Pakiet: python3-amp (0.6.1-1 i inne)

[ Pakiet źródłowy: amp  ]

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.

Inne pakiety związane z python3-amp

• dep: libc6 (>= 2.29)

  Biblioteka GNU C: biblioteki współdzielone
  również pakiet wirtualny udostępniany przez libc6-udeb

• dep: libgcc-s1 (>= 4.0)

  Biblioteka wspomagająca GCC

• dep: libgfortran5 (>= 10)

  Runtime library for GNU Fortran applications

• dep: python3

  interactive high-level object-oriented language (default python3 version)

  dep: python3 (<< 3.10)

  dep: python3 (>= 3.9~)

• dep: python3-ase (>= 3.14.0~)

  Atomic Simulation Environment (Python 3)

• dep: python3-numpy (>= 1:1.16.0~rc1)

  Fast array facility to the Python 3 language

• dep: python3-numpy-abi9

  pakiet wirtualny udostępniany przez python3-numpy

• dep: python3-scipy

  Narzędzia naukowe dla Pythona 3

• rec: python3-matplotlib

  Python based plotting system in a style similar to Matlab (Python 3)

Pobieranie python3-amp

Pobierz dla wszystkich dostępnych architektur

Architektura	Wersja	Rozmiar pakietu	Rozmiar po instalacji	Pliki
arm64	0.6.1-1+b4	221,1 KiB	1 337,0 KiB	[lista plików]