Search Results for "source-han" - Page 100
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Showing 2672 open source projects for "source-han"
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Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
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Spirit, a different way to write! You guide your mouse through streams of predicted words. As the intelligent agent learns your writing style, its predictions become more accurate. You can prime Spirit with the prose and poetry of any author!
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iFriend stands for "Imaginary Friend". It is a multi-protocol chatbot distributed under the GPLv3. A very powerful plugin system, multi language support and a simple configuration are only some features of this chat bot.
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Both forward-chaining and backward-chaining rules (which may include python code) are compiled into python. Can also automatically assemble python programs out of python functions which are attached to backward-chaining rules. See pyke.sourceforge.ne
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The Python Computer Vision Framework is an opened project deisgned for all those interested in computer vision. It aims at making computer vision more easy and structured and matlab-free. It may also be used for other artistic and scientific areas.
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Ask Minerva is a chat-bot that is intended to be used as a "Cardboard analyst". (IE: A person who a developer explains a problem to as a way of examining their own reasoning)
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Rhea Genetic Engine is a highly versatile software engine used to solve ill-defined, abstract problems by employing a genetic pattern. It is easy to understand and use, yet provides advanced features for those who desire them.
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:awsum: You lost the game.
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Naimath (syn. blessing) is a project to create tools for diagnosis, management of clinical cases in the form of Rule based Medical Expert System integrating Interactive Health education, Semantified EMR, and serve as a learning tool for students. Website seen at www.naimath.com
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Based on the introduction of Genetic Algorithms in the excellent book "Collective Intelligence" I have put together some python classes to extend the original concepts.
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Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.
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PyCV is a Python package of modules useful for computer vision tasks. Its current focus is on boosting techniques, Haar-like features, and face detection. PyCV provides the world's fastest method for training a face detector, in a few hours.
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The CMU personal robotics package offers many robotics algorithms/controllers/drivers that enable robots to perform basic tasks like manipulation and vision. The main infrastructure used is OpenRAVE and Robot Operating System (ROS).
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The WU personal robotics package is a collection of robotics middleware developed by WashU faculty, students, and staff.
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Onyx is for rapid prototyping and large-scale experimentation on advanced machine-learning algorithms with an emphasis on algorithms for online or streaming analysis, modeling, and classification.
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A program for school children to practice mental calculation. The output can be text or spoken using text to speech.
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Monte is machine learning in pure Python. Monte's focus is the construction of gradient based learning machines from many small components.
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ReactiveAI is an attempt to create an artificial intelligence system that allows the involved entities to detect and respond to stimuli from other entities and the environment.
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Behaviours provide a way to quickly author reusable sequences of actions for use in the PaSSAGE framework, or any Neverwinter Nights module. The Behaviour Tool is a tool for the creation and management of behaviours.
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Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks.
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A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.