martenlienen/torchode

A parallel ODE solver for PyTorch

50
/ 100
Established

This is a tool for developers who use PyTorch to build models that involve solving ordinary differential equations (ODEs). It takes your ODE definition and initial conditions, then efficiently computes the solution across many samples simultaneously. This helps machine learning engineers and researchers accelerate their scientific machine learning models, especially in areas like physics-informed neural networks or dynamical systems.

276 stars. Used by 2 other packages. No commits in the last 6 months. Available on PyPI.

Use this if you are a Python developer working with PyTorch and need to solve multiple ODEs in parallel within your machine learning models, especially when performance and JIT compilation are important.

Not ideal if you are looking for a general-purpose ODE solver for non-machine learning applications or if you are not working within the PyTorch ecosystem.

scientific machine learning deep learning dynamical systems modeling numerical simulation physics-informed neural networks
Stale 6m
Maintenance 0 / 25
Adoption 12 / 25
Maturity 25 / 25
Community 13 / 25

How are scores calculated?

Stars

276

Forks

20

Language

Python

License

MIT

Last pushed

Oct 03, 2024

Commits (30d)

0

Dependencies

3

Reverse dependents

2

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