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New port: science/py-chainer-chemistry: Library for deep learning in biology and chemistry

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This commit is contained in:
Yuri Victorovich 2019-08-08 21:05:43 +00:00
parent c8d423cde9
commit 3baf2e986b
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=508406
4 changed files with 38 additions and 0 deletions
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1
science/Makefile
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@ -233,6 +233,7 @@
SUBDIR += py-avogadrolibs SUBDIR += py-avogadrolibs
SUBDIR += py-cdo SUBDIR += py-cdo
SUBDIR += py-chainer SUBDIR += py-chainer
SUBDIR += py-chainer-chemistry
SUBDIR += py-chempy SUBDIR += py-chempy
SUBDIR += py-coards SUBDIR += py-coards
SUBDIR += py-dlib SUBDIR += py-dlib

28
science/py-chainer-chemistry/Makefile Normal file
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@ -0,0 +1,28 @@
# $FreeBSD$
PORTNAME= chainer-chemistry
DISTVERSION= 0.5.0
CATEGORIES= science biology
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= yuri@FreeBSD.org
COMMENT= Library for deep learning in biology and chemistry
LICENSE= MIT
RUN_DEPENDS= ${PYNUMPY} \
${PYTHON_PKGNAMEPREFIX}chainer>0:science/py-chainer@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}joblib>0:devel/py-joblib@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}matplotlib>0:math/py-matplotlib@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pandas>0:math/py-pandas@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}scikit-learn>0:science/py-scikit-learn@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}tqdm>0:misc/py-tqdm@${PY_FLAVOR}
USES= python
USE_PYTHON= distutils autoplist
NO_ARCH= yes
.include <bsd.port.mk>

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science/py-chainer-chemistry/distinfo Normal file
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TIMESTAMP = 1565289694
SHA256 (chainer-chemistry-0.5.0.tar.gz) = 12a2c19d4846907cdd2e51eeb65ba21d7012e759c7fed3ddb0ee89f2d239a4f5
SIZE (chainer-chemistry-0.5.0.tar.gz) = 77660

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science/py-chainer-chemistry/pkg-descr Normal file
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Chainer Chemistry is a deep learning framework (based on Chainer) with
applications in Biology and Chemistry. It supports various state-of-the-art
models (especially GCNN - Graph Convolutional Neural Network) for chemical
property prediction.
WWW: https://github.com/pfnet-research/chainer-chemistry