Open Source PHP Artificial Intelligence Software for Mac

DL-Learner is a tool for learning concepts in Description Logics (DLs) from user-provided examples. Equivalently, it can be used to learn classes in OWL ontologies from selected objects. As of August 2014, the source code management of DL-Learner has moved to Github: https://github.com/AKSW/DL-Learner Please use this for the latest code and issue tracking and the website (http://dl-learner.org) for general information.

A.I. security app. Development ceased.

Thank you for your interest in Speedy Composer. Speedy Composer is an automated application for composing melodies for Speedy Net members. We recently made changes to the source code of Speedy Net, and converted it into the Python language and Django framework. Since Speedy Composer was originally written in PHP, it is not adapted to work with Speedy Net in its current form. So unfortunately we were forced to temporarily close the app Speedy Composer. But don't worry, we kept backups of all the tunes composed by Speedy Composer, and when the website is reopened we will upload them to the new site. Speedy Composer and Speedy Net are open source applications, free software. We are currently looking for volunteers to help us convert Speedy Composer to Python. If you are interested in volunteering, please contact me by email. Thank you and good luck, Uri Rodberg Founder and Director of Speedy Net and Speedy Composer, Speedy Paz Technologies Ltd. uri@speedy.net

It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.

CRML - Conflict Resolution Markup Language - http://www.equiforum.org - is an open source innitiative to develop an XML based Semantic Web ontology (RDF, OWL) for researchers interested in peace to create a standard way of collecting and sharing informa

The FreeMarket Application project has stopped development, but the ideas presented in the project are now being manifested in other software.

HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.

JavaRisk v2 is a strategic game roughly based on the board game Risk. The game features network support for multiplayer games, hot-seat sessions for playing with friends on one PC & a challenging Ai. We also provide an implementation of the original Risk

Hi, we are introducing you something new - ZZZ Knowledge Base. This is a base which stores knowledge in the form of nested sets, each set can contain a virtually unlimited number of elements and, in turn, each element can contain multiple elements. The access time from multiple ELEMENT NOT DEPEND ON THE NUMBER OF ITEMS IN IT AND PRACTICAL instantaneous! The access to knowledge base is realized through a "server" to which you can connect an unlimited number of "clients" as one computer can run multiple servers that are located in different folders and listen to different ports. Each server can create and access the unlimited knowledge bases and databases associated with other servers located on the Internet or Intranet. Knowledge bases managed by artificial intelligence language, such as executable code can be written as in external files and in the elements of the base. The Knowledge Base is powerful enough, it can be used for indexing web contents.

A Distributed Web Search System bassed on current high level nerual network ai for the rating algorithum and search direction.

Service Grid is an infrastructure for accumulating and sharing Web services. Resources with complicated intellectual property issues are wrapped as Web services and shared on the Service Grid. If you release your software by using the software of this project, please include the following description in the documents or on the website. * This software uses the [SOFTWARE] by the Language Grid project (http://langrid.org/). [SOFTWARE] is one of: * Service Grid Server Software (http://langrid.org/oss-project/en/service_grid.html) * Language Service Development Libraries (http://langrid.org/oss-project/en/language_service.html) * Language Grid Toolbox (http://langrid.org/oss-project/en/toolbox.html) If you publish a paper by using the software of this project, please cite the following book. * Toru Ishida Ed. The Language Grid: Service-Oriented Collective Intelligence for Laguage Resource Interoperability. Springer, 2011. ISBN 978-3-642-21177-5.

Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.

Voice Conference Manager uses VoiceXML and CCXML to control speech recognition, text to speech, and voice biometrics for a telephone conference service. Say the names or numbers of people and VCM places them into the call. Can be hosted on public servers

This is implementation of CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. CommitBERT is accepted in ACL workshop : NLP4Prog. Have you ever hesitated to write a commit message? Now get a commit message from Artificial Intelligence! CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural language (Code Documentation Generation). We can use CodeBERT to create a model that generates a commit message when code is added. However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab.