NASA High Performance Data Analytics's repositories
spectraclass
Jupyterlab workbench supporting visual exploration and classification of high dimensional sensor data.
hyperclass
Methods for hyperspectral image classification developed by the NASA Goddard Innovation Lab
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.
ilab-earth-engine
Google Earth Engine Operations for NCCS ILAB
stratus_endpoint
Base classes for creating service endpoints for the Stratus Framework
ace
AI2 Climate Emulator Fork
astrolab
Jupyterlab workbench supporting visual exploration and classification of astronomical xray and light curve data.
astrolab2
Jupyterlab workbench supporting visual exploration and classification of astronomical xray and light curve data.
astrolab2-devel
Jupyterlab workbench supporting visual exploration and classification of astronomical xray and light curve data.
climate-gnn
GNN (Graph Neural Network) based framework for climate simulation, modeled after GraphCast.
collections-intake
A climate data collections framework built on the ingest-xarray & STAC packages.
eis_smce
Application and utilities to support the NASA Earth Information System
FMGraphcast
Integration of GraphCast into the NASA Foundation Model Framework.
FoundationModelBase
Framework for feeding data from various sources to FoundationModel/DigitalTwin training and inference processes.
geoProc
Geoprocessing roputines for Earth Science Applications
graphcast
Copy of the graphcast model by DeepMind with custom extensions.
ilab-eis-notebooks
Scientific Notebooks for the EIS project.
jl3viz
Exploratory visualization notebooks with Jupyterlab 3
jupyter-ilab
Jupyterlab Tools and Wdigets developed for the NASA-NCCS Innovation Lab
jupyterlab_development
A cookiecutter template for creating a custom Jupyter widget project.
K3D-jupyter
K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
pc2
Process Controller using Celery
pc2-module
Wrappers for integrating compute modules into PC2
soundscape
Platform for experimentation with Machine Learning methods using audio data
workflow_managers
Experimental project for exploring various workflow managers