Topic: differential-equations Goto Github
Some thing interesting about differential-equations
Some thing interesting about differential-equations
differential-equations,PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Organization: analysiscenter
differential-equations,A fast and flexible C++ simulation engine and differential equation solver.
Organization: anyarinc
differential-equations,Astus' Mathematical Display Application : A GUI for Mathematics (Calculator, LaTeX Converter, Plotter, ... )
User: astusrush
differential-equations,Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
User: benmoseley
differential-equations,C++ library for ODE integration via Taylor's method and LLVM
User: bluescarni
Home Page: https://bluescarni.github.io/heyoka/
differential-equations,Brian is a free, open source simulator for spiking neural networks.
Organization: brian-team
Home Page: http://briansimulator.org
differential-equations,Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
User: cpmech
differential-equations, 🌊 Numerically solving and backpropagating through the wave equation
Organization: fancompute
Home Page: https://advances.sciencemag.org/content/5/12/eaay6946
differential-equations,Fortran Object-Oriented Differential-equations Integration Environment, FOODIE
Organization: fortran-foss-programmers
differential-equations,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Organization: google-research
differential-equations,An intuitive modeling interface for infinite-dimensional optimization problems.
Organization: infiniteopt
Home Page: https://infiniteopt.github.io/InfiniteOpt.jl/stable
differential-equations,Code for the paper "Learning Differential Equations that are Easy to Solve"
User: jacobjinkelly
Home Page: https://arxiv.org/abs/2007.04504
differential-equations,"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
User: jeongwhanchoi
Home Page: https://arxiv.org/abs/2112.03558
differential-equations,Arrays with arbitrarily nested named components.
User: jonniedie
differential-equations,Computing reachable states of dynamical systems in Julia
Organization: juliareach
Home Page: https://juliareach.github.io/ReachabilityAnalysis.jl/
differential-equations,Physics-Informed Neural networks for Advanced modeling
Organization: mathlab
Home Page: https://mathlab.github.io/PINA/
differential-equations,18.S096 - Applications of Scientific Machine Learning
Organization: mitmath
differential-equations,Animations of random double pendulums
User: narimiran
Home Page: https://twitter.com/pendulum_bot
differential-equations,A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Organization: neurodiffgym
Home Page: http://pypi.org/project/neurodiffeq/
differential-equations,Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
User: patrick-kidger
differential-equations,Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
User: patrick-kidger
differential-equations,Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
User: patrick-kidger
differential-equations,Source files of the course "Mathematics for Macroeconomics"
User: pmichaillat
Home Page: https://pascalmichaillat.org/c3/
differential-equations,scikit-fmm is a Python extension module which implements the fast marching method.
Organization: scikit-fmm
differential-equations,Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Organization: sciml
Home Page: https://docs.sciml.ai/Catalyst/stable/
differential-equations,Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Organization: sciml
Home Page: https://docs.sciml.ai/DataDrivenDiffEq/stable/
differential-equations,The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Organization: sciml
differential-equations,Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqDocs/stable/
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
differential-equations,GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqGPU/stable/
differential-equations,Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqOperators/stable/
differential-equations,Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Organization: sciml
differential-equations,Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Organization: sciml
differential-equations,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/
differential-equations,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)
Organization: sciml
Home Page: https://docs.sciml.ai/JumpProcesses/stable/
differential-equations,LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
Organization: sciml
Home Page: https://docs.sciml.ai/LinearSolve/stable/
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/
differential-equations,DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Organization: sciml
Home Page: https://docs.sciml.ai/NeuralOperators/stable/
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/
differential-equations,High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Organization: sciml
Home Page: https://docs.sciml.ai/NonlinearSolve/stable/
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/
differential-equations,Reservoir computing utilities for scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/ReservoirComputing/stable/
differential-equations,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/
differential-equations,Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Organization: sciml
Home Page: https://book.sciml.ai/
differential-equations,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/
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
differential-equations,Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Organization: sciml
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
differential-equations,Surrogate modeling and optimization for scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/Surrogates/stable/
differential-equations,V library to develop Artificial Intelligence and High-Performance Scientific Computations
Organization: vlang
Home Page: https://vlang.github.io/vsl
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