https://bugzilla.redhat.com/show_bug.cgi?id=1249094
Bug ID: 1249094
Summary: Review Request: nrn - A flexible and powerful
simulator of neurons and networks
Product: Fedora
Version: rawhide
Component: Package Review
Severity: medium
Priority: medium
Assignee: nobody(a)fedoraproject.org
Reporter: sanjay.ankur(a)gmail.com
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Spec URL:
https://ankursinha.fedorapeople.org/neuroscience-research-copr/nrn.spec
SRPM URL:
https://ankursinha.fedorapeople.org/neuroscience-research-copr/nrn-7.3-1.fc…
Description:
NEURON is a simulation environment for modeling individual neurons and networks
of neurons. It provides tools for conveniently building, managing, and using
models in a way that is numerically sound and computationally efficient. It is
particularly well-suited to problems that are closely linked to experimental
data, especially those that involve cells with complex anatomical and
biophysical properties.
Fedora Account System Username: ankursinha
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https://bugzilla.redhat.com/show_bug.cgi?id=1150441
Bug ID: 1150441
Summary: Review Request: iv - NEURON graphical interface
Product: Fedora
Version: rawhide
Component: Package Review
Severity: medium
Priority: medium
Assignee: nobody(a)fedoraproject.org
Reporter: sanjay.ankur(a)gmail.com
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Spec URL: https://ankursinha.fedorapeople.org/iv/iv.spec
SRPM URL: https://ankursinha.fedorapeople.org/iv/iv-3.2b.hines18-1.fc21.src.rpm
Description:
InterViews is a native C++ toolkit for X Windows developed by Mark Linton and
his team at Stanford University and later Silicon Graphics. The last major
release was InterViews 3.1 in 1993, and included the Unidraw drawing editor
application framework which was the basis of John Vlissides' thesis work at
Stanford. InterViews also has lightweight glyphs with switchable look-and-feel
(Apple monochrome, Motif, OpenLook, and SGI Motif). It has been ported to most
any Unix which runs X11. Other programmers known to have worked on InterViews
include Paul Calder, John Interrante, Steven Tang, and Scott Stanton.
Fedora Account System Username: ankursinha
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https://bugzilla.redhat.com/show_bug.cgi?id=1174036
Bug ID: 1174036
Summary: Review Request: ocaml-re - OCaml regular expression
library
Product: Fedora
Version: rawhide
Component: Package Review
Severity: medium
Assignee: nobody(a)fedoraproject.org
Reporter: jon(a)recoil.org
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Spec URL: http://www.recoil.org/~jon/ocaml-re.spec
SRPM URL: http://www.recoil.org/~jon/ocaml-re-1.2.2-2.fc21.src.rpm
Description:
A pure OCaml regular expression library. Supports Perl-style regular
expressions, Posix extended regular expressions, Emacs-style regular
expressions, and shell-style file globbing. It is also possible to
build regular expressions by combining simpler regular expressions.
There is also a subset of the PCRE interface available in the Re.pcre
library.
Fedora Account System Username: jonludlam
Koji link: http://koji.fedoraproject.org/koji/taskinfo?taskID=8383840
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https://bugzilla.redhat.com/show_bug.cgi?id=1266011
Bug ID: 1266011
Summary: Review Request: ocaml-re - Pure OCaml regular
expressions with support for Perl and POSIX-style
strings
Product: Fedora
Version: rawhide
Component: Package Review
Severity: medium
Priority: medium
Assignee: nobody(a)fedoraproject.org
Reporter: i(a)cicku.me
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Spec URL: http://cicku.me/ocaml-re.spec
SRPM URL: http://cicku.me/ocaml-re-1.4.1-1.fc24.src.rpm
Description: Re is a regular expression library for OCaml. It has better
performance comparing with PCRE in some cases.
The following styles of regular expressions are supported:
* Perl-style regular expressions;
* Posix extended regular expressions;
* Emacs-style regular expressions;
* Shell-style file globbing.
