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ai4ess-hackathon-2020

ai4ess-hackathon-2020-notebooks

air-quality-and-health-challenge

Starter-pack for the AI4EO Air Quality and Health Challenge

awesome-open-climate-science

Awesome Open Atmospheric, Ocean, and Climate Science

awesome-python

A curated list of awesome Python frameworks, libraries and software.

burnman

BurnMan is a library for modeling mantle thermodynamics and thermoelasticity constrained by mineral physics experiments.

cmip6_cvs

Controlled Vocabularies (CVs) for use in CMIP6

cnn-sentinel

Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

cogent3

Comparative Genomics Toolkit 3

convnetquake

Convolutional Neural Network for Earthquake detection and location

cosima-cookbook

Ocean and sea-ice model analysis tools and examples.

cwsl-ctools

CWSLab Climate Toolkit

cwsl-mas

VisTrails plugin for Climate Model Analysis

cwsl-workflows

Vistrails/UV-CDAT Workflows for Climate Data Analysis

dask-tutorial-scipy-2018

Materials for "Parallelizing Scientific Python with Dask"

data-intensive-workshop-sep-2017

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-tutorials

Data Science Tutorials

datacube-k8s-eks

Deploy a production scale datacube cluster on AWS using EKS

dea-notebooks

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

dea-sandbox-notebooks

Jupyter Notebooks to be used with jupyterhub sandbox

deeplearn_hsi

Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR

eqtransformer

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

geophys_utils

A collection of utilities for discovering, accessing and using geophysics data via web services or from netCDF files

geoscience-data-quality-for-machine-learning

gsky

Distributed Scalable Geospatial Data Server

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hdmedians

High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.

introduction_to_xarray