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Discovering how Data Science, Physical Science and How Human Creativity Intersect at Innovation
This guide will help you setup the Viewer, API and all its supporting websites.
Azure Quickstart Templates
Use Mapbox GL JS to visualize data in a Python Jupyter notebook
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
🌎 Simple and fast watershed delineation in python.
GeoTrellis is a geographic data processing engine for high performance applications.
Cheat sheet for GDAL/OGR command-line tools
The web application front end for Model My Watershed.
Rapid Watershed Delineation Code for MMW2
Renderers and renderer extensions for JupyterLab
Experimenting with predicting street flooding during the 2017 Subsurface Hackathon in Houston
An open source library and framework for deep learning on satellite and aerial imagery.
A complete tutorial on using own dataset to train a CNN from scratch in Keras (TF & Theano Backend)-
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
HydroShare is a collaborative website for better access to data and models in the hydrologic sciences.
Train a deep learning net with OpenStreetMap features and satellite imagery.
Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymyr Mnih's methods
NASA Remote Sensing for Flood Monitoring and Management
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…
A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.
The Automated Solution Generation System (ASGS) provides software infrastructure for automating coastal ocean modelling for real time decision support, and provides a variety of standalone command …
This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.