Center for Informatics and Computational Science

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12 repositories

ar-pde-cnn
Public archive
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
deep-learning partial-differential-equations convolutional-neural-networks bayesian-surrogate physics-constrained physics-informed
Python
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MIT License
•30•87•0•0•Updated May 11, 2022May 11, 2022
gptorch
Public
Gaussian processes with PyTorch
Python
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MIT License
•8•30•0•0•Updated Nov 4, 2021Nov 4, 2021
CAAE-DRDCN-inverse
Public
Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems
Python
•7•8•1•0•Updated Mar 20, 2021Mar 20, 2021
rans-uncertainty
Public archive
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
deep-learning fluid-dynamics turbulence-models bayesian-surrogate stein-variational-gradient-decent rans
C++
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MIT License
•31•55•5•0•Updated Jan 11, 2021Jan 11, 2021
cnn-surrogate
Public
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
encoder-decoder bayesian-surrogate image-regression stein-variational-gradient-decent uncertainty-quantification
Python
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MIT License
•52•103•0•0•Updated Aug 4, 2020Aug 4, 2020
predictive-cvs
Public
Predictive collective variable discovery with deep Bayesian models for atomistic systems.
Python
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MIT License
•2•2•0•0•Updated Jan 28, 2020Jan 28, 2020
pde-surrogate
Public
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
generative-model energy-based-model porous-media-flow normalizing-flow physics-constrained reverse-kld
Python
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MIT License
•52•139•0•0•Updated Oct 18, 2019Oct 18, 2019
cnn-inversion
Public
Deep autoregressive neural networks for high-dimensional inverse problems
Python
•7•20•0•0•Updated May 7, 2019May 7, 2019
dcedn-gcs
Public
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multi-phase flow in heterogeneous random media
uncertainty-quantification time-dependent multi-phase-flows convolutional-encoder-decoder high-dim-surrogate regression-segmentation
Python
•8•13•0•0•Updated Apr 17, 2019Apr 17, 2019
structured-gpflow
Public
Gaussian process models with structured inputs based on GPflow
Python
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MIT License
•2•5•0•0•Updated Feb 5, 2019Feb 5, 2019
sgplvm-inverse
Public
Experiments using the structured Bayesian Gaussian process latent variable model for inverse problems
Python
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MIT License
•5•4•0•0•Updated Feb 5, 2019Feb 5, 2019
sgp-experiments
Public
Experiments using the structured GP, GP-LVM, and warped GP.
MIT License
•0•1•0•0•Updated Aug 10, 2018Aug 10, 2018