ode

There are 4 repositories under ode topic.

nfmcclure / tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
tensorflow tensorflow-cookbook linear-regression neural-network tensorflow-algorithms rnn cnn svm nlp packtpub machine-learning tensorboard classification regression kmeans-clustering genetic-algorithm ode
Language:Jupyter Notebook 6167
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.
differential-equations differentialequations julia ode sde pde dae dde spde stochastic-processes stochastic-differential-equations delay-differential-equations partial-differential-equations differential-algebraic-equations dynamical-systems neural-differential-equations r python scientific-machine-learning sciml
Language:Julia 2756
SciML / ModelingToolkit.jl
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
differential-equations ode dae ordinary-differential-equations pde sde dde stochastic-differential-equations delay-differential-equations julia symbolic symbolic-computation symbolic-numerics computer-algebra sciml scientific-machine-learning optimization nonlinear-programming acausal equation-based
Language:Julia 1334
Zymrael / awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
deep-learning ordinary-differential-equations dynamical-systems dynamical-modeling ode-solver ode hamiltonian-dynamics implicit-models root-finding
1196
SciML / NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
differential-equations differentialequations neural-differential-equations scientific-ml scientific-ai partial-differential-equations ordinary-differential-equations neural-network neural-networks ode pde sciml scientific-machine-learning pinn machine-learning
Language:Julia 903
SciML / SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
differentialequations differential-equations ode sde dae dde ordinary-differential-equations neural-differential-equations neural-ode pde partial-differential-equations stochastic-differential-equations julia scientific-machine-learning sciml python r hacktoberfest
Language:CSS 708
neurodiffeq
NeuroDiffGym / neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
differential-equations neural-networks pytorch pde-solver odes artificial-intelligence deep-learning physics-informed-neural-networks pypi time-series mathematical-modelling scientific-computing ode pinn boundary-value-problem initial-value-problem
Language:Python 631
korsbo / Latexify.jl
Convert julia objects to LaTeX equations, arrays or other environments.
julia-library latex-maths latex ode equation julia
Language:Julia 529
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)
ordinary-differential-equations differentialequations ode event-handling adaptive high-performance differential-equations scientific-machine-learning hacktoberfest julia sciml
Language:Julia 498
SciML / diffeqpy
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
differential-equations differentialequations sde sdes ode numba dae ordinary-differential-equations differential-algebraic-equations stochastic-differential-equations dde delay-differential-equations sciml scientific-machine-learning
Language:Python 495
SciML / Catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
differential-equations chemical-reactions reaction-network sde dsl ode gillespie-algorithm biology systems-biology rate-laws sciml scientific-machine-learning systems-biology-simulation julia simulation
Language:Julia 420
SciML / DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
differential-equations julia ode scientific-machine-learning sciml
Language:Julia 398
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.
differentialequations sensitivity-analysis neural-ode adjoint backpropogation neural-sde ode sde dae dde sciml scientific-machine-learning hacktoberfest differential-equations
Language:Julia 308
SciML / DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
differentialequations differential-equations ode sde dae dde ordinary-differential-equations neural-differential-equations neural-ode stochastic-differential-equations delay-differential-equations differential-algebraic-equations pde partial-differential-equations sciml scientific-machine-learning hacktoberfest
Language:Julia 297
SciML / SciMLBenchmarks.jl
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
differential-equations differentialequations ode sde dae neural-ode nerual-differential-equations benchmark pde partial-differential-equations sciml scientific-machine-learning ai julia ai-for-science jax matlab python pytorch
Language:MATLAB 290
analysiscenter / pydens
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
deep-learning differential-equations neural-networks numerical-methods ode ode-solver partial-differential-equations pde-solver solving-pdes
Language:Jupyter Notebook 273
SciML / DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
