ode-solver

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.

A Python native dynamical system simulation framework in the block diagram paradigm.

An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML'24, NeurIPS'24, CVPR'24, J. Stat. Mech'25.

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)

Scientific computing that fits on a microcontroller. Estimation, control, kinematics, Lie groups, calculus, autodiff and linear algebra in stable no_std Rust with no heap, no panics and no unsafe. Run the same code on your laptop and your Cortex-M0.

Computational Cell Biology Simulator & In Silico Drug Testing Platform — C++20/Metal, Novak-Tyson CDK ODE, Fick Diffusion, PhysiPKPD Pharmacodynamics

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

ODE solver library in Rust

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

Cloud-first free no-fee no-X uniX-like finite-element(ish) computational engineering tool

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

Flexible Inference for Predictive Coding Networks in JAX.

A collection of numerical methods written in Nim

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