Ubuntu
amp package

amp 0.6.1-1build4 source package in Ubuntu

Changelog

amp (0.6.1-1build4) hirsute; urgency=medium

  * No-change rebuild to drop python3.8 extensions.

 -- Matthias Klose <email address hidden>  Mon, 07 Dec 2020 18:25:34 +0100

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Uploaded by:
Matthias Klose
Uploaded to:
Hirsute
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Downloads

File Size SHA-256 Checksum
amp_0.6.1.orig.tar.gz 3.1 MiB 0111cda57c55caa21529c1fae53625e6c9a9653434e0be8d54d6d1a46042116f
amp_0.6.1-1build4.debian.tar.xz 3.5 KiB 3f571891f9d431d2cfc4760b657ea00ed78d8e0e1317bb5644f4c7d8eac498dd
amp_0.6.1-1build4.dsc 2.1 KiB 0df2f8a40a31e2422555c9afd69949b4744029254620623fd412ee22a1a783b7

Available diffs

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Binary packages built by this source

python3-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.

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