NASA High Performance Data Analytics (@nasa-nccs-cds)
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nasa-nccs-cds

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Top repositories

1

edask

Earth data analytics using the Dask / XArray toolkit.
Python
6
star
2

cliMLe

Machine Learning development for climate applications
Python
5
star
3

CDAS2

Climate Data Analytic Service provider built on scala, Spark, Akka, Haddop, and python tools such as UVCDAT, etc. Designed to be deployed with the nasa-nccs-cds/CDWPS framework.
Scala
5
star
4

spectraclass

Jupyterlab workbench supporting visual exploration and classification of high dimensional sensor data.
Jupyter Notebook
4
star
5

hyperclass

Methods for hyperspectral image classification developed by the NASA Goddard Innovation Lab
Python
3
star
6

cdas

JavaScript
2
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7

CDS-Legacy

Obsolete code archive.
Scala
2
star
8

bathyml

Test machine learning algorithms on a bathymetry mapping problem.
Python
1
star
9

CDWPS

WPS implementation built on scala/play, designed to interface to big data frameworks such as Spark, Akka, etc. Implements the ESGF-CWT climate data services api.
Scala
1
star
10

ilab-earth-engine

Google Earth Engine Operations for NCCS ILAB
Python
1
star
11

stratus_endpoint

Base classes for creating service endpoints for the Stratus Framework
Python
1
star
12

stratus

Synchronization Technology Relating Analytic Transparently Unified Services: Integrative framework presenting a unified API and workflow orchestration for varied climate data analytic services.
Python
1
star
13

floodmap

This project computes surface water extents from lake shapefile boundary maps. It uses the NRT Global Flood Mapping products produced from the LANCE-MODIS data processing system at NASA Goddard to compute the probability of water in each spatial cell within each shapefile boundary map. It then thresholds this probability to produce water mask files.
Python
1
star