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Commented out the model load interception logic in hijack_load function.
This document provides a comprehensive guide for installing LAMMPS with the ML-IAP package, including prerequisites, configuration steps, and execution instructions for both single and multi-GPU setups.
Updated README for AlphaNet version 0.1.2-beta with new features and installation instructions.
Added instructions for converting checkpoints and necessary settings for LAMMPS.
Updated README to include new features and installation instructions.
Add instructions for installing dependencies and CuPy.
Removed markdown link formatting from git clone command.
Add neighbor-cache reuse, energy-only inference, and sparse matscipy neighbor lists for ASE-Torch
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📝 本次更新内容
文档优化
示例配置
代码优化
项目治理
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新用户现在可以在 5 分钟内完成安装和训练准备，大幅降低了入门门槛。
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