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bigdata-docker
Run Hadoop Cluster within Docker Containers.instance-segmentation-maskrcnn
Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Networkland-use-classification-using-encoder-decoder-lstm
Biweekly mapping of land use and land cover using MODIS time series (MOD13Q1) and LSTM Neural Networks.super-resolution-using-gans
Super-Resolution of Sentinel-2 Using Generative Adversarial Networkscaptcha-recognition
Recognize captcha using convolutional neural networksmapreduce
Parallel satellite image processing using MapReduce AlgorithmDesenhoTerminal
postgis-docker
FFTF
Transformada de Fourier em Pythonsentiment-analysis-lstm
Sentiment Classification with Natural Language Processing on Recurrent Neural Networksrios
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.Love Open Source and this site? Check out how you can help us