Ubuntu
amp package

amp 0.6.1-1build2 source package in Ubuntu

Changelog

amp (0.6.1-1build2) focal; urgency=medium

  * No-change rebuild to drop python3.7.

 -- Matthias Klose <email address hidden>  Tue, 18 Feb 2020 09:24:55 +0100

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe misc

Downloads

File Size SHA-256 Checksum
amp_0.6.1.orig.tar.gz 3.1 MiB 0111cda57c55caa21529c1fae53625e6c9a9653434e0be8d54d6d1a46042116f
amp_0.6.1-1build2.debian.tar.xz 3.4 KiB 68dc6aa00aa1f3929ec09b931358a12018cf6ed902c3fcc42450f23a9722acd2
amp_0.6.1-1build2.dsc 2.1 KiB f8adfc3b5890c7f9790b6150ba2db85d29ac659aab378dec5efe2d12a88557fc

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.

python3-amp-dbgsym: No summary available for python3-amp-dbgsym in ubuntu hirsute.

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