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@MagePsycho
MagePsycho / mysql-create-db-user.sh
Last active January 8, 2025 00:09
Bash Script: Create MySQL Database & User - https://blog.magepsycho.com/
#!/bin/bash
#
# Script to create MySQL db + user
#
# @author Raj KB <[email protected]>
# @website http://www.magepsycho.com
# @version 0.1.0
################################################################################
@kocisov
kocisov / next_nginx.md
Last active February 3, 2025 07:27
How to setup next.js app on nginx with letsencrypt
@karpathy
karpathy / nes.py
Last active January 15, 2025 02:40
Natural Evolution Strategies (NES) toy example that optimizes a quadratic function
"""
A bare bones examples of optimizing a black-box function (f) using
Natural Evolution Strategies (NES), where the parameter distribution is a
gaussian of fixed standard deviation.
"""
import numpy as np
np.random.seed(0)
# the function we want to optimize
@jamesmacwhite
jamesmacwhite / ffmpeg_mkv_mp4_conversion.md
Last active May 17, 2025 08:32
Easy way to convert MKV to MP4 with ffmpeg

Converting mkv to mp4 with ffmpeg

Essentially just copy the existing video and audio stream as is into a new container, no funny business!

The easiest way to "convert" MKV to MP4, is to copy the existing video and audio streams and place them into a new container. This avoids any encoding task and hence no quality will be lost, it is also a fairly quick process and requires very little CPU power. The main factor is disk read/write speed.

With ffmpeg this can be achieved with -c copy. Older examples may use -vcodec copy -acodec copy which does the same thing.

These examples assume ffmpeg is in your PATH. If not just substitute with the full path to your ffmpeg binary.

Single file conversion example

@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym
# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward
@gbaman
gbaman / HowToOTGFast.md
Last active April 30, 2025 02:59
Simple guide for setting up OTG modes on the Raspberry Pi Zero, the fast way!

Setting up Pi Zero OTG - The quick way (No USB keyboard, mouse, HDMI monitor needed)

More details - http://blog.gbaman.info/?p=791

For this method, alongside your Pi Zero, MicroUSB cable and MicroSD card, only an additional computer is required, which can be running Windows (with Bonjour, iTunes or Quicktime installed), Mac OS or Linux (with Avahi Daemon installed, for example Ubuntu has it built in).
1. Flash Raspbian Jessie full or Raspbian Jessie Lite onto the SD card.
2. Once Raspbian is flashed, open up the boot partition (in Windows Explorer, Finder etc) and add to the bottom of the config.txt file dtoverlay=dwc2 on a new line, then save the file.
3. If using a recent release of Jessie (Dec 2016 onwards), then create a new file simply called ssh in the SD card as well. By default SSH i

@zlorb
zlorb / linux_fun.md
Last active February 14, 2025 00:33 — forked from marianposaceanu/linux_fun.md
How to have some fun using the terminal.

Linux fun-o-matic

How to have some fun using the terminal.

  1. Install cowsay [0] via : sudo apt-get install cowsay
  2. Install fortune [1] via : sudo apt-get install fortune
  3. Install figlet [3] via : sudo apt-get install figlet
  4. Make sure you have Ruby installed via : ruby -v
  5. Install the lolcat [2] via : gem gem install lolcat
  6. (option) Add to .bash_profile and/or .bashrc
diamonds <- ggplot2::diamonds
pryr::object_size(diamonds)
#> 3.46 MB

diamonds2 <- transform(diamonds, price_per_carat = price / carat)
pryr::object_size(diamonds2)
#> 3.89 MB

# Size of both data frames combined
@mortenpi
mortenpi / range.cc
Created August 28, 2015 18:35
Function to create a vector of evenly spaced numbers in C++.
// Create a vector of evenly spaced numbers.
vector<double> range(double min, double max, size_t N) {
vector<double> range;
double delta = (max-min)/double(N-1);
for(int i=0; i<N; i++) {
range.push_back(min + i*delta);
}
return range;
}
@graphific
graphific / 3_install_deeplearning_libs.sh
Last active August 20, 2023 13:31
Installation script for Deep Learning Libraries on Ubuntu 14.04
#!/usr/bin/env bash
# Installation script for Deep Learning Libraries on Ubuntu 14.04, by Roelof Pieters (@graphific)
# BSD License
orig_executor="$(whoami)"
if [ "$(whoami)" == "root" ]; then
echo "running as root, please run as user you want to have stuff installed as"
exit 1
fi
###################################