Alternatives and similar repositories for data-analytics-se

Users that are interested in data-analytics-se are comparing it to the libraries listed below

• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆146Updated 5 years ago
• janblechschmidt / PDEsByNNs
  This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…
  ☆176Updated 4 years ago
• Crunch-UQ4MI / neuraluq
  ☆187Updated 4 months ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 6 years ago
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆323Updated last week
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆73Updated last month
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• snagcliffs / PDE-FIND
  ☆257Updated 2 years ago
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆117Updated last year
• wedeling / EasySurrogate
  The VECMA toolkit for creating surrogate models of multiscale systems.
  ☆19Updated 7 months ago
• mroberto166 / CAMLab-DLSCTutorials
  ☆204Updated last year
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 4 years ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆157Updated last year
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆102Updated 5 months ago
• mathLab / EZyRB
  Easy Reduced Basis method
  ☆86Updated last month
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆82Updated 8 months ago
• tum-pbs / Physics-Based-Deep-Learning
  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
  ☆58Updated 4 years ago
• pehersto / mfmc
  Multi Fidelity Monte Carlo
  ☆24Updated 5 years ago
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆57Updated 4 years ago
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆253Updated 3 years ago
• LivingMatterLab / xPINNs
  when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…
  ☆75Updated 3 years ago
• amir-cardiolab / Py4SciComp
  Python for Scientific Computing (FEniCS, PyTorch, VTK)
  ☆124Updated last year
• benmoseley / harmonic-oscillator-pinn-workshop
  Introductory workshop on PINNs using the harmonic oscillator
  ☆127Updated 4 months ago
• jbramburger / DataDrivenDynSyst
  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
  ☆135Updated 3 weeks ago
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆66Updated 8 years ago
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆80Updated 2 years ago
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆74Updated 5 years ago
• ContiPaolo / MultiFidelity_POD
  Multi-fidelity reduced-order surrogate modeling
  ☆24Updated 2 months ago
• sandialabs / pyapprox
  Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
  ☆65Updated last week
• PredictiveIntelligenceLab / UQPINNs
  ☆63Updated 6 years ago