A package for the sparse identification of nonlinear dynamical systems from data
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Updated
May 13, 2024 - Python
A package for the sparse identification of nonlinear dynamical systems from data
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
A Python Package For System Identification Using NARMAX Models
Python package for solving partial differential equations using finite differences.
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Modred main repository
Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
Code for the paper "Learning Differential Equations that are Easy to Solve"
If you use python and mysql, maybe one day you want it. base on pure mysql-connector ,auto manage connection and support 【no pool connect 、fixed 、dynamic pool】. Now used inBaidu poi off-line calculation system . ------------------- Open your favorite Terminal and run the modlue
A Python framework for designing, testing, and validating complex systems through modelling and simulation.
Tensor Train Toolbox
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
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