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Showing 1 to 2 of 2 for “"Torchfire."”.

  1. From efficient high-order methods to scientific machine learning.

    … to multigrid algorithms. Lastly, we introduce Torchfire, a differentiable programming interface that combines PyTorch and Firedrake to perform model-constrained deep learning of solutions of parameterized PDEs and PDE-constrained inverse problems. It leverages PyTorch's high-level interface for …

    tdl Repository record for From efficient high-order methods to scientific machine learning. (opens in a new tab)

  2. From efficient high-order methods to scientific machine learning.

    … to multigrid algorithms. Lastly, we introduce Torchfire, a differentiable programming interface that combines PyTorch and Firedrake to perform model-constrained deep learning of solutions of parameterized PDEs and PDE-constrained inverse problems. It leverages PyTorch's high-level interface for …

    baylor Repository record for From efficient high-order methods to scientific machine learning. (opens in a new tab)