Alternatives and similar repositories for as-data-sets

Users that are interested in as-data-sets are comparing it to the libraries listed below

• operator-inference / opinf
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆79Updated 3 weeks ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆76Updated 5 years ago
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆149Updated 5 years ago
• pehersto / mfmc
  Multi Fidelity Monte Carlo
  ☆24Updated 5 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 5 years ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆118Updated 6 years ago
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆86Updated last year
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆71Updated 9 years ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆163Updated last year
• snagcliffs / PDE-FIND
  ☆274Updated 3 years ago
• wedeling / EasySurrogate
  The VECMA toolkit for creating surrogate models of multiscale systems.
  ☆20Updated last year
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆24Updated 4 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆52Updated 4 years ago
• ContiPaolo / MultiFidelity_POD
  Multi-fidelity reduced-order surrogate modeling
  ☆31Updated 7 months ago
• elizqian / mfgsa
  multifidelity global sensitivity analysis
  ☆18Updated 3 years ago
• MariusZeinhofer / Natural-Gradient-PINNs-ICML23
  This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…
  ☆28Updated last year
• hippylib / hippyflow
  Dimension reduced surrogate construction for parametric PDE maps
  ☆39Updated 5 months ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆50Updated 5 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆63Updated 6 years ago
• Crunch-UQ4MI / neuraluq
  ☆200Updated 10 months ago
• akaptano / POD-Galerkin_MHD
  This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…
  ☆23Updated 4 years ago
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆56Updated 2 years ago
• raj-brown / APMA2070
  ☆49Updated 2 years ago
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆117Updated 3 years ago
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆42Updated last year
• b03901165Shih / 2D_FPE_Solver
  Two Dimensional Fokker-Planck Solver using Matlab
  ☆19Updated 6 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆42Updated 5 years ago
• UCL-CCS / EasyVVUQ
  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
  ☆100Updated 3 weeks ago
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆49Updated 8 years ago