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luigibonati avatar

luigibonati/mlcolvar

0
View on GitHub↗
144 stars·36 forks·Python·MIT·2 views

Mlcolvar

Machine Learning Collective Variables for Enhanced Sampling

Features

  • Molecular Dynamics - Framework for learning collective variables in enhanced sampling simulations.

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Frequently asked questions

What does luigibonati/mlcolvar do?

Machine Learning Collective Variables for Enhanced Sampling

What are the main features of luigibonati/mlcolvar?

The main features of luigibonati/mlcolvar are: Molecular Dynamics.

What are some open-source alternatives to luigibonati/mlcolvar?

Open-source alternatives to luigibonati/mlcolvar include: lammps/lammps — This project is a parallel simulation engine and molecular dynamics simulator designed to model the physical movements… chiang-yuan/muse — Muse (Mixture builder for simulation environments) is a Python package for rapidly building amorphous solids and… deepmodeling/dmff — DMFF (Differentiable Molecular Force Field) is a Jax-based python package that provides a full differentiable… fitsnap/fitsnap — A Python package for machine learning potentials with LAMMPS. icams/lammps-user-pace — You could get the supported version of LAMMPS from GitHub repository. initqp/somd — SOMD is an ab-initio molecular dynamics (AIMD) package designed for the SIESTA DFT code. The SOMD code provides some…

Open-source alternatives to Mlcolvar

Similar open-source projects, ranked by how many features they share with Mlcolvar.
  • lammps/lammpslammps avatar

    lammps/lammps

    2,783View on 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

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    View on GitHub↗2,783
  • deepmodeling/dmffdeepmodeling avatar

    deepmodeling/DMFF

    197View on GitHub↗

    DMFF (Differentiable Molecular Force Field) is a Jax-based python package that provides a full differentiable implementation of molecular force field models. This project aims to establish an extensible codebase to minimize the efforts in force field parameterization, and to ease the force and…

    Python
    View on GitHub↗197
  • fitsnap/fitsnapFitSNAP avatar

    FitSNAP/FitSNAP

    186View on GitHub↗

    A Python package for machine learning potentials with LAMMPS.

    Python
    View on GitHub↗186
  • chiang-yuan/musechiang-yuan avatar

    chiang-yuan/muse

    10View on GitHub↗

    Muse (Mixture builder for simulation environments) is a Python package for rapidly building amorphous solids and liquid mixtures from relaxed solid-state structures on Materials Project. It uses Packmol for packing molecules into simulation cells and supports density equilibration through…

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See all 12 alternatives to Mlcolvar→