Erudite is an application for training and testing back propogation neural networks using the ANNeML (Artifical Neural Network Markup Language) XML format. It supports testing and training neural nets with CSV files and has support for randomized training sets, optional adapting learning rate, sigmoid or hyperbolic tangent transfer functions, optional bias and weight adjustment locking, and more.
FreeFuzzyTime is a time reasoner based on Fuzzy Temporal Constraint Networks (FTCN), which treats fuzzy temporal information efficiently. It can be integrated into applications for diagnosis. This is especially important in areas like Intensive Care Units, where patients' data are handled by a temporal database. FuzzyTime uses a structure which consists of three levels of abstraction. The upper layer is the user interface, where a translator transforms the expressions introduced by the user into temporal relations between temporal entities (points and intervals). The semantics of a user’s expressions are analyzed and stored in the intermediate layer, or temporal world. Finally, the bottom layer is based on the FTCN model.
Open Grid Scheduler/Grid Engine is a batch-queuing system for distributed resource management. It is used by many high-performance clusters and computation farms. Together with basic batch job scheduling, it supports advance reservation, array jobs, parallel make, parallel job management, and GPU management.
Maveryx is an automated functional testing tool. It provides testers with automated testing capabilities for functional testing, regression testing, GUI testing and data-driven testing. It does not require you to pre-record or capture any GUI Maps (or ‘Test Object Maps’) to create and run tests. During test execution, Maveryx takes ‘snapshots’ of the application user interface and automatically identifies the UI Objects to test. The tool includes fuzzy matching algorithms to unambiguously locate objects at runtime, even if the objects have changed since test creation. Maveryx also provides the ability to automate keywords, to validate dynamic data, to create data-driven tests, and to support custom controls. It is platform independent and runs as a standalone application or as an Eclipse plugin.
Son of Grid Engine is a highly-scalable and versatile distributed resource manager for scheduling batch or interactive jobs on clusters or desktop farms. It is a community project to continue Sun's Grid Engine. It is competitive against proprietary systems and provides better scheduling features and scalability than other free DRMs like Torque, SLURM, Condor, and Lava.
GRAL is a library for creating high quality plots and charts in Java. Many plot types are available like scatter plot, bubble plots, line plots, area plots, pie charts, and bar charts. Additionally, GRAL can exchange and process data (smoothing), and various plug-ins allow the import and export of data and graphics to formats like CSV, JPEG, PNG, EPS, PDF, or SVG.
iLAP (Laboratory data management, Analysis, and Protocol development) is a workflow-driven information management system specifically designed to create and manage experimental protocols and to analyze and share laboratory data. The system combines experimental protocol development, wizard-based data acquisition, and high-throughput data analysis into a single, integrated system.
The Java Algebra System (JAS) is an object oriented, type safe, multi-threaded approach to computer algebra. JAS provides a well designed software library using generic types for algebraic computations implemented in the Java programming language. The library can be used as any other Java software package, or it can be used interactively or interpreted through a Jython or JRuby front end. The focus at the moment is on commutative and solvable polynomials, power-series, multivariate polynomial factorization, Gröbner bases, and applications.
jblas is a fast linear algebra library for Java. It is based on BLAS and LAPACK, the de-facto industry standard for matrix computations, and uses state-of-the-art implementations like ATLAS for all its computational routines, making it very fast. It is essentially a lightweight wrapper around the BLAS and LAPACK routines. These packages originated in the Fortran community, which explains their archaic API. On the other hand, modern implementations are hard to beat performance-wise. jblas aims to make this functionality available to Java programmers such that they do not have to worry about writing JNI interfaces and calling conventions of Fortran code.