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UArizona DataLab Workshops
A repository with the data preparation and prioritzation code for the NatureMap analysis
Application to visualize and analyze World's population map
Code and files to go along with CS329s machine learning model deployment tutorial.
Machine learning to predict floods
Discover the ECMWF Code for Earth 2024 challenges
A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Make the Aqueduct 3.0 database available for download
Personal website, Data scientist portfolio template
A set of common color palettes for Google Earth Engine
A collection of 300+ Python examples for using Google Earth Engine in QGIS
Geoanalytics for climate and disaster risk screening
Random GDAL and OGR scripts to do useful stuff
A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems
Examples of analysis of CMIP6 data using xarray and dask
Automatic extraction of CHIRPS-GEFS rainfall forecast data using ClimateSERV
Climate downscaling using CMIP6 data
Ensemble selection for climate projection using Gurobi
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Techniques for deep learning with satellite & aerial imagery
Shared Nearest Neighbor Clustering Algorithm: Implementation and Evaluation
A multi-page streamlit app for geospatial
MODIS Terra Granule Level 2 - OPTICAL_DEPTH_LAND_AND_OCEAN analysis for Buckley Bay during the Summer 2017 Smoke period. DOY 208 to 217
Landsat-8 and Sentinel-2 LaSRC 2.0.1 FMASK 4.3
Deep Learning NLP Pipeline implemented on Tensorflow
Segment documents into coherent parts using word embeddings.