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"

An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML, NeurIPS, CVPR.

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)

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

Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.

A collection of numerical methods written in Nim

Fixed and variable-step Runge-Kutta solvers in Modern Fortran

Python library for ODE integration via Taylor's method and LLVM

N body gravity attraction problem solver

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

Generalized Nonlinear Schrodringer Equation solver