geo-smart Goto Github PK

2021-cloud-hackathon

2021 NASA Cloud Hackathon co-hosted by PODAAC, NSIDC and LPDAAC, with support provided by ASDC, GESDISC, IMPACT and NASA Openscapes.

2021-cloud-workshop-agu

NASA Openscapes AGU Workshop SCIWS31 - Enabling Analysis in the Cloud Using NASA Earth Science Data

2023-hackweek-website

GeoSmart Hackweek website 2023

administrative

scripts to manage hackweek admin and logistics

ai-for-physics-inspired-hydrology-modeling

ai-for-sea-ice-forecasting

autosai

AutoML for scientific AI research tasks

awesome-earth-artificial-intelligence

A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.

aws

simple lab terraform for cloud resources

crunchy-snow

Neural networks for Sentinel-1 SAR backscatter snow depth retrieval

cryocloudwebsite

CryoCloud JupyterBook

deepicedrainpipe

Machine Learning data pipeline and Jupyter Book for the DeepIceDrain project

earth_ai_book_materials

The repo contains the source code, notebooks, and technical resources that assist students to read the book Artificial Intelligence in Earth Science.

earthdata-cloud-cookbook

A tutorial book of workflows for research using NASA EarthData in the Cloud created by the NASA-Openscapes team

easyquake

Simplified machine-learning driven earthquake detection, location, and analysis.

ess490-590-spr21

Spring 2021 Data Science for Earth and Planetary Systems

fair-workflow-geoweaver-quick-start

This repo provides a Jupyter book walking through how to use Geoweaver to create and manage your AI workflows

flood-risk-ml

flood-risk-ml-tutorial

A machine learning tutorial demonstrating building classification for flood risk assessment

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

geo-smart.github.io

Organization website and blog for GeoSMART, dedicated to expanding the role of ML in the geosciences.

geosmart_ml_tutorial

Snow-ML jupyter notebook

global_lstm_swe_modeling

graphcast

gstatsim

Geostatistical functions for interpolating and simulating geospatial phenomena

gstatsim_geoweaver_demo

Demonstration workflow of GStatSIM use case

machine-learning

Apply machine learning to PO.DAAC and Earthdata for science and applications

metloom

Location Oriented Observed Meteorology

mlgeo-book

Student version of the GeoSMART curriculum book for ESS 469/569 with exercises left blank

multi-gpr-soil