dg227 / NLSA
Kernel methods for statistical modeling of dynamical systems
☆24Updated 2 months ago
Alternatives and similar repositories for NLSA:
Users that are interested in NLSA are comparing it to the libraries listed below
- Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.☆96Updated this week
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆28Updated 2 years ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆34Updated last year
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆48Updated last year
- Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection☆20Updated 4 months ago
- A hackable Lyapunov exponents calculator☆14Updated 5 years ago
- explore the FV3 data for parameterization☆17Updated 2 months ago
- Implementation of various ensemble Kalman Filter data assimilation methods in Julia☆63Updated last month
- Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.☆17Updated last year
- ☆34Updated 3 years ago
- Python 2D Navier-Stokes solver☆15Updated last month
- ¡AnDA! is a Python library for the Analog Data Assimilation.☆28Updated 3 years ago
- This Python package aims at providing tools to study stochastic processes: integrate SDEs, solve Fokker-Planck equations, sample rare eve…☆11Updated 4 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆24Updated 2 months ago
- PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.☆10Updated 2 years ago
- Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …☆30Updated 6 years ago
- A type-flexible shallow water model that can run with 16-bit arithmetic.☆120Updated 4 months ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆20Updated last year
- Models and parameterizations for the turbulent ocean surface boundary layer in Julia☆25Updated 2 years ago
- A single column model of atmospheric boundary layer turbulence and clouds☆12Updated 5 years ago
- Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation☆34Updated last year
- Quasigeostrophic model in JAX (port of PyQG)☆19Updated 3 months ago
- Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.☆15Updated 8 months ago
- ☆21Updated 4 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆40Updated 4 years ago
- ☆57Updated last year
- Official implementation of Score-based Data Assimilation☆51Updated last year
- Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"