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pypi.org : jax-dips

Differentiable 3D interfacial PDE solvers written in JAX using the Neural Bootstrapping Method.

Registry - Source - Documentation - JSON
purl: pkg:pypi/jax-dips
Keywords: autodiff, differentiable, jax, level-set-method, neural, operator, pde-solver
License: LGPL-2.1
Latest release: 11 months ago
First release: 11 months ago
Downloads: 18 last month
Stars: 35 on GitHub
Forks: 1 on GitHub
See more repository details: repos.ecosyste.ms
Funding links: https://patreon.com/pourion
Last synced: 23 days ago

0.2.1
Published: 11 months ago
Registry - Documentation - Download sha256-1216119750ddf...
0.2.0
Published: 11 months ago
Registry - Documentation - Download sha256-5146ca5302190...