Ilya Baryshnikov lucidyan

Prevent NVIDIA GPUs' throttling on headless server

Unlock manual fan & overclock settings
sudo nvidia-xconfig -a --cool-bits=28 --allow-empty-initial-configuration
Reboot system
Create script /usr/local/bin/gpu-fan-control.sh

#!/bin/bash

Grep files with selected extensions only

find ./ -type f \( -iname \*.md -o -iname \*.txt \) -exec grep -Hi 'word' {} +

Show files opened in Sublime

cat $HOME/.config/sublime-text-3/Local/Auto\ Save\ Session.sublime_session |grep "\"file\":" |sed 's/^[[:space:]]*//g' |sed 's/^\"file\"\: \"//g' |sort -u | sed 's/[\",]*//ig'"

Convert all .wav to .mp3

spark-on-k8s-operator

Install minikube

curl -Lo minikube https://github.com/kubernetes/minikube/releases/download/v1.5.2/minikube-linux-amd64   && chmod +x minikube
sudo mkdir -p /usr/local/bin/
sudo install minikube /usr/local/bin/

Install VirtualBox

Exact Bayesian Inference for A/B testing

^{use "MathJax Plugin for Github" Chrome extension for Equation support}

Part I

^{author: Evan Haas}
^2009.12.09
^Source

In this three part series I’m going to talk about statistics in the context of A/B Testing. Part I discusses how to analyze experiments using traditional techniques from the frequentist school. Part II will discuss the Bayesian approach, and Part III will provide an implementation of the Bayesian method. Much of the information is adapted from the excellent Information Theory, Inference, and Learning Algorithms by Davi

Process yt-dlp Extracted Subtitles Script

Description

This Python script is designed to process .vtt subtitle files obtained using yt-dlp from YouTube or similar platforms. It merges subtitles with overlapping segments and cleans the text by removing excess whitespace. The script outputs the processed subtitles into a new text file with a timestamped filename.

Features

Subtitle Merging: Combines multiple subtitle entries into a single entry, considering overlaps.
Text Cleaning: Cleans subtitle text by replacing newline characters and reducing multiple spaces to a single space.
Output: Generates a cleaned and merged text file for each .vtt file in the specified directory.

	# Non-recursive flatten nested dictionaries in Python3
	# Source: https://codereview.stackexchange.com/a/173483/173155

	from itertools import chain, starmap


	def flatten_dict(dictionary):
	"""Flatten a nested dictionary structure"""

	def unpack(parent_key, parent_value):

	import pandas as pd
	from pyspark.sql import DataFrame

	# Wrapper for seamless Spark's serialisation
	def spark_to_pandas(spark_df: DataFrame) -> pd.DataFrame:
	"""
	PySpark toPandas realisation using mapPartitions
	much faster than vanilla version
	fork: https://gist.github.com/lucidyan/1e5d9e490a101cdc1c2ed901568e082b
	origin: https://gist.github.com/joshlk/871d58e01417478176e7

	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