JeffreyEarly / GLNumericalModelingKit
Numerical modeling tools for Matlab and Objective-C
☆11Updated 2 months ago
Alternatives and similar repositories for GLNumericalModelingKit:
Users that are interested in GLNumericalModelingKit are comparing it to the libraries listed below
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆35Updated 3 years ago
- Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://…☆33Updated 7 years ago
- Empirical dynamic modeling in scikit-learn's style☆24Updated 7 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Updated 5 years ago
- PySensors is a Python package for sparse sensor placement☆86Updated this week
- Tutorials for Sensitivity Analysis using SALib☆33Updated 5 years ago
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆43Updated 2 years ago
- Python wrapper for TISEAN☆29Updated 7 years ago
- ☆41Updated 7 years ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆27Updated 2 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- Dynamic Mode Decomposition☆58Updated 7 years ago
- Python Library for Particle based estimation methods☆62Updated 6 years ago
- A Python Wrapper for the Inform Information Analysis Library☆50Updated 5 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆79Updated 3 weeks ago
- Infinite-horizon Gaussian processes☆32Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆29Updated 8 months ago
- ☆21Updated this week
- ☆10Updated 4 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- ☆11Updated 6 years ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆20Updated last year
- Python package for sensor placement optimization☆63Updated 6 months ago
- Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1…☆21Updated 6 years ago
- Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler☆114Updated this week
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Updated 5 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago
- Kernel methods for statistical modeling of dynamical systems☆24Updated last month
- Implementation of the Gaussian Process Autoregressive Regression Model☆62Updated last month
- ¡AnDA! is a Python library for the Analog Data Assimilation.☆28Updated 3 years ago