Topic: differentialequations Goto Github
Some thing interesting about differentialequations
Some thing interesting about differentialequations
differentialequations,Advanced Multilanguage Interface to CVODES and IDAS
Organization: amici-dev
Home Page: https://amici.readthedocs.io/
differentialequations,Simple program that solves specified differential equation using finite element method, written in Python
User: jakubowiczish
differentialequations,Euler's Method in Python to approximate solution of IVPs (differential equations)
User: jigardprajapati
differentialequations,A general purpose numerical simulator supporting nested dynamical systems and a convenient macro-based data logger.
User: jinraekim
differentialequations,Arrays with arbitrarily nested named components.
User: jonniedie
differentialequations,Direct and Inverse Solver for Kinetic Capillary Electrophoresis (KCE)
User: jzsfvss
differentialequations,Lecuture notes on practical methods for ordinary differential equations
Organization: matsunagalab
differentialequations,Boundary value problem (BVP) solvers for scientific machine learning (SciML)
Organization: sciml
differentialequations,Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem
Organization: sciml
differentialequations,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/
differentialequations,Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
Organization: sciml
differentialequations,The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Organization: sciml
differentialequations,Differential equation problem specifications and scientific machine learning for common financial models
Organization: sciml
differentialequations,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
differentialequations,GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqGPU/stable/
differentialequations,Monte Carlo simulation routines for high-performance parallelization of differential equation solvers and scientific machine learning
Organization: sciml
Home Page: https://benchmarks.sciml.ai/
differentialequations,Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqOperators/stable/
differentialequations,Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqParamEstim/stable/
differentialequations,A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
Organization: sciml
differentialequations,A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Organization: sciml
differentialequations,Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Organization: sciml
differentialequations,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.
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqDocs/stable/
differentialequations,A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Organization: sciml
Home Page: https://docs.sciml.ai/FEniCS/stable/
differentialequations,Solvers for finite element discretizations of PDEs in the SciML scientific machine learning ecosystem
Organization: sciml
Home Page: https://benchmarks.sciml.ai/
differentialequations,A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Organization: sciml
Home Page: https://docs.sciml.ai/MultiScaleArrays/stable/
differentialequations,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/
differentialequations,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/
differentialequations,The Base interface of the SciML ecosystem
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLBase/stable
differentialequations,Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLBenchmarksOutput/stable/
differentialequations,Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLExpectations/stable/
differentialequations,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.
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLSensitivity/stable/
differentialequations,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
differentialequations,Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)
Organization: sciml
differentialequations,Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Organization: sciml
differentialequations,Fast and automatic structural identifiability software for ODE systems
Organization: sciml
Home Page: https://docs.sciml.ai/StructuralIdentifiability/stable/
differentialequations,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
differentialequations,Provides a solution for any resolvable differential equation with a degree n>1, using Euler or RK4 methods.
Organization: theme-maths
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