dynamical-systems
There are 519 repositories under dynamical-systems topic.
SciML/DifferentialEquations.jl
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.
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
dynamicslab/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
patrick-kidger/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Zymrael/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
FRBNY-DSGE/DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
JuliaDynamics/DynamicalSystems.jl
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
patrick-kidger/NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
JuliaControl/ControlSystems.jl
A Control Systems Toolbox for Julia
aristoteleo/dynamo-release
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
patrick-kidger/torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
zwicker-group/py-pde
Python package for solving partial differential equations using finite differences.
wilsonrljr/sysidentpy
A Python Package For System Identification Using NARMAX Models
jonniedie/ComponentArrays.jl
Arrays with arbitrarily nested named components.
jacobjinkelly/easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
JuliaDynamics/NonlinearDynamicsTextbook
Nonlinear Dynamics: A concise introduction interlaced with code
JuliaReach/ReachabilityAnalysis.jl
Computing reachable states of dynamical systems in Julia
JuliaDynamics/ChaosTools.jl
Tools for the exploration of chaos and nonlinear dynamics
Zymrael/gde
Neural Graph Differential Equations (Neural GDEs)
JuliaDynamics/InteractiveDynamics.jl
Fast, general-purpose interactive applications for complex systems
petercorke/bdsim
Simulate dynamic systems expressed in block diagram form using Python
wanxinjin/Pontryagin-Differentiable-Programming
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.
springer-math/dynamical-systems-with-applications-using-python
Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
robertobucher/pysimCoder
Block diagram editor and real time code generator for Python
MattWillFlood/EntropyHub
An open-source toolkit for entropic data analysis.
peterkrull/quad
Firmware, hardware and documentation for my autonomous quad copter project
baggepinnen/ControlSystemIdentification.jl
System Identification toolbox, compatible with ControlSystems.jl
auto-07p/auto-07p
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.
baggepinnen/LowLevelParticleFilters.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
zekeriyasari/Causal.jl
Causal.jl - A modeling and simulation framework adopting causal modeling approach.
kingaa/pomp
R package for statistical inference using partially observed Markov processes
horchler/SDETools
Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations
PGelss/scikit_tt
Tensor Train Toolbox
MathEXLab/PySPOD
A Python package for spectral proper orthogonal decomposition (SPOD).