ode

There are 385 repositories under ode topic.

  • nfmcclure/tensorflow_cookbook

    Code for Tensorflow Machine Learning Cookbook

    Language:Jupyter Notebook6.2k336992.4k

  • 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.

    Language:Julia2.8k58866223

  • 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

    Language:Julia1.4k291.2k195

  • Zymrael/awesome-neural-ode

    A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

    1.2k535140

  • SciML/NeuralPDE.jl

    Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

    Language:Julia92037334195

  • SciML/SciMLTutorials.jl

    Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

    Language:CSS7092576129
  • 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.

    Language:Python647279186

  • korsbo/Latexify.jl

    Convert julia objects to LaTeX equations, arrays or other environments.

    Language:Julia5421513255

  • 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)

    Language:Julia51319789195

  • SciML/diffeqpy

    Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

    Language:Python500238639

  • 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.

    Language:Julia4281832471

  • SciML/DataDrivenDiffEq.jl

    Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

    Language:Julia3991915556

  • 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.

    Language:Julia3181930168

  • SciML/DiffEqBase.jl

    The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

    Language:Julia29920219106

  • SciML/SciMLBenchmarks.jl

    Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

    Language:MATLAB298178674

  • analysiscenter/pydens

    PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

    Language:Jupyter Notebook281162965

  • mathLab/PINA

    Physics-Informed Neural networks for Advanced modeling

    Language:Python281118956

  • SciML/DiffEqGPU.jl

    GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

    Language:Julia271118227
  • easy-neural-ode

    jacobjinkelly/easy-neural-ode

    Code for the paper "Learning Differential Equations that are Easy to Solve"

    Language:Python26411830

  • SciML/DiffEqDocs.jl

    Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

    Language:Julia26115168237

  • 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

    Language:Julia2051119278

  • SciML/SciMLStyle

    A style guide for stylish Julia developers

    Language:Julia20091317

  • bluescarni/heyoka

    C++ library for ODE integration via Taylor's method and LLVM

    Language:C++19371312

  • JuliaReach/ReachabilityAnalysis.jl

    Computing reachable states of dynamical systems in Julia

    Language:Julia1871025117

  • tzaeschke/ode4j

    Java 3D Physics Engine & Library

    Language:Java158195034

  • SciML/diffeqr

    Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

    Language:R136122914

  • 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)

    Language:Julia1341214734

  • jinningwang/best-of-ps

    🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.

    1335620

  • Fortran-FOSS-Programmers/FOODIE

    Fortran Object-Oriented Differential-equations Integration Environment, FOODIE

    Language:Fortran129263730

  • metrumresearchgroup/mrgsolve

    Simulate from ODE-based population PK/PD and QSP models in R

    Language:R1262970734

  • 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

    Language:Julia120136929

  • SciML/SciMLBase.jl

    The Base interface of the SciML ecosystem

    Language:Julia1171213390

  • 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.

    Language:Fortran114193647

  • nathanaelbosch/ProbNumDiffEq.jl

    Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

    Language:Julia11263515
  • AMICI

    AMICI-dev/AMICI

    Advanced Multilanguage Interface to CVODES and IDAS

    Language:Jupyter Notebook1071292730

  • SciML/ODE.jl

    Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.

    Language:Julia106206650