rdf2rml
convert RDF data to either R2RML script or PlantUML diagram
The rdf2rml project provides two command-line tools:
* rdf2rml - convert RDF example to R2RML script
* rdfpuml - convert RDF to PlantUML diagram
libxnnpack0.20241108
High-efficiency floating-point neural network inference operators (libs)
XNNPACK is a highly optimized library of floating-point neural network
inference operators for ARM, WebAssembly, and x86 platforms. XNNPACK is not
intended for direct use by deep learning practitioners and researchers; instead
it provides low-level performance primitives for accelerating high-level
machine learning frameworks, such as TensorFlow Lite, TensorFlow.js, PyTorch,
and MediaPipe.
xfconf-gsettings-backend
utilities for managing settings in Xfce - gsettings backend
xfconf contains xfconfd and xfconf-query.
- xfconfd handles the Xfce settings storage
- xfconf-query enables users to tune settings from command line
firebuild
Automatic build accelerator cache
It works by caching the outputs of executed commands and replaying the
results when the same commands are executed with the same parameters
within the same environment.
libfst26
weighted finite-state transducers library (runtime)
OpenFst is a library for constructing, combining, optimizing, and searching
weighted finite-state transducers (FSTs). Weighted finite-state transducers
are automata where each transition has an input label, an output label, and a
weight. The more familiar finite-state acceptor is represented as a transducer
with each transition's input and output label equal. Finite-state acceptors
are used to represent sets of strings (specifically, regular or rational
sets); finite-state transducers are used to represent binary relations between
pairs of strings (specifically, rational transductions). The weights can be
used to represent the cost of taking a particular transition.
libjavascriptcoregtk-5.0-0
JavaScript engine library from WebKitGTK
JavaScriptCore is the JavaScript engine used in WebKit. It consists
of the following building blocks: lexer, parser, start-up interpreter
(LLInt), baseline JIT, a low-latency optimizing JIT (DFG), and a
high-throughput optimizing JIT (FTL).