114 projects tagged "Artificial Intelligence"
BioJava aims to provide a comprehensive set of Java components for the rapid development of applications in Bioinformatics. It contains interfaces for representing Sequences, Features, and other important bioinformatics concepts. It can also read and write sequence data in a variety of common formats and communicate with Ensembl databases and with DAS and BioCorba servers.
Ciao is a complete Prolog system subsuming ISO-Prolog with a novel modular design which allows both restricting and extending the language. Ciao extensions currently include feature terms (records), higher-order, functions, constraints, objects, persistent predicates, a good base for distributed execution (agents), and concurrency. Libraries also support WWW programming, sockets, and external interfaces (C, Java, TCL/Tk, relational databases, etc.). An Emacs-based environment, a stand-alone compiler, and a toplevel shell are also provided.
Narval is a framework dedicated to the setting up of intelligent personal assistants (IPAs). It includes a language, an interpreter, and a GUI/IDE. It is based on artificial intelligence and agent technologies. It executes recipes (sequences of actions) to perform tasks. It is easy to specify new actions using XML and to implement them using Python. Recipes can be constructed graphically (without programming) by linking blocks representing the actions.
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka is also well-suited for developing new machine learning schemes. The development version contains a GUI with visualization tools and direct database access.
Jude is a rapid application development tool to develop data management workgroup applications that easy-to-maintain for developers and easy-to-use for end users. It is based on a knowledge base with an object oriented structure on the server side and a compound document agent-based user interface on the client side.
Linguaphile is a simple command line language translator. It is open source, platform independent, and programmed in Perl. Linguaphile currently supports the following languages: Afrikaans, Alawa, Albanian, Arrernte, Basque, Belarusian, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch, English, Esperanto, Estonian, Finnish, French, Galician, German, Greek, Hawaiian, Hungarian, Icelandic, Indonesian, Interlingua, Irish, Italian, Kala Lagaw Ya, Korean, Kriol, Latvian, Lithuanian, Malay, Maltese, Maori, Norwegian, Pitjantjatjara, Polish, Portuguese, Romanian, Russian, Samoan, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Thai, Tok Pisin, Turkish, Ukrainian, Warlpiri, and Welsh. The Spanish to English translation is the most useful at this stage.
EAsea Specification of Evolutionary Algorithms (EASEA), is a high-level language dedicated to the specification of evolutionary algorithms. The language and compiler are quite mature. EASEA compiles .ez specification files into C++ or Java object files, using existing evolutionary libraries. Supported C++ libraries currently are GALib or EO.
PyStem is a fast Python module with the the Porter stemming algorithm (a process for removing the commoner morphological and inflexional endings from words in English; its main use is as part of a term normalisation process that is usually done when setting up Information Retrieval systems).
A massive parallel-processing computing platform that solves big data problems.