Search Results for "python 2" - Page 12
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Showing 321 open source projects for "python 2"
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Eve is a AI project written in python that takes commands verbally or textually to control the computer and eveyday functions.
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PolyPlanet is an evolutionary playground inspired by Polyworld. It uses genetic algorithms to evolve the world and its inhabitants. Current inhabitants include PolyPlants, PolyTrees, and PolyDudes that have neural network brains which also evolve.
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uListen is a TTS(Text To Speech) application. It can TALK you the web pages, chm files, pdf files and word files and plain text files.
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AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)
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PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.
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A knowledge base engine for Python built on F-Logic. It uses the FLORA-2 reasoning engine and provides permanent storage through ZODB. Logic programming concepts like logical variables, facts, rules and queries are included.
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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.
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META is a decision making software which aims are to track computer attackers, computer attacks and to help investigators finding useful elements.
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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.
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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
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Allows approximate mapping between two different ontologies. The mapping is obtained combining sets of matchers that compare different features of elements from the two ontologies.
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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.
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We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".
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This project gives you a simple 2D world for playing with Artificial Intelligent actors. It contains of a world with objects. And a simple game, pyRugby, demonstrating the use of this world. All built in Python, using pygame for visualization.
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General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.
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GoMad is a speech recognition system that allows you to control windows-based applications using your voice as input, instead of your mouse and keyboard.
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Zerorule is a lite rule engine/expert system that implements the RETE algorithm which can improve the speed of forward-chained rule system. It is written entirly in the powerful python language. it supplies both a script interpreter and simple CLI.
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Collection of Python scripts providing interactions between the sociological investigation platform and webservices (such as NLP, search engine, web database).
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pystats is a comprehensive Python module implementing algorithms for statistics and information theory, including probability distributions, descriptive statistics, analysis of variance, regression, and inference.
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Robotic Manipulator Development and Simulation Environment in Python and Blender. IMPORTANT: Development moved to github. http://github.com/ajnsit/r2d3
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Mental is a neural network engine implemented in pure Python. Design goals are easy-to-read source code, completeness, and ease of use. Presently implements feed-forward, back-propagation networks. Intended primarily for instructional use.
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If you build some artificial mind, do not try to program it like a computer. Build it, turn it on, and begin teaching it.