Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with differentialequations
A curated list of projects in awesome lists tagged with differentialequations .
https://github.com/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.
dae dde delay-differential-equations differential-algebraic-equations differential-equations differentialequations dynamical-systems julia neural-differential-equations numerical ode python r scientific scientific-machine-learning sciml sde spde stochastic-differential-equations stochastic-processes
Last synced: 29 Sep 2024
https://github.com/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.
dae dde delay-differential-equations differential-algebraic-equations differential-equations differentialequations dynamical-systems julia neural-differential-equations numerical ode python r scientific scientific-machine-learning sciml sde spde stochastic-differential-equations stochastic-processes
Last synced: 01 Aug 2024
https://github.com/SciML/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
differential-equations differentialequations machine-learning neural-differential-equations neural-network neural-networks ode ordinary-differential-equations partial-differential-equations pde pinn scientific-ai scientific-machine-learning scientific-ml sciml
Last synced: 30 Jul 2024
https://github.com/SciML/DiffEqFlux.jl
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
delay-differential-equations differential-equations differentialequations neural-dde neural-differential-equations neural-jump-diffusions neural-networks neural-ode neural-pde neural-sde neural-sdes ordinary-differential-equations partial-differential-equations physics-informed-learning pinn scientific-ai scientific-machine-learning scientific-ml stiff-ode stochastic-differential-equations
Last synced: 01 Aug 2024
https://github.com/sciml/scimltutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
dae dde differential-equations differentialequations hacktoberfest julia neural-differential-equations neural-ode ode ordinary-differential-equations partial-differential-equations pde python r scientific-machine-learning sciml sde stochastic-differential-equations
Last synced: 29 Sep 2024
https://github.com/SciML/SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
dae dde differential-equations differentialequations hacktoberfest julia neural-differential-equations neural-ode ode ordinary-differential-equations partial-differential-equations pde python r scientific-machine-learning sciml sde stochastic-differential-equations
Last synced: 04 Aug 2024
https://github.com/sciml/ordinarydiffeq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
adaptive differential-equations differentialequations event-handling hacktoberfest high-performance julia ode ordinary-differential-equations scientific-machine-learning sciml
Last synced: 29 Sep 2024
https://github.com/SciML/SciMLSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
adjoint backpropogation dae dde differential-equations differentialequations hacktoberfest neural-ode neural-sde ode scientific-machine-learning sciml sde sensitivity-analysis
Last synced: 02 Aug 2024
https://github.com/SciML/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
dae dde delay-differential-equations differential-algebraic-equations differential-equations differentialequations hacktoberfest neural-differential-equations neural-ode ode ordinary-differential-equations partial-differential-equations pde scientific-machine-learning sciml sde stochastic-differential-equations
Last synced: 31 Jul 2024
https://github.com/jonniedie/componentarrays.jl
Arrays with arbitrarily nested named components.
array arrays control-systems controls controls-and-dynamics differential-equations differentialequations dynamical-systems julia machine-learning modeling modeling-language named-tuples neural-networks neural-ode optimization scientific-machine-learning simulation simulation-modeling
Last synced: 29 Sep 2024
https://github.com/jonniedie/ComponentArrays.jl
Arrays with arbitrarily nested named components.
array arrays control-systems controls controls-and-dynamics differential-equations differentialequations dynamical-systems julia machine-learning modeling modeling-language named-tuples neural-networks neural-ode optimization scientific-machine-learning simulation simulation-modeling
Last synced: 31 Jul 2024
https://github.com/SciML/DiffEqOperators.jl
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
differential-equations differentialequations fdm finite-difference-method julia matrix-free neural-differential-equations neural-ode partial-differential-equations pde scientific-machine-learning sciml sde stochastic-differential-equations
Last synced: 02 Aug 2024
https://github.com/SciML/Sundials.jl
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
arkode clang cvode dae differential-algebraic-equations differential-equations differentialequations hacktoberfest hybrid-differential-equation ida idas julia kinsol ode ordinary-differential-equations scientific-machine-learning sciml sensitivity-analysis sundials sundials-libraries
Last synced: 09 Aug 2024
https://github.com/SciML/SciMLBase.jl
The Base interface of the SciML ecosystem
dae dde differentialequations julia ode ordinary-differential-equations scientific-machine-learning sciml sde
Last synced: 31 Jul 2024
https://github.com/AMICI-dev/AMICI
Advanced Multilanguage Interface to CVODES and IDAS
adjoint-sensitivities cvode cvodes differentialequations forward-sensitivities hacktoberfest idas kinetic-modeling mechanistic-models modeling ode parameter-estimation petab pysb python sbml sensitivities sensitivity-analysis simulation systemsbiology
Last synced: 02 Aug 2024
https://github.com/SciML/StructuralIdentifiability.jl
Fast and automatic structural identifiability software for ODE systems
differentialequations julia parameter-estimation structural-identifiability
Last synced: 02 Aug 2024