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2018-machinelearning-lectures-esa

Machine Learning Lectures at the European Space Agency (ESA) in 2018

airpassengers_timeseries

Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.

awesome-gee

A curated list of Google Earth Engine resources

crop-classification

crop classification using deep learning on satellite images

crop-type-detection-iclr-2020

Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020

crop-type-mapping

Crop type mapping of small holder farms in Ghana, and South Sudan

cropclassification

This is a collection of scripts that can help to classify crops using Sentinel data.

curso-gee

Google Earth Engine para el monitoreo del uso y cobertura del suelo de la República Argentina

curso_data_science

Código para el curso "Aprende Data Science y Machine Learning con Python"

curso_rgee

deeplearning-az

desafioagtech2020

desafiosagtech2020

Webinar

earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

experiments_with_python

experiments with python

farm-pin-crop-detection-challenge

8th place solution to Zindi's FarmPin Crop Detection Challenge

feature_engine

Feature engineering package with sklearn like functionality

gee_course_code

Materiales y script de Java utilizados en el curso introductorio de Google Earth Engine

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

google-earth-engine-python-examples

Various examples for Google Earth Engine in Python using Jupyter Notebook

hants

This repository is a python implementation of the Harmonic ANalysis of Time Series (HANTS) applied to geographic data. The python module can be used to perform the HANTS analysis to a collection of time-variable raster data at each pixel.

ingenieria-de-variables

landsat-classification-using-convolution-neural-network

Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08

landsat-classification-using-neural-network

All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.

landsat-sentinel-fusion

Complementarity Between Sentinel-1 and Landsat 8 Imagery for Built-Up Mapping in Sub-Saharan Africa

machine-learning

Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español

machinelearning-az

Repositorio del Curso de Machine Learning de la A a la Z con R y Python

maskdetection

El proyecto permite identificar en video si las personas llevan el tapabocas como medida sanitaria. Se usó el modelo keras-retinanet y se entreno una red neuronal profunda del tipo resnet50

masteruah

mlhub-tutorials

Tutorials to access Radiant MLHub Training Datasets