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SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

In some data processing tasks we need to use huge maps or sets that are bigger than available JVM heap space or they are loading too slow to standard Java or Scala Maps. We use TSV format (text file with tab separated columns) for persist this kind of Maps or Sets. Some columns are used as a key and rest of columns as a value. Idea of this library is simple. We can prepare these maps once (sort by key), store it to file and then use it as memory mapped file. Searching key in sorted file has log(n) complexity. If more processes uses the same memory mapped file, it exists in memory just once (on Linux). This file can be loaded lazy by OS.

RBFNetwork implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provide the basis functions and learns either a logistic regression (discrete class problems) or linear regression (numeric class problems) on top of that. Symmetric multivariate Gaussians are fit to the data from each cluster. If the class is nominal it uses the given number of clusters per class. RBFRegressor implements radial basis function networks for regression, trained in a fully supervised manner using WEKA's Optimization class by minimizing squared error with the BFGS method. It is possible to use conjugate gradient descent rather than BFGS updates, which is faster for cases with many parameters, and to use normalized basis functions instead of unnormalized ones.

The biblio transformation engine is a java framework developed by the Hellenic National Documentation Centre (EKT, www.ekt.gr) and consists of programmatic APIs for filtering and modifying records that are retrieved from various types of data sources (eg. databases, files, legacy data sources) as well as for outputing them in appropriate standards formats (eg. database files, txt, xml, Excel). The framework includes independent abstract modules that are executed seperately, offering in many cases alternative choices to the user depending of the input data set, the transformation workflow that needs to be executed and the output format that needs to be generated.

'Benerator' is a framework for creating realistic and valid high-volume test data, used for testing (unit/integration/load) and showcase setup. Metadata constraints are imported from systems and/or configuration files. Data can imported from and exported to files and systems, anonymized or generated from scratch. Domain packages provide reusable generators for creating domain-specific data as names and addresses internationalizable in language and region. It is strongly customizable with plugins and configuration options.