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Machine Learning Lectures at the European Space Agency (ESA) in 2018
Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.
A curated list of Google Earth Engine resources
crop classification using deep learning on satellite images
Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020
Crop type mapping of small holder farms in Ghana, and South Sudan
This is a collection of scripts that can help to classify crops using Sentinel data.
Google Earth Engine para el monitoreo del uso y cobertura del suelo de la República Argentina
Código para el curso "Aprende Data Science y Machine Learning con Python"
Webinar
Tutorials and content created by Earth Engine users, for Earth Engine users
experiments with python
8th place solution to Zindi's FarmPin Crop Detection Challenge
Feature engineering package with sklearn like functionality
Materiales y script de Java utilizados en el curso introductorio de Google Earth Engine
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets
Various examples for Google Earth Engine in Python using Jupyter Notebook
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.
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
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.
Complementarity Between Sentinel-1 and Landsat 8 Imagery for Built-Up Mapping in Sub-Saharan Africa
Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español
Repositorio del Curso de Machine Learning de la A a la Z con R y Python
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
Tutorials to access Radiant MLHub Training Datasets
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.