A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
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Updated
Jun 6, 2024
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Code for the paper "Learning Differential Equations that are Easy to Solve"
C++ library for ODE integration via Taylor's method and LLVM
开源Go语言数值算法库(An open numerical library purely based on Go programming language)
An open-source toolbox for fast sampling of diffusion models. Official implementations for our [CVPR-2024, ICML-2024] papers
Self advection, external force and pressure solve to a velocity field represented by a MaC grid.
ODE integration using Taylor's method, and more, in Julia
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
A collection of numerical methods written in Nim
Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.
Fixed and variable-step Runge-Kutta solvers in Modern Fortran
N body gravity attraction problem solver
Python library for ODE integration via Taylor's method and LLVM
Cloud-first free no-fee no-X uniX-like finite-element(ish) computational engineering tool
Numerical methods to solve ordinary differential equations in Rust.
Configurable ODE/PDE solver
Bulirsch-Stoer integration of systems of ordinary differential equations in JavaScript
Work in Progress to refactor and modernize the ODEPACK Library
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