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deepmodeling avatar

deepmodeling/deepmd-kit

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View on GitHub↗
1,970 stele·626 fork-uri·Python·LGPL-3.0·11 vizualizăridocs.deepmodeling.com/projects/deepmd↗

Deepmd Kit

A deep learning package for many-body potential energy representation and molecular dynamics

Features

  • Interatomic Potentials - Deep learning package for many-body potential energy representation.

Istoric stele

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Întrebări frecvente

Ce face deepmodeling/deepmd-kit?

A deep learning package for many-body potential energy representation and molecular dynamics

Care sunt principalele funcționalități ale deepmodeling/deepmd-kit?

Principalele funcționalități ale deepmodeling/deepmd-kit sunt: Interatomic Potentials.

Care sunt câteva alternative open-source pentru deepmodeling/deepmd-kit?

Alternativele open-source pentru deepmodeling/deepmd-kit includ: 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. acesuit/mace — MACE - Table of contents - About MACE - Documentation - Installation - pip installation - pip installation from source… 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.… acesuit/ace1.jl — Notes: This is currently a development branch of ACE (though we are still tagging versions regularly). For the latest…

Alternative open-source pentru Deepmd Kit

Proiecte open-source similare, clasificate după numărul de funcționalități comune cu Deepmd Kit.
  • lammps/lammpsAvatar lammps

    lammps/lammps

    2,783Vezi pe GitHub↗

    This project is a parallel simulation engine and molecular dynamics simulator designed to model the physical movements of atoms and molecules. It functions as an interatomic potential framework for calculating forces between particles and a materials analysis tool for computing thermodynamic, structural, and transport properties of solids and fluids. The engine is distinguished by its high-performance computing capabilities, utilizing spatial-domain decomposition and message-passing interface communication to distribute workloads across processors. It supports multi-backend GPU acceleration v

    C++kokkoslammpsmolecular-dynamics
    Vezi pe GitHub↗2,783
  • acesuit/acefit.jlAvatar ACEsuit

    ACEsuit/ACEfit.jl

    8Vezi pe GitHub↗

    Generic Codes for Fitting ACE models

    Julia
    Vezi pe GitHub↗8
  • acesuit/maceAvatar ACEsuit

    ACEsuit/mace

    1,253Vezi pe GitHub↗

    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:…

    Python
    Vezi pe GitHub↗1,253
  • acesuit/ace1.jlAvatar ACEsuit

    ACEsuit/ACE1.jl

    23Vezi pe GitHub↗

    Notes: This is currently a development branch of ACE (though we are still tagging versions regularly). For the latest stable version see DEV-v0.8.x Preliminary Documentation, WIP.

    Julia
    Vezi pe GitHub↗23
Vezi toate cele 30 alternative pentru Deepmd Kit→