Marciano Saraiva (@saraivaufc)
github

saraivaufc

Twitter logo Share LinkedIn logo Share Facebook logo Share

Top repositories

1

bigdata-docker

Run Hadoop Cluster within Docker Containers.
Shell
16
star
2

instance-segmentation-maskrcnn

Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Network
Jupyter Notebook
10
star
3

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

Biweekly mapping of land use and land cover using MODIS time series (MOD13Q1) and LSTM Neural Networks.
Jupyter Notebook
6
star
4

super-resolution-using-gans

Super-Resolution of Sentinel-2 Using Generative Adversarial Networks
Jupyter Notebook
6
star
5

captcha-recognition

Recognize captcha using convolutional neural networks
Python
3
star
6

mapreduce

Parallel satellite image processing using MapReduce Algorithm
Python
3
star
7

DesenhoTerminal

C
1
star
8

postgis-docker

Dockerfile
1
star
9

FFTF

Transformada de Fourier em Python
Python
1
star
10

TCC-Inteligencia-Artificial

Jupyter Notebook
1
star
11

sentiment-analysis-lstm

Sentiment Classification with Natural Language Processing on Recurrent Neural Networks
Python
1
star
12

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.
Python
1
star