An open-source toolkit for entropic data analysis.

Python package which takes advantage of Numba to efficiently implement a variety of coherent structure methods and analyze time-dependent dynamical systems.

jax + quantum dynamics simulations

For doing multidimensional recurrent quantification analysis(MdRQA) and sliding window version of it

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Python implementation of the redundancy algorithm to estimate KS entropy

Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Code to reproduce the use examples published in SIAM 2022

Library for computer-assisted proofs in dynamical systems

A collection of definitions, theorems, lemmas, results, rules, techniques, derivations, proofs and more from the field of control theory. The note management system "Obsidian" is used for note management.

Web app for experimenting with control systems

Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/

A Control Systems Toolbox for Julia

C++ version of Kalker's FastSim algorithm, essential for railway dynamics simulations || GTest included according to the author's original data provided.

Python package for solving partial differential equations using finite differences.

Compute invariant manifolds of nonlinear maps

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.