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atomistic-machine-learning

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Library for handling atomistic graph datasets focusing on transformer-based implementations. It provide utilities for training various models, experimenting with different pre-training tasks, and a suite of pre-trained models with huggingface integrations.

  • Updated May 10, 2024
  • Python

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