ODE solver library in Rust

[NeurIPS 2024] Official PyTorch implementation for the paper "AdjointDEIS: Efficient Gradients for Diffusion Models"

Double-Double Ordinary Differential Equation Solver

pyHamSys is a Python package for scientific computations involving Hamiltonian systems

A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).

Numerical methods to solve ordinary differential equations in Rust.

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

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 model-independent chemistry module for atmosphere models

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

ODE solvers for celestial mechanics

C++ library for ODE integration via Taylor's method and LLVM

High Oscillatory Ordinary Differential Equation Solver in Julia

[IJCB 2024] Official PyTorch implementation for the paper "Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs"

[IEEE TBIOM and IJCB 2024] Official PyTorch implementation for the papers "Leveraging Diffusion For Strong and High Quality Face Morphing Attacks" and "Fast-DiM: Towards Fast Diffusion Morphs Publisher: IEEE"

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

Creating and Training a ANN for solving the choatic 3 body problem

C# / F# NET5 interop with FORTRAN ODE Solver DLSODE aimed at solving very large systems of potentially stiff ODEs (like in chemical systems) where the number of variables is very large (on the order of 10^5 and more).

ODE integration using Taylor's method, and more, in Julia