Alternatives and similar repositories for ATHENA

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

• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆30Updated 3 years ago
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆59Updated 4 years ago
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆49Updated 8 years ago
• mathLab / EZyRB
  Easy Reduced Basis method
  ☆88Updated last month
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆75Updated this week
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 5 years ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆160Updated last year
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 4 years ago
• pehersto / mfmc
  Multi Fidelity Monte Carlo
  ☆23Updated 5 years ago
• LLNL / LaSDI
  ☆54Updated 2 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆42Updated 5 years ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆147Updated 5 years ago
• RBniCS / RBniCS
  RBniCS - reduced order modelling in FEniCS (legacy)
  ☆112Updated 7 months 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
• 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…
  ☆21Updated 4 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆31Updated 3 years ago
• haozhg / odmd
  AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
  ☆44Updated 3 years ago
• xiaoyuxie-vico / PyDimension
  Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…
  ☆39Updated last month
• haller-group / SSMLearn
  Data-driven reduced order modeling for nonlinear dynamical systems
  ☆90Updated 4 months ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• sisl / deep_flow_control
  Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
  ☆49Updated 6 years ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆102Updated 4 years ago
• rmojgani / LPINNs
  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…
  ☆50Updated 2 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆52Updated 4 years ago
• AndreWeiner / flowtorch
  flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
  ☆158Updated 2 weeks ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated 2 years ago
• Jianxun-Wang / LabelFree-DNN-Surrogate
  Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
  ☆92Updated 2 years ago