baddoo / LANDOLinks
Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
☆29Updated 3 years ago
Alternatives and similar repositories for LANDO
Users that are interested in LANDO are comparing it to the libraries listed below
Sorting:
- mathLab mirror of Python Dynamic Mode Decomposition☆104Updated 6 months ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆38Updated last year
- ☆41Updated 7 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆158Updated last year
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- ☆191Updated 5 months ago
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆30Updated 4 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆152Updated 4 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆88Updated 3 months ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆19Updated 6 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆48Updated 8 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆74Updated 2 months ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- PySensors is a Python package for sparse sensor placement☆99Updated last month
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 3 years ago
- ☆42Updated 5 years ago
- A Python package to learn the Koopman operator.☆61Updated 10 months ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆62Updated 5 years ago
- Data-driven dynamical systems toolbox.☆75Updated last month
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆44Updated 2 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- ☆15Updated 5 years ago
- ☆21Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆75Updated 3 years ago