUDA 10 on Ubuntu 18.04
# WARNING: These steps seem to not work anymore!
#!/bin/bash
# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"
# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
@peci1
peci1 / scipy_odr_test.py
Created September 17, 2018 14:18
Test of scipy.odr regressor
from __future__ import print_function
import numpy as np
import scipy.linalg
from scipy.odr import *
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import pyplot as plt
import sys
import time
@Mahedi-61
Mahedi-61 / cuda_11.8_installation_on_Ubuntu_22.04
Last active June 12, 2024 10:40
Instructions for CUDA v11.8 and cuDNN 8.9.7 installation on Ubuntu 22.04 for PyTorch 2.1.2
#!/bin/bash
### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###
### to verify your gpu is cuda enable check

If you are like me you find yourself cloning a repo, making some proposed changes and then deciding to later contributing back using the GitHub Flow convention. Below is a set of instructions I've developed for myself on how to deal with this scenario and an explanation of why it matters based on jagregory's gist.

To follow GitHub flow you should really have created a fork initially as a public representation of the forked repository and the clone that instead. My understanding is that the typical setup would have your local repository pointing to your fork as origin and the original forked repository as upstream so that you can use these keywords in other git commands.

  1. Clone some repo (you've probably already done this step).

    git clone git@github...some-repo.git
@gumption
gumption / rank_metrics.py
Last active August 8, 2018 16:32 — forked from bwhite/rank_metrics.py
Ranking Metrics
"""Information Retrieval metrics
Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np
@sameoldmadness
sameoldmadness / README.md
Last active June 21, 2024 11:38
Нагрузочное тестирование c Yandex.Tank и JMeter

Нагрузочное тестирование c Yandex.Tank и JMeter

На этой странице описывается процесс настройки нагрузочного тестирования внешних ресурсов.

Кратко

Для тестирования поведения сервиса под нагрузкой используется утилита Yandex Tank.

Танку можно указать патроны (HTTP-запросы, которые будут отправлены на целевой сервер) и расписание (количество запросов в секунду к целевому серверу в каждый момент времени стрельб, а также продолжительность стрельб). Также к танку можно подключить плагин мониторинга, позволяющий снимать показатели (например, количество свободной памяти или загрузку процессора) с целевого сервера.

@molpopgen
molpopgen / RemoteJupyter.md
Last active February 19, 2022 22:05
SSH port forwarding and Jupyter

Problem

You want to use Jupyter remotely. X11 forwarding is too slow for this.

Solution

SSH port forwarding!

The recipe

@0xjac
0xjac / private_fork.md
Last active June 28, 2024 19:27
Create a private fork of a public repository

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

  1. Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare git@github.com:usi-systems/easytrace.git