dg227 / NLSALinks
Kernel methods for statistical modeling of dynamical systems
☆25Updated 7 months ago
Alternatives and similar repositories for NLSA
Users that are interested in NLSA are comparing it to the libraries listed below
Sorting:
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.☆105Updated last week
- Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …☆30Updated 6 years ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆51Updated last year
- PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.☆13Updated 3 years ago
- Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.☆23Updated last year
- A hackable Lyapunov exponents calculator☆14Updated 5 years ago
- A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.☆10Updated 3 weeks ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆30Updated 3 years ago
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆43Updated 4 years ago
- This Python package aims at providing tools to study stochastic processes: integrate SDEs, solve Fokker-Planck equations, sample rare eve…☆11Updated 5 years 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
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- This repository contains material for the class "Instabilities in Fluids" taught in 2018 at the Australian National University.☆24Updated 2 years ago
- explore the FV3 data for parameterization☆17Updated 7 months ago
- ☆107Updated last month
- Computation of invariant manifolds in high-dimensional mechanics problems☆25Updated 2 years ago
- Python 2D Navier-Stokes solver☆21Updated last week
- ¡AnDA! is a Python library for the Analog Data Assimilation.☆28Updated 3 years ago
- Library for computing the Finite-time Lyapunov Exponents of 2D flows using xarray☆9Updated 3 years ago
- Code repository for paper: An ensemble score filter for tracking high-dimensional nonlinear dynamical systems☆15Updated 9 months ago
- PyDA: A hands-on introduction to dynamical data assimilation with Python☆69Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Large Eddy Simulation with dedalus☆37Updated 6 years ago
- A single column model of atmospheric boundary layer turbulence and clouds☆13Updated 5 years ago
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆63Updated this week
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆53Updated 4 years ago
- A type-flexible shallow water model that can run with 16-bit arithmetic.☆123Updated 3 weeks ago
- Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.☆18Updated last year