Search Results for "java open source projects"

...this project space has been established so we can all help eachother with software development. in other words, we're here for the learning experience. i will always give my source code so that you may study it and practice it yourself and/or provide constructive feedback so you can help me learn how I can make improvements. for a complete list of my software featuring Windows, Linux, and FreeBSD just go to Files. > https://sourceforge.net/projects/freeware/files/ final note: this learning space assumes that you already have support for **7zip** and **.tar.gz** archives. if you don't, please go get it...

fPotencia is the fruit of free time and passion for power systems simulation. After observing the lack of ready-to-implement libraries for power system analisys, and that the existing ones focus on command line workflow, I decided myself to start a project to fill the gap. Since Power system simulations have started needing to be executed in parallel, the old C-like designs are outdated; modular design is now needed to launch many simulations at the same time based on a base...

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.

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.

l-system implement for my other projects.

The project contains algorithms for locating the most central groups in complex networks. In particular implementations of various centrality measures and heuristic search algorithms. All functionality is exposed via XML-RPC for easier exploitation.

Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other