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  1. macos_security macos_security Public

    macOS Security Compliance Project

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  2. OSCAL OSCAL Public

    Open Security Controls Assessment Language (OSCAL)

    XSLT 962 259

  3. fipy fipy Public

    FiPy is a Finite Volume PDE solver written in Python

    Python 643 185

  4. jarvis jarvis Public

    About JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ https://www.youtube.com/@dr_k_ch…

    Python 401 143

  5. 800-63-3 800-63-3 Public

    Home to public development of NIST Special Publication 800-63-3: Digital Authentication Guidelines

    CSS 724 120

  6. dioptra dioptra Public

    Test Software for the Characterization of AI Technologies

    Python 301 68

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  • rminstr-ipages Public

    Documentation hosted for Rocky Mountain Instruments (rminstr)

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    HTML 0 0 0 0 Updated Oct 18, 2026
  • metaschema Public

    Documentation for and implementations of the metaschema modeling language

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    Shell 50 28 191 17 Updated Oct 18, 2026
  • oscal-content Public

    NIST SP 800-53 content and other OSCAL content examples

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    XSLT 471 191 51 (1 issue needs help) 1 Updated Oct 18, 2026
  • OSCAL Public

    Open Security Controls Assessment Language (OSCAL)

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    XSLT 962 259 193 (4 issues need help) 12 Updated Oct 18, 2026
  • NEMO-online-training Public
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    Python 0 1 1 0 Updated Oct 17, 2026
  • iheos-toolkit2 Public

    XDS Toolkit

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    Java 52 31 270 9 Updated Oct 17, 2026
  • NEMO-sensors Public
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    JavaScript 1 2 0 0 Updated Oct 16, 2026
  • dioptra Public

    Test Software for the Characterization of AI Technologies

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    Python 301 68 145 25 Updated Oct 16, 2026
  • AusteniteCalculator Public

    Software and GUI for uncertainty quantification of austenite phase fraction

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    Jupyter Notebook 3 3 17 0 Updated Oct 16, 2026
  • Agentic-SI-in-AM Public

    Datasets for Agentic Super intelligence for Additive Manufacturing. This repository provides highly-curated data sets, meant to serve as golden datasets, for the evaluation, benchmarking, and training of models for additive manufacturing applications

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    HTML 1 0 0 0 Updated Oct 16, 2026
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