A package for the sparse identification of nonlinear dynamical systems from data
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Updated
Jul 30, 2024 - Python
A package for the sparse identification of nonlinear dynamical systems from data
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
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.
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
A Control Systems Toolbox for Julia
Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
A Python Package For System Identification Using NARMAX Models
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
Python package for solving partial differential equations using finite differences.
AUTO is a publicly available software for continuation and bifurcation problems in ordinary differential equations originally written in 1980 and widely used in the dynamical systems community.
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Modred main repository
KeYmaera X: An aXiomatic Tactical Theorem Prover for Hybrid Systems (release)
Tools for the exploration of chaos and nonlinear dynamics
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