Aperture is a Java framework for extracting and querying full-text content and metadata from various information systems (e.g. file systems, web sites, mail boxes) and the file formats (e.g. documents, images) occurring in these systems.
FUBAR uses the statistical technique "Kriging" to rescale images with an global geometric pattern, called the variogram.
The image can be infinitely rescaled: the estimates ('o' on the left figure) are calculated from five neighbouring samples of the source image ('+' on the left figure). The image is 'noisy' because each pixel is a realization of the estimated value. In other words, each pixel is a random value with a mean and a variance from the local distribution. By changing the variogram (press 'v') or the variance multiplier, it is possible to control that variance.
Clicking the left mouse button zooms in on the image and right-click zooms the image back out. Press SPACEBAR to accept the current realization as the 'source image' -this will reduce noise at small scales.
Neuroph is lightweight Java neural network framework to develop common neural network architectures. It contains well designed, open source Java library with small number of basic classes which correspond to basic NN concepts. Also has nice GUI neural network editor to quickly create Java neural network components. It has been released as open source under the LGPL license, and it's FREE for you to use it.
JMock is a library that supports test-driven development1 of Java2 code with mock objects3.
Mock objects help you design and test the interactions between the objects in your programs.
The jMock library:
* makes it quick and easy to define mock objects, so you don't break the rhythm of programming.
* lets you precisely specify the interactions between your objects, reducing the brittleness of your tests.
* works well with the autocompletion and refactoring features of your IDE
* plugs into your favourite test framework
* is easy to extend.
memcached is a high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.
eportfolio
collect, reflect on and share your achievements and development online, in a space you control
networking
create online communities and social network through Groups, Blogs and Forums
open source
built on open source and open principles. Interoperate out of the box with Moodle
Sphinx is a full-text search engine, distributed under GPL version 2. Commercial license is also available for embedded use.
Generally, it's a standalone search engine, meant to provide fast, size-efficient and relevant fulltext search functions to other applications. Sphinx was specially designed to integrate well with SQL databases and scripting languages. Currently built-in data sources support fetching data either via direct connection to MySQL or PostgreSQL, or using XML pipe mechanism (a pipe to indexer in special XML-based format which Sphinx recognizes).
As for the name, Sphinx is an acronym which is officially decoded as SQL Phrase Index. Yes, I know about CMU's Sphinx project.
The Grinder is a JavaTM load testing framework that makes it easy to run a distributed test using many load injector machines. It is freely available under a BSD-style open-source license.
The latest news, downloads, and mailing list archives can be found on SourceForge.net.
Key features
* Generic Approach Load test anything that has a Java API. This includes common cases such as HTTP web servers, SOAP and REST web services, and application servers (CORBA, RMI, JMS, EJBs), as well as custom protocols.
* Flexible Scripting Tests are written in the powerful Jython scripting language.
* Distributed Framework A graphical console allows multiple load injectors to be monitored and controlled, and provides centralised script editing and distribution.
* Mature HTTP Support Automatic management of client connections and cookies. SSL. Proxy aware. Connection throttling. Sophisticated record and replay of the interaction between a browser and a web site.
See the longer features list for further details.
SCPSolver should enable a Java developer to use Linear Programming in less than 10 minutes.
Most solvers for linear programs are implemented in C/C++ for performance reasons. Java developers can use JNI interfaces for some solvers. However most interfaces are pretty difficult to setup, and lock the developer in to a specific solver. SCPSolver was developed to overcome those issues. The library has the following features:
easy to deploy on Linux, Mac Os X and Windows with prebuilt linear programming libraries (almost dependency-free)
plugin-concept: write model, use different solvers to solve it
currently supported solvers:
GLPK
lpsolve
CPLEX (solver pack must be built by script by user)
low learning curve: very simple, no-frills API
other features: implementation of sparse matrices and graphs, debugger for linear programs, prebuilt models for common optimization problems like set cover, ...