Discover @DonAurelio Open Source projects

Aurelio Vivas (@DonAurelio)

DonAurelio

Stars
36
Global Rank 430,311 (Top 15 %)
Followers 35
Following 41
Registered almost 10 years ago
Most used languages

Jupyter Notebook
17.6 %

JavaScript
11.8 %

C
11.8 %

Python
11.8 %

Racket
11.8 %

HTML
11.8 %

C++
11.8 %

Dockerfile
5.9 %

Shell
5.9 %
Location 🇨🇴 Colombia
Country Total Rank 708
Country Ranking

Racket
5

Jupyter Notebook
51

Dockerfile
82

Shell
198

C++
214

C
235

HTML
595

JavaScript
1,057

Python
1,095

geopython-2021

Jupyter Notebook

coder

the base for a web-based parallel programming environment build over a microservice approach

open-datacube-workshop

This repository comprise a gentle getting started with the Open Datacube for Geoscience

Jupyter Notebook

oz-interpreter

A Mini Oz/mozart interpreter in Scheme (aka Racket)

text-analyzer

This projects is dedicated to an University Assignment about Natural Language Processing With Freeling and Python

manuals

Useful installation steps for some complicated tools

SIGIA

Es una aplicación WEB desarrollada en Django como proyecto final de Desarrollo de Software. La cual permite manejar inventario de vehículos y repuestos, así como ordenes de reparación de vehículos y compra de los mismos

datacube-tutorial

Jupyter Notebook

pragcc

A Source to Source Parallelizing Compiler initiative

cellular-automatas

A little collection of cellular automatas for scientific purposes

ia-search-algorithms

Brief application about search algoritms, Uniform cots , A*

console-tic-tac-toe

graphic-tic-tac-toe

It is a Qt 5 implementation using .ui files of the popular game TIC TAC TOE

battle-city-thinking-tank

The popular PolyStation game called Batle City developed in Scheme (aka Racket)

map-pixel-classifier

An web application to deploy machine learning models to classify land cover on satellite images

singularity-recipes

dockerfiles

A bunch of dockerfiles with some scientific applications

examples

This repository is aimed to keep configurations files related to how to deploy computational infraestructures for parallel scientific application and organization purposes