Search Results for "simple library"

...The simple class uses the header date and time to set the clock. NTP-based time class written by Fabrice Weinberg. We fixed many bugs and improved performance and changed the API a little bit. Either compare your code to the updated WeatherStationDemo or read through the upgrade guide.

SigPack is a C++ signal processing library using the Armadillo library as a base. The API will be familiar for those who has used IT++ and Octave/Matlab.

The Institute of Navigation* (ION) is a technical society specialising in navigation-related topics. The produce an academic journal and several conferences for both academia and industry. Unfortunantly, they offer no "export citation" functionalty for those that manage their papers using BibTeX (or other citation manager). This project is a simple screen scraper to extract the nessessary citation information and format it as a BibTeX citation. --- * N.B. This project is not...

This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects.

Simple POSIX multithread Ant Colony Optimizer framework currently for solving Vehicle Routing Problem. Supports UDP, file synchronizatoin between computers.

talc is a terminal calculator designed with very large number support and a simple grammar. It is designed to be both scriptable and interactive.

Vijner 974 E-Sys (2048 bits and unlimited encryption). Enables easy (un-)encryption from text input or .txt file, and to (un-)encrypt raw files, with Vigenère Algorithm + unlimited encryption keys. Simple and powerful. Adapt to fit your needs.

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.