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PyLife is an implementation of the game of life algorithm featuring parallel programming. It uses MPI and python to achieve a consistent software architecture and reliably performance.
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.
JIMO(Java-based Instant Messenger One), supports multiple protocols via services, including AIM, MSN, Yahoo, IRC. It is flexible through its plugin architecture, with an intelligent agent, Chatbot.
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An AI sandbox for learning game programming. It includes an integrated development environment, and functionality for rapid development of virtual characters.
SenseRank Sys:
- builds the dictionaries (multidim matrices) of words’ values;
- for the set utterance in certain language builds a figure in multidimensional space (in the matrix space) of values (visual schema), which is topological view of sense
WHEREAMI is an intelligent and self-learning network detection and configuration utility. With this capability, a user can just walk to a network range and WHEREAMI will self determine and connect to that network with relevant policies.
pyDATR is an implementation of the DATR language written in Python and usable as Python library. It provides a means for persistence and some extensability with Python functions.
Software tool that emphasizes useful information, communication, and intent. Accomplish any conceivable computer task by transforming fuzzy abstract data-structures in a fractal vector graphics user interface.
Sakura is a Knowledge Navigator and User Interface for UNIX, which implements HyperMedia and its own windowing and packing system, both in the main program and in an extensive API for Tcl and other languages.
A neural net module written in python. The aim of the project is to provide a large set of neural network types accessed by an API that is easy to use and powerful.
Educational game framework supporting board games, strategy games, and other grid-based game boards. Currently uses Python/wxPython as the application language/library. C++ libs included to help create AI for the various games.
FEAR is a development kit helping software engineers create advanced artificial intelligence in synthetic characters with simplicity and efficiency. The project includes reusable AI components, portable framework and interfaces to realtime 3D games.
FramerD is a distributed semi-structured object database originally developed at MIT. It provides an internationalized Scheme-based scripting language, built-in text analysis tools, and special support for web scripting.
Zeus Grid is a Grid Computing environment usefull to run systems in heterogenous machines at same time. In this first step, it will only compile, run and collect application results and file storage.
Decision Analysis is an easily-extensible expert system to help users make decisions of all types.
Written entirely in Python, Decision Analysis, at this time, contains a general decsion module, which uses a weighted average technique to evaluate use
Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
java-based complete Agent (Artificial Intelligence) Framework with all the features you might expect in an Agent Framework: Mobility, Autonomy, Distributed communication, Agents can be written in Java, Jython, or Beanshell.
Project to Design and Implement a new programming language.
The language is named Hybrid (c), as it's nature.
We "build on" existing languages (Python & others), and not start from scratch (as C++ builds on C). see Docs.
A chatbot framework currently implementing the ErkiTalk and irc protocol. By specifying parsers for the server's input one can easily create custom bots (if one can program in java of course ;).
Generic engine to filter information.
We wish to show that the power of expression of a filter makes it possible to appreciably reduce the size of the code necessary to extract information and that it is possible in Python.