Alternatives and similar repositories for DataDrivenLinearization

Users that are interested in DataDrivenLinearization are comparing it to the libraries listed below

• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆56Updated 2 years ago
• haller-group / SSMLearn
  Data-driven reduced order modeling for nonlinear dynamical systems
  ☆97Updated last month
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆34Updated last year
• sebastkm / hybrid-fem-nn
  ☆32Updated 3 years ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆19Updated 3 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆39Updated 3 years ago
• UW-ERSL / AuTO
  ☆35Updated 2 years ago
• LLNL / DD-NM-ROM
  ☆16Updated last year
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆60Updated 4 years ago
• stefaniafresca / DL-ROM
  Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
  ☆15Updated 2 years ago
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆35Updated 5 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• GaoyuanWu / JaxSSO
  A differentiable finite element analysis solver for structural optimization based on JAX
  ☆37Updated last month
• lu-group / multifidelity-deeponet
  Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…
  ☆37Updated 2 years ago
• merantix-momentum / gnn-bvp-solver
  Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"
  ☆19Updated last year
• CMSL-HKUST / AmorFEA
  ☆13Updated 4 years ago
• jain-shobhit / SSMTool
  Computation of invariant manifolds in high-dimensional mechanics problems
  ☆29Updated last year
• 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…
  ☆26Updated last year
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated last month
• FrancescoRegazzoni / LDNets
  ☆62Updated last year
• cselab / LED
  ☆21Updated 3 years ago
• quercushernandez / StructurePreservingNN
  Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).
  ☆19Updated 2 years ago
• FuhgJan / StateOfTheArtAdaptiveSampling
  ☆48Updated 4 years ago
• loiseaujc / SINDy
  ☆42Updated 7 years ago
• sblauth / cashocs
  computational adjoint-based shape optimization and optimal control software for python
  ☆60Updated last week
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 3 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆59Updated 3 years ago
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆82Updated 2 years ago