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ACEsuit/mace

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Mace

MACE - Table of contents - About MACE - Documentation - Installation - pip installation - pip installation from source - Usage - Training - Evaluation - Tutorials - CUDA acceleration with cuEquivariance - Weights and Biases for experiment tracking - Pretrained Foundation Models - MACE-MP:…

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  • Equivariant Applications - Higher-order message passing networks for molecular force field prediction.
  • Equivariant Neural Networks - Higher order equivariant graph neural networks for 3D point clouds.
  • Interatomic Potentials - Fast equivariant message passing for interatomic potentials.
1,253 Stars·449 Forks·Python·7 Aufrufe

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Häufig gestellte Fragen

Was macht acesuit/mace?

MACE - Table of contents - About MACE - Documentation - Installation - pip installation - pip installation from source - Usage - Training - Evaluation - Tutorials - CUDA acceleration with cuEquivariance - Weights and Biases for experiment tracking - Pretrained Foundation Models - MACE-MP:…

Was sind die Hauptfunktionen von acesuit/mace?

Die Hauptfunktionen von acesuit/mace sind: Equivariant Applications, Equivariant Neural Networks, Interatomic Potentials.

Welche Open-Source-Alternativen gibt es zu acesuit/mace?

Open-Source-Alternativen zu acesuit/mace sind unter anderem: lammps/lammps — This project is a parallel simulation engine and molecular dynamics simulator designed to model the physical movements… acesuit/acefit.jl — Generic Codes for Fitting ACE models. aiqm/torchani — TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network… apax-hub/apax — apax[^1][^2] is a high-performance, extendable package for training of and inference with atomistic neural networks.… atomicarchitects/equiformer — Paper | OpenReview | Poster | Slides. acesuit/ace1.jl — Notes: This is currently a development branch of ACE (though we are still tagging versions regularly). For the latest…