6 projects tagged "Artificial Intelligence"
Updated 10 Oct 2007
FlowDesigner
| Pop | 178.02 |
|---|---|
| Vit | 6.11 |
FlowDesigner is a data flow-oriented development environment. It can be used to build complex applications by combining small, reusable building blocks. In some ways, it is similar to both Simulink and LabView, but is hardly a clone of either.
Updated 26 Jan 2004
OMCSNetCPP
| Pop | 61.64 |
|---|---|
| Vit | 1.76 |
OMCSNetCPP is a C++ API and inference toolkit for accessing OMCSNet, a semantic network mined out of the Open Mind Common Sense knowledge base. The goal of this project is to provide a class library that allows programmers to easily add common sense reasoning capabilities to C++ applications.
Updated 08 Oct 2003
LinkGrammar-WN
| Pop | 62.21 |
|---|---|
| Vit | 1.00 |
LinkGrammar-WN is a lexicon expansion for the Link Grammar Parser. The Link Grammar Parser is a syntactic parser of the English language that is capable of handling a wide variety of syntactic constructions and is considered quite robust. The LinkGrammar-WN project aims to import lexical information from WordNet in an effort to increase the size of the LGP lexicon. This project is of interest to anyone interested in NLP (natural language parsing) of English text.
Updated 01 Oct 2003
OMCSNet-WordNet
| Pop | 61.07 |
|---|---|
| Vit | 2.00 |
The OMCSNet-WordNet project aims to improve the quality of the OMCSNet dataset by using automated processes to map WordNet synonym sets to OMCSNet concepts and import additional semantic linkage data from WordNet. It is based on OMCSNet 1.2, a semantic network and inference toolkit written in Python/Java. OMCSNet currently contains over 280,000 separate pieces of common sense information extracted from the raw OMCS dataset. This project is also based on WordNet, an online lexical reference system that in recent years has become a popular tool for AI researchers.
Updated 04 Sep 2002
Allegro Common Lisp
| Pop | 40.20 |
|---|---|
| Vit | 1.00 |
Allegro Common Lisp is a full ANSI Common Lisp (1994) implementation. It contains many extensions, including 32- and 64-bit native compilation, efficient built-in memory management, foreign functions (for interfacing with other languages), multiprocessing, UNICODE and locale support, XML/HTML parsers, a Web client and server, GTK+ interface (1.2 and 2.0), Java interface, OLE interface (Windows only), profiler, regular expressions, an XML RPC implementation, native Lisp RPC, sockets, DLL and shared library support, and more.
Updated 26 Jun 2001
EASEA
| Pop | 48.58 |
|---|---|
| Vit | 1.42 |
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.
