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libterralib3t64

C++ library for Geographical Information Systems

TerraLib enables quick development of custom-built geographical applications using spatial databases. As a research tool, TerraLib is aimed at providing a rich and powerful environment for the development of GIS research, enabling the development of GIS prototypes that include new concepts such as spatio-temporal data models, geographical ontologies and advanced spatial analysis techniques. TerraLib defines a geographical data model and provides support for this model over a range of different DBMS (MySQL, PostgreSQL, ORACLE and ACCESS), and is implemented as a library of C++ classes and functions, written in ANSI-C++.

libllvmspirvlib17

bi-directional translator for LLVM/SPIRV -- shared library

SPIRV-LLVM-translator is a LLVM/SPIRV bi-directional translator. This package includes a library and a tool for translation between LLVM IR and SPIR-V.

libghc-hslua-module-zip-prof

Lua module to work with file zips; profiling libraries

Module with functions for creating, modifying, and extracting files from zip archives.

libghc-hslua-module-doclayout-prof

Lua module wrapping Text.DocLayout; profiling libraries

Lua module wrapping the doclayout Haskell package.

tntdb-sqlite5

SQLite backend for tntdb database access library

This library provides a thin, database independent layer over an SQL database. It lacks complex features like schema queries or wrapper classes like active result sets or data bound controls. Instead you get to access the database directly with SQL queries. The library is suited for application programming, not for writing generic database handling tools.

r-cran-rose

GNU R random over-sampling examples

Functions to deal with binary classification problems in the presence of imbalanced classes. Synthetic balanced samples are generated according to ROSE (Menardi and Torelli, 2013). Functions that implement more traditional remedies to the class imbalance are also provided, as well as different metrics to evaluate a learner accuracy. These are estimated by holdout, bootstrap or cross-validation methods.