Search Results for "libhamlib-4"

...This is needed because KenLM doesn't support a make install step.wav2letter++ expects audio and transcription data to be prepared in a specific format so that they can be read from the pipelines. Each dataset (test/valid/train) needs to be in a separate file with one sample per line. A sample is specified using 4 columns separated by space (or tabs).

The Library is for Finite Transforms such as the Number Theoretic Transform (NTT) and Finite Radon Transform (FRT). Current modules include NTTW for NTTs with high resolution (microsecond) timing, basic array and imaging. The transforms are optimised for performance.

- - - T H I S P R O J E C T M O V E D T O G I T H U B - - - A framework for the implementation of advanced real-time control systems which uses signal/block-based schematics (like Simulink) extended by several features like state machines and online-exchangeable sub-simulations. Besides, this framework properly handles multiple threads, their communication, allows to synchronise control systems to external events (e.g. variable timers or incoming network packages) and provides...

That project aims at providing a clean API, and the corresponding C++ implementation, for choosing one item among a set of travel solutions, given demand-related characteristics (e.g., Willingness-To-Pay, preferred airline, preferred cabin, etc.).

further development of http://www.talp.upc.edu/index.php/technology/tools/45-textual-processing-tools/98-wordnet-mappings/

Flatland is the virtual environment developed to perform these investigations. Using Flatland as the base environment scientists can visualize and explore both their data and the computations that manipulate that data. Imagine, if you will, a scientist able to examine the real-time results of a simulation and, when he notices an anomally he would like to investigate, he turns to the program running the simulation and examines the code, possibly changing it on the fly. This is the dream...

RTSim is a simulator for real-time systems written in C++. It has been developed as an internal project at Scuola Superiore Sant'Anna as part of many research project, mainly thanks to the work of many PhD students.

Set of tools to compute the integrated information in a network.

Gradient pattern analysis (GPA)[http://en.wikipedia.org/wiki/Gradient_pattern_analysis] is a geometric computing method for characterizing symmetry breaking of an ensemble of asymmetric vectors regularly distributed in a square lattice.

gnplib is a library that provides functions to simulate network delays using Global Network Positioning. It is based on PeerfactSim (http://sourceforge.net/projects/peerfactsim/) developed at Technische Universität Darmstadt.

DASS-GUI is a graphical user interface for pattern search in non-sequential data.

BS Eagle Project is an open source black-oil simulator. The goal of this project is to provide a free access to the modern oil simulator to study new methods of simulation. The project has a modular architecture and open to modifications and extensions.

C4 is a C++ class library for analyzing sound files, particularly spoken and sung phonations. C4 provides features such as frequency analysis, pitch extraction, or calculation of voice quality parameters (e.g. alpha ratio, HNR, jitter, etc.).

The BioloidNativeInterface is a C++ library to control bioloid/dynamixel modules including AX12, AXS1. It provides a parser for the bioloid protocoll and methods to read/write packets.

A large-scale peer-to-peer streaming simulator

A generic, vendor-independent open-source application to determine the performance of a pub-sub infrastructure.

An efficient and easy-to-use C++ library containing classes to represent and manipulate graphs and digraphs. Additional vertex and edge/arc property structures are provided that can be synchronized with the graph structure dynamically.

DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary...