Plasmacaster / Optimized_SavGol
Self-optimizing nth order Savitzky-Golay filter
☆12Updated last year
Alternatives and similar repositories for Optimized_SavGol:
Users that are interested in Optimized_SavGol are comparing it to the libraries listed below
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model U…☆17Updated 2 years ago
- ☆24Updated 6 years ago
- ☆21Updated 4 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆19Updated 3 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆16Updated 2 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆42Updated 2 years ago
- ☆48Updated this week
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated last week
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆42Updated 6 years ago
- Python script solving the Burgers' equation (équation de Burgers) 1D by using FFT pseudo-spectral method.☆25Updated 3 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆16Updated 2 years ago
- This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operato…☆16Updated 3 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆46Updated 7 years ago
- sparse dynamic mode decomposition in python☆37Updated 9 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆35Updated last year
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- ☆18Updated 4 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- ☆22Updated 7 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- Bayesian optimized physics-informed neural network for parameter estimation☆25Updated 4 months ago
- Dynamic Mode Decomposition☆58Updated 7 years ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year