パッケージ: python3-amp (0.6.1-1 など)
Atomistic Machine-learning Package (python 3)
Amp is an open-source package designed to easily bring machine-learning to atomistic calculations. This project is being developed at Brown University in the School of Engineering, primarily by Andrew Peterson and Alireza Khorshidi, and is released under the GNU General Public License. Amp allows for the modular representation of the potential energy surface, allowing the user to specify or create descriptor and regression methods.
Amp is designed to integrate closely with the Atomic Simulation Environment (ASE). As such, the interface is in pure python, although several compute-heavy parts of the underlying code also have fortran versions to accelerate the calculations. The close integration with ASE means that any calculator that works with ASE ─ including EMT, GPAW, DACAPO, VASP, NWChem, and Gaussian ─ can easily be used as the parent method.
This package provides the python 3 modules.
その他の python3-amp 関連パッケージ
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- dep: libc6 (>= 2.29)
- GNU C ライブラリ: 共有ライブラリ
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
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- dep: libgcc-s1 (>= 4.0)
- GCC 共有ライブラリ
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- dep: libgfortran5 (>= 10)
- GNU Fortran アプリケーション用ランタイムライブラリ
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- dep: python3
- 対話式の高レベルオブジェクト指向言語 (デフォルト python3 バージョン)
- dep: python3 (<< 3.10)
- dep: python3 (>= 3.9~)
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- dep: python3-ase (>= 3.14.0~)
- Atomic Simulation Environment (Python 3)
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- dep: python3-numpy (>= 1:1.16.0~rc1)
- Fast array facility to the Python 3 language
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- dep: python3-numpy-abi9
- 以下のパッケージによって提供される仮想パッケージです: python3-numpy
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- dep: python3-scipy
- scientific tools for Python 3
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- rec: python3-matplotlib
- Python based plotting system in a style similar to Matlab (Python 3)