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@hippylib @aerolearn @Oden-CCGO

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tomoleary/README.md

Hi there 👋

I work on software projects for scientific machine learning, inverse problems, optimization, and so-called "outer-loop" problems constrained by parametric partial differential equations (PDEs).

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  1. hippylib/hippyflow hippylib/hippyflow Public

    Dimension reduced surrogate construction for parametric PDE maps

    Python 37 6

  2. dino dino Public

    Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

    Python 17 1

  3. hippylib/hippylib hippylib/hippylib Public

    An Extensible Software Framework for Large-Scale Inverse Problems

    Python 138 42

  4. hessianaveraging hessianaveraging Public

    Implementation of Hessian-averaged Newton methods for stochastic optimization in jax

    Python 3

  5. hippylib/soupy hippylib/soupy Public

    Stochastic Optimization under Uncertainty in Python.

    Jupyter Notebook 34 2

  6. hessianlearn hessianlearn Public

    Hessian-based stochastic optimization in TensorFlow and keras

    Python 28 3