A package for the sparse identification of nonlinear dynamical systems from data
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Updated
Jul 8, 2024 - Python
A package for the sparse identification of nonlinear dynamical systems from data
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
pyMOR - Model Order Reduction with Python
A Python module implementing some standard algorithms used in nonlinear time series analysis
A library for working with Cellular Automata, for Python.
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A toolbox for trajectory optimization of dynamical systems
Solve nonlinear heterogeneous agent models
PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation
A high-performance implementation of Empirical Dynamic Modeling (EDM)
Multiscale Modelling Tool - mathematical modelling without the maths
A toolbox to simulate and analyse nonlinear systems in a control context.
A Python Implementation of Dynamic Mode Decomposition
Generation of phase space portraits illustrating the onset of chaos in the Chirikov standard map
Projects for Non-Linear Dynamics
The minimalistic library for finding rotational modes in ODE system. JIT via Numba
Python implimentation Nonlinear Dynamics Simulation
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
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