wesg52 / sindy_mio_paperLinks
Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization
☆16Updated 3 years ago
Alternatives and similar repositories for sindy_mio_paper
Users that are interested in sindy_mio_paper are comparing it to the libraries listed below
Sorting:
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- ☆21Updated 3 years ago
- ☆30Updated 7 years ago
- ☆11Updated 4 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆38Updated 3 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- ☆42Updated 7 years ago
- ☆16Updated last year
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆19Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆44Updated 3 years ago
- ☆89Updated 2 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Updated 4 years ago
- A collection of codes and references for deep learning in fluid dynamics☆19Updated 4 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆56Updated 2 years ago
- ☆14Updated 3 years ago
- The public repository about our joint FINN research project☆36Updated 3 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Updated 2 years ago
- ☆11Updated 4 years ago
- ☆30Updated 5 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- ☆21Updated 5 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated last year
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆36Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- ☆19Updated 5 years ago
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- ☆31Updated 8 months ago