libqgis-native3.34.13
QGIS - shared native gui library
QGIS is a Geographic Information System (GIS) which manages, analyzes and
display databases of geographic information.
libmkl-gf
Intel® MKL: (ia32) Interface library for the GNU Fortran compiler
Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
optimized, extensively threaded routines for applications that require
maximum performance.
qtile
Small, simple, extensible X11 window manager written in Python
Qtile is:
* simple, small and extensible. It's easy to write your own layouts,
widgets and built-in commands.
* configured entirely in Python.
* command-line shell that allows all aspects of Qtile to be manipulated and
inspected.
* complete remote scriptability - write scripts to set up workspaces,
manipulate windows, update status bar widgets and more.
* unit tested. Qtile's scriptability has made thorough unit testing
possible, making it one of the best-tested window managers around.
r-cran-cpp11
C++11 interface for GNU R's C interface
Provides a header only, C++11 interface to R's C
interface. Compared to other approaches 'cpp11' strives to be safe
against long jumps from the C API as well as C++ exceptions, conform
to normal R function semantics and supports interaction with 'ALTREP'
vectors.
libcreaterepo-c1
library for creating RPM repository metadata
The createrepo tool generates the repodata directory and XML metadata that
makes up a repository of RPM packages. This repository format is supported
by apt-rpm, red-carpet(zen), smartpm, up2date, yast, and yum.
r-cran-mlr
Machine learning in GNU R
Interface to a large number of classification and regression
techniques, including machine-readable parameter descriptions. There is
also an experimental extension for survival analysis, clustering and
general, example-specific cost-sensitive learning. Generic resampling,
including cross-validation, bootstrapping and subsampling. Hyperparameter
tuning with modern optimization techniques, for single- and multi-objective
problems. Filter and wrapper methods for feature selection. Extension of
basic learners with additional operations common in machine learning, also
allowing for easy nested resampling. Most operations can be parallelized.