Search Results for "artificial intelligence python" - Page 81

3403 projects for "artificial intelligence python" with 1 filter applied:

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  • 1
    Agent Factory is an open and extensible framework for developing and deploying agent systems that provides a FIPA-based distributed Run-Time Environment that supports the deployment of diverse agent types, ranging from bespoke, reactive to deliberative.
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  • 2
    An open source optical flow algorithm framework for scientists and engineers alike.
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  • 3
    GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).
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  • 4
    Ampare Read Books Records

    Ampare Read Books Records

    Record which book you read , how many page , status , progress and mor

    Ampare Read Books Records is a console software written in python that automatically track which book already read , how many page , status , progress , delete and more. Coming to Launchpad PPA soon . Need some help
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  • 5

    Sunsetter

    Sunsetter, a chess, crazyhouse, and bughouse playing program

    A Bughouse/w24 and Crazyhouse/w23 playing program. C++ , Linux/Windows, GPL. Also available in precompiled packages to start playing right away.
    Downloads: 1 This Week
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  • 6
    MATSim
    MATSim is a framework for building multi-agent transport simulations. MATSim has moved to GitHub: https://github.com/matsim-org/matsim Source code and newer releases are now hosted at GitHub!
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  • 7
    BagaturChess

    BagaturChess

    Java Chess Engine

    This is UCI Chess Engine writen in Java. Since version 1.4 (inclusive) the project was moved to https://github.com/bagaturchess/Bagatur
    Downloads: 3 This Week
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  • 8
    MicroGP

    MicroGP

    A multi-purpose extensible self-adaptive evolutionary algorithm

    MicroGP (µGP, ugp) is a versatile optimizer able to outperform both human experts and conventional heuristics in finding the optimal solution of hard problems. It is an evolutionary algorithm since it mimics some principles of the Neo-Darwinian paradigm. ⚠️ A new version is available on https://github.com/squillero/microgp4
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  • 9
    OpenCCG, the OpenNLP CCG Library, is a collection of natural language processing components and tools which provide support for parsing and realization with Combinatory Categorial Grammar (CCG).
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  • 10
    Hubot Scripts

    Hubot Scripts

    Optional scripts for hubot, opt in via hubot-scripts.json

    hubot‑scripts is a now‑deprecated repository containing a curated collection of community‑contributed scripts for Hubot, GitHub's chat‑ops bot, allowing users to extend its functionality easily. Any third-party dependencies for scripts need the addition of your package.json otherwise, a lot of errors will be thrown during the startup of your hubot. You can find a list of dependencies for a script in the documentation header at the top of the script. The best way is to take a look at an...
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  • 11
    Repl.it

    Repl.it

    Online REPL for 15+ languages

    This repository preserves an early open-source snapshot of the service that became Replit, a platform for writing and running code directly in the browser. The project’s core idea is instant, zero-setup programming: open a page, pick a language, type, and run—no local installs or environment wrangling. It combines an in-browser editor with a runnable backend or sandbox so code can execute safely and return output in seconds. Sharing and collaboration are first-class: code can be saved,...
    Downloads: 1 This Week
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  • 12
    CArtAgO is a framework for programming and executing virtual environments in multi-agent programs.
    Downloads: 1 This Week
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  • 13
    Twitter Research Data Collector
    It gives facility of collecting tweets through Twitter Streaming API w.r.t different search criteria and to save tweets in CSV and ARFF (WEKA) file formats.
    Downloads: 0 This Week
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  • 14
    Behaviour Control Framework

    Behaviour Control Framework

    A C++ framework that uses inhibition trees for behaviour control.

    ...The structure and implementation of this library focuses on the application of the inhibition-based behaviour control architecture to real-time control loops, but can reasonably be adapted for a wide variety of other artificial intelligence applications. Emphasis has been placed on having very low overhead so as not to hurt overall system performance, while still maintaining ease of use. I welcome all feedback, suggestions and bug reports! Email: pallgeuer[at]ais.uni-bonn.de
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  • 15

    Belief Reviser

    Belief Revision via PS-Merge under constraints belief merging operator

    Belief revision is a central topic in knowledge representation and reasoning. It consists in incorporating a new belief, changing as few as possible of the original beliefs while preserving consistency. Revision always considers new evidence as a better belief. Such new evidence is usually represented in the form of a propositional formula which must be preserved after the revision. Here, the Δps (PS-Merge) belief merging operator is extended in order to consider constraints, and ...
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  • 16

    PolyRec

    Unistroke gesture recognizer

    NEWS: PolyRec is now on GitHub. Please visit https://github.com/cluelab/polyrec PolyRec is a unistroke gesture recognizer suitable for fast prototyping of gesture-based applications. The recognizer uses a nearest neighbor approach, and requires a small number of samples for each class. The similarity between two gestures is calculated through a three steps procedure: -firstly, each gesture is approximated to a polyline, in order to extract its main movements; - then, the two...
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  • 17
    LiveGMS is a PHP/MySQL driven gene editor for the game Creatures 3 / Docking Station. It provides a platform independent online editor with most features other binary genetics editors have.
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  • 18

    dnrDALMAS

    A general-level Prolog implementation of the DALMAS architecture.

    ...University of Gävle, Division of Computer Science; University of Gävle. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-1475 See also: Odelstad, J., & Boman, M. (2004). Algebras for Agent Norm-Regulation. Annals of Mathematics and Artificial Intelligence, 42(1), 141–166. http://doi.org/10.1023/B:AMAI.0000034525.49481.4a
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  • 19
    This project develops a Java API and tools to specify and execute organisations for multiagent systems based on Moise model. This model is built upon concepts like groups, roles, global goals and plans, and obligations.
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  • 20

    jDALMAS

    A Java front-end to the dnrDALMAS Prolog Module.

    A Java front-end to the dnrDALMAS Prolog Module, as described in the following paper: Hjelmblom, M., & Odelstad, J. (2009). jDALMAS: A Java/Prolog Framework for Deontic Action-Logic Multi-Agent Systems. In A. Håkansson, N. Nguyen, R. Hartung, R. Howlett, & L. Jain (Eds.), Agent and Multi-Agent Systems: Technologies and Applications (Vol. 5559, pp. 110–119). Berlin / Heidelberg: Springer. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-3963
    Downloads: 0 This Week
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  • 21
    Graphplan Implementations
    This project consists of various implementations of the Graphplan algorithm. At the moment we have two implementations of Graphplan: * Emplan - A C++ implementation for Linux, Windows and MacOS X * JavaGP - A Java implementation
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  • 22
    RobotCub
    iCub is an open platform for scientists interested in investigating issues in embodied cognition. Here you find all the software and hardware documentation.
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    Downloads: 1 This Week
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  • 23
    Feed-forward neural network for python
    ffnet is a fast and easy-to-use feed-forward neural network training solution for python. Many nice features are implemented: arbitrary network connectivity, automatic data normalization, very efficient training tools, network export to fortran code. Now ffnet has also a GUI called ffnetui.
    Downloads: 4 This Week
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  • 24

    serein

    A Framework to Model Metaheuristics

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  • 25

    GA-EoC

    GeneticAlgorithm-based search for Heterogeneous Ensemble Combinations

    In data classification, there are no particular classifiers that perform consistently in every case. This is even worst in case of both the high dimensional and class-imbalanced datasets. To overcome the limitations of class-imbalanced data, we split the dataset using a random sub-sampling to balance them. Then, we apply the (alpha,beta)-k feature set method to select a better subset of features and combine their outputs to get a consolidated feature set for classifier training. To...
    Downloads: 4 This Week
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