gpu gpu-parallelism differentialequations differential-equations ode sde dae dde neural-ode neural-differential-equations sciml scientific-machine-learning
Language:Julia 267
easy-neural-ode
jacobjinkelly / easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
neural-ode differential-equations machine-learning jax deep-learning deep-neural-networks dynamical-systems neural-differential-equations numerical-integration ode ode-solver
Language:Python 262
SciML / DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
differential-equations sciml scientific-machine-learning physics-informed-learning ode sde dae dde neural-ode hacktoberfest
Language:Julia 260
mathLab / PINA
Physics-Informed Neural networks for Advanced modeling
physics-informed-neural-networks modeling machine-learning deep-learning python pytorch differential-equations ode pde physics-informed hacktoberfest lightining pinn equation-learning neural-networks neural-operators
Language:Python 244
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
julia sundials cvode ida ode differential-equations differentialequations ordinary-differential-equations dae differential-algebraic-equations sensitivity-analysis arkode idas kinsol sundials-libraries clang sciml scientific-machine-learning hybrid-differential-equation hacktoberfest
Language:Julia 203
SciML / SciMLStyle
A style guide for stylish Julia developers
julia ode scientific-machine-learning sciml style
Language:Julia 193
bluescarni / heyoka
C++ library for ODE integration via Taylor's method and LLVM
ode ode-solver differential-equations cpp cpp17 llvm just-in-time multiprecision extended-precision astronomy astrophysics astrodynamics celestial-mechanics simd nbody n-body
Language:C++ 189
JuliaReach / ReachabilityAnalysis.jl
Computing reachable states of dynamical systems in Julia
numerical-analysis hybrid-systems formal-verification cyber-physical-systems reachability-analysis rigorous-numerics differential-equations interval-arithmetic dynamical-systems control-systems verification ode julia automatic-control simulations set-propagation flowpipe
Language:Julia 185
tzaeschke / ode4j
Java 3D Physics Engine & Library
3d-game-engine 3d ode java physics stepper java-ports turbulenz-engine
Language:Java 156
SciML / diffeqr
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
differential-equations ode sde dae dde differential-algebraic-equations ordinary-differential-equations stochastic-differential-equations delay-differential-equations sciml scientific-machine-learning
Language:R 134
SciML / JumpProcesses.jl
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
gillespie ssa jump-diffusion stochastic differential-equations hybrid-differential-equation ode sde stochastic-jump-equations neural-ode neural-differential-equations scientific-ml scientific-ai sciml scientific-machine-learning
Language:Julia 133
Fortran-FOSS-Programmers / FOODIE
Fortran Object-Oriented Differential-equations Integration Environment, FOODIE
differential-equations fortran integration numerical-methods ode oop runge-kutta-formulas
Language:Fortran 129
metrumresearchgroup / mrgsolve
Simulate from ODE-based population PK/PD and QSP models in R
ode r mrgsolve rstats
Language:R 125
SciML / DiffEqBayes.jl
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
differential-equations stan julia ode sde dae dde ordinary-differential-equations stochastic-differential-equations neural-ode neural-differential-equations scientific-ml scientific-ai probabilistic-programming sciml scientific-machine-learning bayesian-inference
Language:Julia 119
jinningwang / best-of-ps
🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.
best-of best-of-list co-simulation power power-grids power-system power-system-analysis power-system-simulation powerflow simulation large-scale dae differential-algebraic-equations ode optimization optimizer
118
SciML / SciMLBase.jl
The Base interface of the SciML ecosystem
julia ode sciml dae dde differentialequations ordinary-differential-equations scientific-machine-learning sde
Language:Julia 115
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.
dynamical-systems ode ordinary-differential-equations
Language:Fortran 112
nathanaelbosch / ProbNumDiffEq.jl
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
differential-equations hacktoberfest julia ode ode-solver probabilistic-models probabilistic-numerics
Language:Julia 109
SciML / ODE.jl
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
differential-equations ode neural-ode sciml scientific-machine-learning
Language:Julia 106
AMICI
AMICI-dev / AMICI
Advanced Multilanguage Interface to CVODES and IDAS
differentialequations sensitivities simulation adjoint-sensitivities forward-sensitivities sbml systemsbiology cvode python kinetic-modeling mechanistic-models sensitivity-analysis cvodes idas pysb petab ode parameter-estimation hacktoberfest modeling
Language:Jupyter Notebook 105