Results 1,461–1,470 of 18,669 for descr.zh_CN%3A%E9%81%8F%E5%88%B6%E5%9E%83%E5%9C%BE.(0.012 seconds)
C++ library of common design patterns
A C++ library of designs, containing flexible implementations of
common design patterns and idioms.
Callback-based program option parser for C#
NDesk.Options is a callback-based program option parser for C#.
C++ code generator for CPython extensions
Shiboken is a GeneratorRunner plugin that outputs C++ code for CPython
extensions.
Python-based WMS-C/TMS server
TileCache provides a Python-based WMS-C/TMS server, with pluggable
caching mechanisms and rendering backends.
HTML and CSS APIs for C++
htmlcxx is a simple non-validating css1 and html parser for C++.
Fast Sparse Nonnegative Least Squares Solver
libtsnnls is a fast solver for least-squares problems in the
form Ax = b under the constraint that all entries in the
solution vector x are non-negative.
C++ wrapper for Gtk+3
C++ wrapper for Gtk+, Pango and Atk.
Traceroute attempt logger and result spoofer
A program for faking the standard Unix UDP-based traceroute.
American English male voice, sampled at 16 kHz, for Festival
from the NetBSD maintainer:
This voice provides an American English male voice using a residual
excited LPC diphone synthesis method. It uses the CMU Lexicon
pronunciations. Prosodic phrasing is provided by a statistically
trained model using part of speech and local distribution of breaks.
Intonation is provided by a CART tree predicting ToBI accents and
an F0 contour generated from a model trained from natural speech.
The duration model is also trained from data using a CART tree.
This voice can be activated via (voice_ked_diphone) .
American English male voice, sampled at 8 kHz, for Festival
from the NetBSD maintainer:
This voice provides an American English male voice using a residual
excited LPC diphone synthesis method. It uses the CMU Lexicon
pronunciations. Prosodic phrasing is provided by a statistically
trained model using part of speech and local distribution of breaks.
Intonation is provided by a CART tree predicting ToBI accents and
an F0 contour generated from a model trained from natural speech.
The duration model is also trained from data using a CART tree.
This voice can be activated via (voice_ked_diphone) .