saraivaufc

bigdata-docker

Run Hadoop Cluster within Docker Containers.

captcha-recognition

Recognize captcha using convolutional neural networks

FFTF

Transformada de Fourier em Python

instance-segmentation-maskrcnn

Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Network

land-use-classification-using-encoder-decoder-lstm

Biweekly mapping of land use and land cover using MODIS time series (MOD13Q1) and LSTM Neural Networks.

mapbiomas

Algoritmos utilizados no mapeamento automático da Agricultura e Florestas Plantadas utilizados no projeto de Mapeamento Anual da Cobertura e Uso do Solo no Brasil (MapBiomas)

mapreduce

Parallel satellite image processing using MapReduce Algorithm

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

rios

Raster I/O Simplification. A set of python modules which makes it easy to write raster processing code in Python. Built on top of GDAL, it handles the details of opening and closing files, checking alignment of projection and raster grid, stepping through the raster in small blocks, etc., allowing the programmer to concentrate on the processing involved. RIOS was written for our own use, and comes without any warranty, or assurance that it might even be useful, but if anyone else is silly enough to want it, they are welcome to it. It is licensed under GPL 3, as given in the file LICENSE.txt. To download the code, click on the Downloads tab above, and select the latest tarball. To see a rudimentary user guide, click the Wiki tab above.

super-resolution-using-gans

Super-Resolution of Sentinel-2 Using Generative Adversarial Networks

saraivaufc/bigdata-docker

Run Hadoop Cluster within Docker Containers.

saraivaufc/instance-segmentation-maskrcnn

Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Network

saraivaufc/super-resolution-using-gans

Super-Resolution of Sentinel-2 Using Generative Adversarial Networks

saraivaufc/land-use-classification-using-encoder-decoder-lstm

Biweekly mapping of land use and land cover using MODIS time series (MOD13Q1) and LSTM Neural Networks.

saraivaufc/mapreduce

Parallel satellite image processing using MapReduce Algorithm

saraivaufc/captcha-recognition

Recognize captcha using convolutional neural networks

saraivaufc/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

saraivaufc/postgis-docker

saraivaufc/sentiment-analysis-lstm

Sentiment Classification with Natural Language Processing on Recurrent Neural Networks

saraivaufc/TCC-Inteligencia-Artificial

saraivaufc/dl-agriculture

NextGenMap - This project aims to establish the next generation of land use and land cover mapping and monitoring tools by leveraging Planet’s improved satellite imagery and Google Earth Engine’s computing platforms.

saraivaufc/apache-airflow

saraivaufc/build-encoded-pixels-from-raster-vector

saraivaufc/Desenhar-Coracao

saraivaufc/explore-gemma-llm

saraivaufc/gerenciador-clinica-medica-java

Sistema para gerência uma clínica médica.

saraivaufc/Jogo-Amor-e-Guerra-gfx

saraivaufc/jogo_cobrinha_dfx

Jogo da Cobrinha

saraivaufc/ListaDeCompras

saraivaufc/mapserver-docker

saraivaufc/Multiplicacao-Matrizes-Threads

saraivaufc/opendata-backend

saraivaufc/opengpt-backend

saraivaufc/planet_count

saraivaufc/Quick-Sort-Com-Threads

saraivaufc/search-engine

Search engine based on the vector space model

saraivaufc/TCC-Ciencia-de-Dados

saraivaufc/TremPOO

saraivaufc/watershed-segmentation

Implementation of Watershed segmentation in Python using GDAL and Scikit-image

saraivaufc/website

My personal website available at www.saraiva.dev