Fedora Account System Username: cicku
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https://bugzilla.redhat.com/show_bug.cgi?id=1279176
Bug ID: 1279176
Summary: Review Request: isis - Framework to access a large
variety of image processing libraries
Product: Fedora
Version: rawhide
Component: Package Review
Severity: medium
Priority: medium
Assignee: nobody(a)fedoraproject.org
Reporter: i.gnatenko.brain(a)gmail.com
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Spec URL: https://ignatenkobrain.fedorapeople.org/neurofedora/isis.spec
SRPM URL:
https://ignatenkobrain.fedorapeople.org/neurofedora/isis-0.7.9-1.fc24.src.r…
Description:
The ISIS project aims to provide a framework to access a large variety
of image processing libraries written in different programming
languages and environments.
Fedora Account System Username: ignatenkobrain
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https://bugzilla.redhat.com/show_bug.cgi?id=1291061
Bug ID: 1291061
Summary: Review Request: python-pyspike - Python library for
the numerical analysis of spiketrain similarity
Product: Fedora
Version: rawhide
Component: Package Review
Severity: medium
Priority: medium
Assignee: nobody(a)fedoraproject.org
Reporter: i.gnatenko.brain(a)gmail.com
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Spec URL:
https://ignatenkobrain.fedorapeople.org/neurofedora/python-pyspike.spec
SRPM URL:
https://ignatenkobrain.fedorapeople.org/neurofedora/python-pyspike-0.3.0-1.…
Description:
Python library for the numerical analysis of spiketrain similarity.
PySpike is a Python library for the numerical analysis of spike train
similarity. Its core functionality is the implementation of the bivariate ISI
and SPIKE distance as well as SPIKE-Synchronization. Additionally, it provides
functions to compute multivariate profiles, distance matrices, as well as
averaging and general spike train processing. All computation intensive parts
are implemented in C via cython to reach a competitive performance (factor
100-200 over plain Python).
Fedora Account System Username: ignatenkobrain
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https://bugzilla.redhat.com/show_bug.cgi?id=1288759
Bug ID: 1288759
Summary: Review Request: python-commit - Convex Optimization
Modeling for Microstructure Informed Tractography
Product: Fedora
Version: rawhide
Component: Package Review
Severity: medium
Priority: medium
Assignee: nobody(a)fedoraproject.org
Reporter: i.gnatenko.brain(a)gmail.com
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Spec URL:
https://ignatenkobrain.fedorapeople.org/neurofedora/python-commit.spec
SRPM URL:
https://ignatenkobrain.fedorapeople.org/neurofedora/python-commit-1.0-0.1.g…
Description:
The reconstructions recovered with existing tractography algorithms are not
really quantitative even though diffusion MRI is a quantitative modality by
nature. As a matter of fact, several techniques have been proposed in recent
years to estimate, at the voxel level, intrinsic micro-structural features of
the tissue, such as axonal density and diameter, by using multi-compartment
models. COMMIT implements a novel framework to re-establish the link between
tractography and tissue micro-structure.
Fedora Account System Username: ignatenkobrain
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https://bugzilla.redhat.com/show_bug.cgi?id=1280485
Bug ID: 1280485
Summary: Review Request: python-PyMVPA
Product: Fedora
Version: rawhide
Component: Package Review
Severity: medium
Priority: medium
Assignee: nobody(a)fedoraproject.org
Reporter: i.gnatenko.brain(a)gmail.com
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Spec URL:
https://ignatenkobrain.fedorapeople.org/neurofedora/python-PyMVPA.spec
SRPM URL:
https://ignatenkobrain.fedorapeople.org/neurofedora/python-PyMVPA-2.4.0-3.f…
Description:
PyMVPA is a Python package intended to ease statistical learning analyses of
large datasets. It offers an extensible framework with a high-level interface
to a broad range of algorithms for classification, regression, feature
selection, data import and export. It is designed to integrate well with
related software packages, such as scikit-learn, shogun, MDP, etc. While it is
not limited to the neuroimaging domain, it is eminently suited for such
datasets. PyMVPA is free software and requires nothing but free-software to
run.
PyMVPA stands for MultiVariate Pattern Analysis (MVPA) in Python.
Fedora Account System Username: ignatenkobrain
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