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@dehsilvadeveloper
dehsilvadeveloper / 0_prerequisites.md
Last active November 4, 2025 08:25
Installing Docker on WSL 2 with Ubuntu 22.04

Installing Docker on WSL 2 with Ubuntu 22.04

Instalando Docker em um WSL 2 com Ubuntu 22.04

Prerequisites

Before start the installation process, make sure you meet the following prerequisites:

  • A Windows 10 operating system with WSL 2 support.
  • WSL 2 enabled.
  • Ubuntu 22.04 installed on WSL 2.
@adeekshith
adeekshith / .git-commit-template.txt
Last active September 19, 2025 10:32 — forked from Linell/.git-commit-template.txt
This commit message template helps you write great commit messages and enforce it across teams.
# <type>: (If applied, this commit will...) <subject> (Max 50 char)
# |<---- Using a Maximum Of 50 Characters ---->|
# Explain why this change is being made
# |<---- Try To Limit Each Line to a Maximum Of 72 Characters ---->|
# Provide links or keys to any relevant tickets, articles or other resources
# Example: Github issue #23
@karpathy
karpathy / min-char-rnn.py
Last active October 23, 2025 16:55
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
@sixtenbe
sixtenbe / analytic_wfm.py
Last active October 22, 2025 04:06 — forked from endolith/peakdet.m
Peak detection in Python
#!/usr/bin/python2
# Copyright (C) 2016 Sixten Bergman
# License WTFPL
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law.
# You can redistribute it and/or modify it under the terms of the Do What The
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See
@endolith
endolith / peakdet.m
Last active October 29, 2025 04:55
Peak detection in Python [Eli Billauer]
function [maxtab, mintab]=peakdet(v, delta, x)
%PEAKDET Detect peaks in a vector
% [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
% maxima and minima ("peaks") in the vector V.
% MAXTAB and MINTAB consists of two columns. Column 1
% contains indices in V, and column 2 the found values.
%
% With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
% in MAXTAB and MINTAB are replaced with the corresponding
% X-values.