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@cics-nd

Center for Informatics and Computational Science

Pinned

  1. pde-surrogate pde-surrogate Public

    Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

    Python 120 49

  2. cnn-surrogate cnn-surrogate Public

    Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

    Python 99 52

  3. ar-pde-cnn ar-pde-cnn Public archive

    Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

    Python 82 30

  4. rans-uncertainty rans-uncertainty Public archive

    Uncertainty Quantification of RANS Data-Driven Turbulence Modeling

    C++ 53 30

  5. gptorch gptorch Public

    Gaussian processes with PyTorch

    Python 30 8

Repositories

Showing 10 of 12 repositories
  • ar-pde-cnn Public archive

    Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

    Python 82 MIT 30 0 0 Updated May 11, 2022
  • gptorch Public

    Gaussian processes with PyTorch

    Python 30 MIT 8 0 0 Updated Nov 4, 2021
  • CAAE-DRDCN-inverse Public

    Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems

    Python 6 7 1 0 Updated Mar 20, 2021
  • rans-uncertainty Public archive

    Uncertainty Quantification of RANS Data-Driven Turbulence Modeling

    C++ 53 MIT 30 5 0 Updated Jan 11, 2021
  • cnn-surrogate Public

    Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

    Python 99 MIT 52 0 0 Updated Aug 4, 2020
  • predictive-cvs Public

    Predictive collective variable discovery with deep Bayesian models for atomistic systems.

    Python 2 MIT 2 0 0 Updated Jan 28, 2020
  • pde-surrogate Public

    Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

    Python 120 MIT 49 0 0 Updated Oct 18, 2019
  • cnn-inversion Public

    Deep autoregressive neural networks for high-dimensional inverse problems

    Python 20 7 0 0 Updated May 7, 2019
  • dcedn-gcs Public

    Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multi-phase flow in heterogeneous random media

    Python 13 8 0 0 Updated Apr 17, 2019
  • structured-gpflow Public

    Gaussian process models with structured inputs based on GPflow

    Python 5 MIT 2 0 0 Updated Feb 5, 2019
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