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
 - ☆30Updated 7 years ago
 - ☆11Updated 4 years ago
 - Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
 - Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆11Updated 2 years ago
 - ☆21Updated 2 years ago
 - ☆16Updated last year
 - Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆38Updated 3 years ago
 - Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
 - 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated 11 months ago
 - 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
 - Stochastic Physics-Informed Neural Ordinary Differential Equations☆18Updated 3 years ago
 - ☆11Updated 4 years ago
 - ☆14Updated 3 years ago
 - ☆41Updated 7 years ago
 - Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆35Updated 3 years ago
 - ☆18Updated 2 years ago
 - Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
 - ☆31Updated 6 months ago
 - Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Updated last year
 - Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆26Updated 7 years ago
 - Multi-fidelity Bayesian Optimization via Deep Neural Nets☆33Updated 4 years ago
 - Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
 - ☆30Updated 5 years ago
 - A collection of codes and references for deep learning in fluid dynamics☆19Updated 4 years ago
 - Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…☆31Updated last year
 - ☆10Updated 2 years ago
 - Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago
 - Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago