AdrianoPereira

goes16-acquisition

Geostationary satellite data acquisition service goes 16

qrnn

Testing Quantile Neural Networks in meteorological data

sthunder

Self-Organizing Maps applied for thunderstorm analysis.

cap421homework0203

This repository contains the code for homework 1 and 2 of the discipline of deep learning developed by students Adriano Almeida, Fernando Ramacciotti and Vanessa Paspaltzis.

covid-19-brazil

Data analysis applied to the COVID-19 dataset in Brazil

goamazondownloader

Library to download files of Go Amazon Campaign

handsoncnn2lc

Hands on created as a complementary material to the presentation of the convolutional neural network applied to the classification of land cover.

lightning-rtree

R-tree for optimized lightning georeferencing

playground

Code in "free time"

py4goes

Explority GOES 16 Data Analysis

sunowallpaper

Program to set wallpaper with the current image of the sun

x-ray-lightning

X-Ray lightning analysis.

AdrianoPereira

About me

adrianopereira.github.io

Personal Site

atto-dashboard

Awesome-Profile-README-templates

A collection of awesome readme templates to display on your profile

beecrowd-christmas-contest-2021

Christmas Contest 2021 powered beecrowd

CAP-359

CAP359 - Principles and Applications of Data Mining

CAP421

Codes developed for the CAP421 - Deep Learning discipline of the Post Graduate Program in Applied Computing at INPE

card-game-stats

Statitistics of matches card games

clima-anom

Create climatology and obtain a correlation

goamazon

Utilities to download, read, pre-process and plotting information from the GoAmazon Campaign

introducao-ao-machine-learning

Introdução ao Machine Learning

PrecipitationMesurments

republic406

Republic management Web App

sasscalweathernet-crawler

Bot for download data meteorological data from West Coast of the African Continent powered by SASSCAL WetherNet.

sherlockcups

teamcodedevs.github.io

Team Code site

transfer-learning-cnn

Transfer learning using the Convolutional Neural Network

wcama2020

Attachments to the paper published on WCAMA 2020