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46 followers · 17 following

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Achievement: Pull Sharkx2Achievement: StarstruckAchievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx2Achievement: StarstruckAchievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Organizations

@compMathUPRH
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jordancaraballo/README.md

Jordan A. Caraballo-Vega

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I am a Computer Engineer with the Science Data Processing branch and the Computational and Information Sciences and Technology Office (CISTO) Data Science Group at the NASA Goddard Space Flight Center. My research focuses on the development of software to support science research in the areas of Earth observation, artificial intelligence, and high-performance computing. My main interest is to shorten the gap between Earth science and artificial intelligence by means of hardware accelerated software applications, which include the development of GPU-backed data structures to support satellite data formats, deep learning applications to streamline annotation processes, and the portability of software to support open science initiatives via cloud and on-premises environments.

Software Organizations I Support:

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  1. nga-deep-learning nga-deep-learning Public

    NGA Deep Learning

    Jupyter Notebook 27 4

  2. NASAARSET/ARSET_ML_Fundamentals NASAARSET/ARSET_ML_Fundamentals Public

    Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

    Jupyter Notebook 186 125

  3. nasa-nccs-hpda/senegal-lcluc-tensorflow nasa-nccs-hpda/senegal-lcluc-tensorflow Public

    Senegal LCLUC TensorFlow

    Jupyter Notebook 5

  4. nasa-nccs-hpda/tensorflow-caney nasa-nccs-hpda/tensorflow-caney Public

    Python framework for lots of geospatial TensorFlow tools

    Python 4

  5. nasa-nccs-hpda/pytorch-caney nasa-nccs-hpda/pytorch-caney Public

    Pytorch package with lots of tools for geospatial deep learning

    Python 7 1

  6. FiRE-HNL/alaska-wildfire-occurrence FiRE-HNL/alaska-wildfire-occurrence Public template

    Wildfire occurrence modeling using Terrestrial Ecosystem Models and Artificial Intelligence

    Jupyter Notebook