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    26 repositories

    • advanced-scientific-machine-learning

      Public
      ME 697 - Advanced Scientific Machine Learning
      Jupyter Notebook
      •
      GNU General Public License v3.0
      •10•25•1•0•Updated Feb 3, 2026Feb 3, 2026

    • data-analytics-se

      Public
      ME 539 - Introduction to Scientific Machine Learning
      Jupyter Notebook
      •
      GNU General Public License v3.0
      •93•124•1•2•Updated Jan 18, 2026Jan 18, 2026

    • dax

      Public
      Dynamical systems, filtering, smoothing, and identification in Jax
      Python
      •
      MIT License
      •0•0•0•0•Updated Sep 11, 2025Sep 11, 2025

    • www2

      Public
      Predictive Science Laboratory - Website v2.0
      HTML
      •
      MIT License
      •0•0•0•0•Updated Mar 16, 2025Mar 16, 2025

    • py-design

      Public
      Design of random experiments in Python
      Fortran
      •
      GNU Lesser General Public License v2.1
      •7•26•4•0•Updated Feb 12, 2025Feb 12, 2025

    • jaxpi

      Public
      Forked version of jaxpi to be used in ME 697.
      Python
      •
      Apache License 2.0
      •99•0•0•0•Updated Feb 2, 2024Feb 2, 2024

    • pift-paper-2023

      Public
      Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation
      uncertainty-quantificationinverse-problemsphysics-informedinformation-field-theorymodel-form-uncertainty
      C++
      •
      GNU General Public License v3.0
      •1•12•1•0•Updated Jan 24, 2024Jan 24, 2024

    • orthojax

      Public
      Orthogonal polynomials (polynomial chaos) in Jax.
      Python
      •
      MIT License
      •2•4•0•0•Updated Jan 22, 2024Jan 22, 2024

    • paper-2023-inverse-map-karumuri

      Public
      Code for the inverse map paper
      2•5•0•0•Updated Jan 16, 2024Jan 16, 2024

    • paper-2023-strength-karumuri

      Public
      Jupyter Notebook
      •1•1•0•0•Updated Jan 16, 2024Jan 16, 2024

    • www

      Public
      TeX
      •
      MIT License
      •0•0•0•0•Updated Jun 28, 2023Jun 28, 2023

    • uq-course

      Public
      Introduction to Uncertainty Quantification
      Jupyter Notebook
      •
      MIT License
      •109•258•1•0•Updated Mar 30, 2022Mar 30, 2022

    • variational-elliptic-SPDE

      Public
      Jupyter Notebook
      •
      MIT License
      •4•13•0•0•Updated Nov 20, 2019Nov 20, 2019

    • py-orthpol

      Public
      Construct orhogonal polynomials using Python
      Fortran
      •
      GNU Lesser General Public License v2.1
      •19•23•5•2•Updated Oct 16, 2019Oct 16, 2019

    • pysmc

      Public
      Sequential Monte Carlo working on top of pymc
      Python
      •
      GNU Lesser General Public License v3.0
      •9•49•1•0•Updated Feb 21, 2019Feb 21, 2019

    • py-aspgp

      Public
      Python
      •2•5•0•0•Updated Oct 31, 2016Oct 31, 2016

    • pyipopt

      Public
      A Python connector to IPOPT
      C
      •73•2•0•0•Updated May 3, 2016May 3, 2016

    • pslab

      Public
      Documentation on the labs codes
      0•1•0•0•Updated Feb 29, 2016Feb 29, 2016

    • caffe

      Public
      Caffe: a fast open framework for deep learning.
      C++
      •
      Other
      •19k•0•0•0•Updated Feb 22, 2016Feb 22, 2016

    • py-bgo

      Public
      An implementation Bayesian global optimization in Python
      Python
      •
      MIT License
      •1•10•0•0•Updated Feb 14, 2016Feb 14, 2016

    • GPy

      Public
      Gaussian processes framework in python
      Python
      •
      BSD 3-Clause "New" or "Revised" License
      •569•3•0•0•Updated Jan 22, 2016Jan 22, 2016

    • OrthogonalPolynomials.jl

      Public
      Orthogonal polynomials with respect to arbitrary probability densities for Julia
      Julia
      •
      Other
      •0•1•0•0•Updated Sep 12, 2015Sep 12, 2015

    • cluster-opt-bgo

      Public
      Bayesian Global Optimization for Minimum Energy Cluster Identification
      Python
      •
      MIT License
      •2•7•0•0•Updated Jul 20, 2015Jul 20, 2015

    • inverse-bgo

      Public
      Use Bayesian Global Optimization to solve inverse problems
      Python
      •
      MIT License
      •4•13•0•0•Updated Jul 20, 2015Jul 20, 2015

    • pymc

      Public
      PyMC: Bayesian Stochastic Modelling in Python
      Fortran
      •
      Academic Free License v3.0
      •225•2•0•0•Updated Jul 15, 2015Jul 15, 2015

    • py-mcmc

      Public
      A simple MCMC framework for training Gaussian processes adding functionality to GPy.
      Python
      •
      GNU Lesser General Public License v3.0
      •6•20•0•0•Updated Dec 4, 2014Dec 4, 2014