Mohammad Hafiz bin Ismail (mypapit) mypapit

## batch-docx-to-markdown.sh
#!/usr/bin/env bash
set -u
shopt -s nullglob

echo "Batch convert DOCX to Markdown"
echo "Script downloaded from https://blog.mypapit.net"

if ! command -v pandoc >/dev/null 2>&1; then
    printf 'Pandoc is missing. Install it with: sudo apt install pandoc\n' >&2
    exit 1

## spectrum.sh
#!/usr/bin/env bash

# ============================================================================
# MP3 Rainbow Spectrum Video Generator
#
# Description:
#   Generates a 1920x1080 MP4 audio spectrum visualizer with animated
#   multicolor frequency bars while reserving the bottom area for lyrics.
#
# Author:

## hciscanner.sh
#/bin/bash

/usr/bin/hcitool con

/usr/bin/hcitool scan


## checkping.sh
#!/bin/bash

# Configuration variables
TARGET_HOST="8.8.8.8"
MAX_FAILURES=5
FAILURE_COUNT=0
RETRY_DELAY_SECONDS=10

# Iterative connectivity verification
for ((i=1; i<=MAX_FAILURES; i++)); do

## gpu_fan_control.sh
#!/bin/bash
# semi-automatic script to check nvidia gpu temperature, and then trigger the fan for 15 minutes.
# intended to run within other scripts or in crontab
# Query GPU temperature
export DISPLAY=:0
TEMP=$(nvidia-smi --query-gpu=temperature.gpu --format=csv,noheader,nounits)
echo "$TEMP"

# Check if TEMP is greater than 60
if [ "$TEMP" -gt 60 ]; then

## Dockerfile
FROM nvcr.io/nvidia/tensorflow:25.02-tf2-py3

# Set non-interactive mode for clean installs
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3-pip \
    python3-opencv \
    graphviz \

## tensorflow-windows-310gpu-last.txt
#This won't work on RTX50-series

conda create --name workshop python=3.9

conda activate workshop
conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0
pip install --upgrade pip

pip install "tensorflow<2.11" tensorflow_hub seaborn pandas matplotlib opencv-python pillow imutils pydot graphviz librosa visualkeras keract tensorflowjs numpy==1.26.4 scikit-learn=1.3.0

## tensorflow gpu 2.10 installation windows 11.sh
# this is for using conda
conda create -n tensorflow python=3.10
conda activate tensorflow

conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0


# Anything above 2.10 is not supported on the GPU on Windows Native
#ensure numpy 1.26 is installed (tensorflow 2.10 compat)
python -m pip install tensorflow==2.10 scikit-learn==1.6.1 numpy=1.24.4

## casaos-ptrerodactyle-panel.sh
#https://github.com/bigbeartechworld/big-bear-casaos/tree/master/Apps/pterodactyl-panel

bash -c "$(wget -qLO - https://raw.githubusercontent.com/bigbeartechworld/big-bear-scripts/master/start-pterodactyl-panel/run.sh)"

## install-pytorch-cuda.py
#conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia.

import torch

device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')

# Assuming that we are on a CUDA machine, this should print a CUDA device:

print(device)
	#!/usr/bin/env bash
	set -u
	shopt -s nullglob

	echo "Batch convert DOCX to Markdown"
	echo "Script downloaded from https://blog.mypapit.net"

	if ! command -v pandoc >/dev/null 2>&1; then
	printf 'Pandoc is missing. Install it with: sudo apt install pandoc\n' >&2
	exit 1
	#!/usr/bin/env bash

	# ============================================================================
	# MP3 Rainbow Spectrum Video Generator
	#
	# Description:
	# Generates a 1920x1080 MP4 audio spectrum visualizer with animated
	# multicolor frequency bars while reserving the bottom area for lyrics.
	#
	# Author:
	#!/bin/bash

	# Configuration variables
	TARGET_HOST="8.8.8.8"
	MAX_FAILURES=5
	FAILURE_COUNT=0
	RETRY_DELAY_SECONDS=10

	# Iterative connectivity verification
	for ((i=1; i<=MAX_FAILURES; i++)); do
	#!/bin/bash
	# semi-automatic script to check nvidia gpu temperature, and then trigger the fan for 15 minutes.
	# intended to run within other scripts or in crontab
	# Query GPU temperature
	export DISPLAY=:0
	TEMP=$(nvidia-smi --query-gpu=temperature.gpu --format=csv,noheader,nounits)
	echo "$TEMP"

	# Check if TEMP is greater than 60
	if [ "$TEMP" -gt 60 ]; then
	FROM nvcr.io/nvidia/tensorflow:25.02-tf2-py3

	# Set non-interactive mode for clean installs
	ENV DEBIAN_FRONTEND=noninteractive

	# Install system dependencies
	RUN apt-get update && apt-get install -y \
	python3-pip \
	python3-opencv \
	graphviz \
	#This won't work on RTX50-series

	conda create --name workshop python=3.9

	conda activate workshop
	conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0
	pip install --upgrade pip

	pip install "tensorflow<2.11" tensorflow_hub seaborn pandas matplotlib opencv-python pillow imutils pydot graphviz librosa visualkeras keract tensorflowjs numpy==1.26.4 scikit-learn=1.3.0
	# this is for using conda
	conda create -n tensorflow python=3.10
	conda activate tensorflow

	conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0


	# Anything above 2.10 is not supported on the GPU on Windows Native
	#ensure numpy 1.26 is installed (tensorflow 2.10 compat)
	python -m pip install tensorflow==2.10 scikit-learn==1.6.1 numpy=1.24.4
	#https://github.com/bigbeartechworld/big-bear-casaos/tree/master/Apps/pterodactyl-panel

	bash -c "$(wget -qLO - https://raw.githubusercontent.com/bigbeartechworld/big-bear-scripts/master/start-pterodactyl-panel/run.sh)"
	#conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia.

	import torch

	device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')

	# Assuming that we are on a CUDA machine, this should print a CUDA device:

	print(device)