Topic: ordinary-differential-equations Goto Github
Some thing interesting about ordinary-differential-equations
Some thing interesting about ordinary-differential-equations
ordinary-differential-equations,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.
Organization: auto-07p
ordinary-differential-equations,A Python Framework for Modeling and Analysis of Signaling Systems
Organization: biomass-dev
Home Page: http://biomass-core.rtfd.io
ordinary-differential-equations,∫ Straightforward numerical integration of systems of ordinary differential equations
User: bjodah
ordinary-differential-equations,C and Python examples from my book on using PETSc and Firedrake to solve PDEs
User: bueler
ordinary-differential-equations,The Systems Biology Simulation Core Library (SBSCL) provides an efficient and exhaustive Java implementation of methods to interpret the content of models encoded in the Systems Biology Markup Language (SBML) and its numerical solution.
Organization: draeger-lab
Home Page: https://draeger-lab.github.io/SBSCL/
ordinary-differential-equations,ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.
User: iliailmer
Home Page: https://iliailmer.github.io/ParameterEstimation.jl/
ordinary-differential-equations,Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248
User: ilyaorson
Home Page: https://arxiv.org/abs/2210.11245
ordinary-differential-equations,The INTEGRAL library provides routines for the integration of functions of various types. Additionally, the INTEGRAL library provides routines for the integration of systems of ordinary differential equations (ODEs).
User: jchristopherson
ordinary-differential-equations,MATLAB/Octave Codes for Numerical analysis techniques
User: jishnurajendran
Home Page: https://jishnurajendran.github.io/Numerical-analysis/
ordinary-differential-equations,Python notebooks for Numerical Analysis
User: john-s-butler-dit
ordinary-differential-equations,Geometric Numerical Integration in Julia
Organization: juliagni
ordinary-differential-equations,Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
User: juliagusak
ordinary-differential-equations,Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
User: juliagusak
ordinary-differential-equations,Numerical Methods (NM) for BE Electrical II Year / II Part, Email: [email protected]
Organization: khce
ordinary-differential-equations,🦋 hundun is a python library for the exploration of chaos.
User: llbxg
Home Page: https://pypi.org/project/hundun/
ordinary-differential-equations,Easy-to-compile, high-order ODE solvers as C++ classes
User: markmbaum
Home Page: https://markmbaum.github.io/libode/
ordinary-differential-equations,A Python library for solving Initial Value Problems using various numerical integration methods.
User: microno95
ordinary-differential-equations,Python library for arbitrary-precision floating-point arithmetic
Organization: mpmath
Home Page: http://mpmath.org
ordinary-differential-equations,Rehuel is a simple C++11 library for solving ordinary differential equations with (implicit) Runge-Kutta methods.
User: pakketeretet2
ordinary-differential-equations,pySDC is a Python implementation of the spectral deferred correction (SDC) approach and its flavors, esp. the multilevel extension MLSDC and PFASST.
Organization: parallel-in-time
Home Page: http://www.parallel-in-time.org/pySDC
ordinary-differential-equations,Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
User: patrick-kidger
ordinary-differential-equations,Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran
User: planelles20
ordinary-differential-equations,Solve ODEs fast, with support for PyMC
Organization: pymc-devs
Home Page: https://sunode.readthedocs.io
ordinary-differential-equations,Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization
Organization: sciml
Home Page: https://benchmarks.sciml.ai/
ordinary-differential-equations,The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Organization: sciml
ordinary-differential-equations,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
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqBayes/stable/
ordinary-differential-equations,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
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqFlux/stable
ordinary-differential-equations,Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqParamEstim/stable/
ordinary-differential-equations,A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
Organization: sciml
ordinary-differential-equations,Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Organization: sciml
ordinary-differential-equations,Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Organization: sciml
ordinary-differential-equations,Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Organization: sciml
Home Page: https://docs.sciml.ai/GlobalSensitivity/stable/
ordinary-differential-equations,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
Organization: sciml
Home Page: https://mtk.sciml.ai/dev/
ordinary-differential-equations,A standard library of components to model the world and beyond
Organization: sciml
Home Page: https://docs.sciml.ai/ModelingToolkitStandardLibrary/stable/
ordinary-differential-equations,Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Organization: sciml
Home Page: https://docs.sciml.ai/NeuralPDE/stable/
ordinary-differential-equations,High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Organization: sciml
Home Page: https://diffeq.sciml.ai/latest/
ordinary-differential-equations,The Base interface of the SciML ecosystem
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLBase/stable
ordinary-differential-equations,Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Organization: sciml
Home Page: https://tutorials.sciml.ai
ordinary-differential-equations,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
Organization: sciml
Home Page: https://diffeq.sciml.ai
ordinary-differential-equations,VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
User: shervinea
Home Page: https://stanford.edu/~shervine/teaching/cme-102
ordinary-differential-equations,The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs
Organization: sintef
ordinary-differential-equations,Numerical methods to solve ordinary differential equations in Rust.
User: srenevey
ordinary-differential-equations,ODE system solver using dG(q), time-discontinuous Galerkin with Lobatto basis.
User: technologicat
ordinary-differential-equations,Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
User: titu1994
ordinary-differential-equations,A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).
User: woodward
ordinary-differential-equations,A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
User: zymrael
ordinary-differential-equations,Port-Hamiltonian Approach to Neural Network Training
User: zymrael
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