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  1. TopoBenchmark TopoBenchmark Public

    TopoBenchmark is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning

    Python 99 14

  2. neurometry neurometry Public

    Quantify geometric intelligence in natural and artificial brains.

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  4. pirounet pirounet Public

    Conditional dance generator

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  5. ece3 ece3 Public

    The lectures present concepts from linear algebra, such as matrix computations, systems of linear equations, eigenspace decomposition, inner-product, orthogonality, least-squares and linear regress…

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  6. ece278a ece278a Public

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  • herbrain Public
    geometric-intelligence/herbrain’s past year of commit activity
    Jupyter Notebook 2 MIT 1 1 1 Updated Dec 28, 2024
  • TopoBenchmark Public

    TopoBenchmark is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning

    geometric-intelligence/TopoBenchmark’s past year of commit activity
    Python 99 MIT 14 4 (1 issue needs help) 5 Updated Dec 26, 2024
  • geometric-intelligence/geometric-intelligence.github.io’s past year of commit activity
    Jupyter Notebook 2 1 0 0 Updated Dec 26, 2024
  • neurometry Public

    Quantify geometric intelligence in natural and artificial brains.

    geometric-intelligence/neurometry’s past year of commit activity
    Jupyter Notebook 48 MIT 7 1 2 Updated Nov 26, 2024
  • cellgeometry Public

    A web-based application for Cell Shape Analysis.

    geometric-intelligence/cellgeometry’s past year of commit activity
    Jupyter Notebook 2 MIT 0 0 0 Updated Jul 19, 2024
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    geometric-intelligence/my28brains’s past year of commit activity
    Jupyter Notebook 6 MIT 1 0 0 Updated Jun 21, 2024
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    geometric-intelligence/ece278a’s past year of commit activity
    Jupyter Notebook 14 MIT 33 0 0 Updated Jun 17, 2024
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    geometric-intelligence/ece594n’s past year of commit activity
    Jupyter Notebook 24 MIT 37 0 1 Updated Mar 15, 2024
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    Jupyter Notebook 0 1 0 0 Updated Jan 5, 2024
  • ece3 Public

    The lectures present concepts from linear algebra, such as matrix computations, systems of linear equations, eigenspace decomposition, inner-product, orthogonality, least-squares and linear regression. Students actively engage with the materials with an introduction to Python programming

    geometric-intelligence/ece3’s past year of commit activity
    Jupyter Notebook 16 MIT 35 0 0 Updated Dec 7, 2023

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