Python library for arbitrary-precision floating-point arithmetic

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

∫ Straightforward numerical integration of systems of ordinary differential equations

Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)

Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561

A Python Framework for Modeling and Analysis of Signaling Systems

A Python library for solving Initial Value Problems using various numerical integration methods.

Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"

ODE system solver using dG(q), time-discontinuous Galerkin with Lobatto basis.

🦋 hundun is a python library for the exploration of chaos.

A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiological models, IVPs, BVPs, and more.

👾 𝗻𝘂𝗺𝗲𝗿𝗶𝗰𝗮𝗹 𝗺𝗲𝘁𝗵𝗼𝗱𝘀 𝗳𝗼𝗿 𝗽𝗵𝘆𝘀𝗶𝗰𝘀: 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝘁𝗶𝗼𝗻, 𝗼𝗿𝗱𝗶𝗻𝗮𝗿𝘆, 𝗮𝗱𝘃𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗵𝘆𝗽𝗲𝗿𝗯𝗼𝗹𝗶𝗰 𝗽𝗮𝗿𝘁𝗶𝗮𝗹 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝗹 𝗲𝗾𝘀

Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24

Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-Dissipative Propagation by Anti-Symmetric Deep Graph Networks"; and "Non-Dissipative Propagation by Randomized Anti-Symmetric Deep Graph Networks"

Simulating and Optimising Dynamical Models in Python 3

Differents algorithms on python or matlab about numerical analysis - UNI

A small Python library for fast ODE prototyping and visualization.

Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.