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@nasa-nccs-hpda

High Performance Data Analytics

NASA GSFC Data Science Group

Introduction

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The NASA GSFC Data Science Group (606.3) (nasa-nccs-hpda) GitHub organization hosts a collection of open-source geospatial software and science projects. These projects are developed under the NASA GSFC Data Science Group by a community of geospatial software developers and researchers. Many of these projects are continuously being supported, while others have concluded as part of different grants.

Table of Contents

  1. Tutorials
  2. Operations and Tools
  3. Vegetation Structure
  4. Land Cover Classification

Tutorials

Operations and Tools

Deep Learning Tools

Vegetation Structure

Land Cover Classification

Popular repositories

  1. terragpu terragpu Public

    Python library to process and classify remote sensing imagery by means of GPUs and ML.

    Python 7 1

  2. pytorch-caney pytorch-caney Public

    Pytorch package with lots of tools for geospatial deep learning

    Python 7 1

  3. senegal-lcluc-tensorflow senegal-lcluc-tensorflow Public

    Senegal LCLUC TensorFlow

    Jupyter Notebook 5

  4. tensorflow-caney tensorflow-caney Public

    Python framework for lots of geospatial TensorFlow tools

    Python 4

  5. evhr evhr Public

    Enhanced Very-high Resolution (EVHR)

    Python 3

  6. super-resolution-etopo super-resolution-etopo Public

    Super Resolution experiments for generating high-res ocean bathymetry datasets

    2

Repositories

Showing 10 of 53 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

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