Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
☆62Jan 8, 2021Updated 5 years ago
Alternatives and similar repositories for dominant-balance
Users that are interested in dominant-balance are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Jan 29, 2025Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Feb 24, 2022Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆29Aug 8, 2018Updated 7 years ago
- reinforcement learning for active fluid control☆36Sep 25, 2020Updated 5 years ago
- ☆29Jun 7, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆26Jun 16, 2018Updated 7 years ago
- Solving ODE by artificial neural networks☆22Oct 13, 2018Updated 7 years ago
- High‑performance multiphysics CFD framework for turbulent reacting multiphase flows from low to high Mach number☆18May 21, 2026Updated 3 weeks ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆34Oct 30, 2023Updated 2 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆65May 10, 2020Updated 6 years ago
- Collection of tutorials for OpenSMOKE++ solvers☆23Jan 7, 2026Updated 5 months ago
- ☆20Apr 19, 2026Updated last month
- ☆11Mar 31, 2021Updated 5 years ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆40Dec 28, 2018Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for "Learning differential equation models from\\ stochastic agent-based model simulations" by John Nardini, Ruth Baker, Mat Simpson…☆14Sep 7, 2022Updated 3 years ago
- ☆44Feb 1, 2018Updated 8 years ago
- Parallelizing DRL for Active Flow control☆72Jul 27, 2023Updated 2 years ago
- ☆30Mar 18, 2020Updated 6 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆82Apr 30, 2026Updated last month
- ☆74Aug 31, 2020Updated 5 years ago
- Basilisk simulations related to my PhD☆20Mar 4, 2020Updated 6 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Jan 30, 2020Updated 6 years ago
- Learning unknown ODE models with Gaussian processes☆27Jul 30, 2018Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆168Aug 3, 2021Updated 4 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆37Feb 14, 2026Updated 4 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆71May 26, 2020Updated 6 years ago
- A MATLAB package for double frame and time resolved Particle Tracking Velocimetry☆16Feb 11, 2020Updated 6 years ago
- The MegaFlow2D dataset package☆25Sep 21, 2023Updated 2 years ago
- Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB☆16Aug 15, 2022Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Jul 30, 2022Updated 3 years ago
- A pyTorch Extension for Applied Mathematics☆41Mar 17, 2020Updated 6 years ago
- Bayesian System IDentification☆28Jan 24, 2018Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆280Nov 4, 2022Updated 3 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆23Apr 7, 2023Updated 3 years ago
- Python implementation of Underdamped Langevin Inference, a method to infer the dynamical equation of underdamped stochastic systems from …☆17Jun 20, 2025Updated 11 months ago
- Hidden Fluid Mechanics☆368Jan 30, 2023Updated 3 years ago
- Scripts for optimization class☆10Mar 16, 2018Updated 8 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Jun 25, 2020Updated 5 years ago
- ☆13Aug 6, 2025Updated 10 months ago