Showing 796 open source projects for "learning"

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  • 1
    The Information Extraction Plugin allows the use of information extraction techniques within RapidMiner. It can be seen as an interface between natural language and IE- or datamining-methods, by extracting interesting information out of documents.
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  • 2

    cerrla

    The CERRLA algorithm, developed by Sam Sarjant

    This project contains the files required to run the Cross-Entropy Relational Reinforcement Learning Agent (CERRLA) algorithm. Note that a copy of the JESS rules engine will also be required.
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  • 3
    orgPdf

    orgPdf

    this Software helps to organise Pdf files or ebooks in Pdf format

    ENGLISH: This Sofftware is an application built to help people deal with their multiple Pdf files or ebooks in Pdf format and is extremely simple to use with a minimalistic interface. proper those people who do not like spending much time learning how an application functions. When the reader starts it, he needs to select the directory (folder) which contains the directories with the files, next the interface opens and it starts performing the magic. PORTUGUÊS Este software permite o usuário organizar os seus ficheiros no formato Pdfs ou ebooks. Ele é muito símples com uma interface minimalista para facilitar o usuário. ...
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  • 4
    MLE - Mobile Learning Engine
    MLE - The Mobile Learning Engine is a learning application for mobile phones written in Java (J2ME). It enables you to use your phone at anytime and at anyplace for computer-aided, multimedia-based learning. It is a content independent engine.
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  • 5
    JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.
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  • 6

    Mobile Learning Business Game

    Mobile serious game about business consulting for students

    This mobile business game was developed at Massey University and AUT in Auckland New Zealand for use by students. As part of the funding contract with Ako Aoteroa the game is being made freely available for public use. The SourceForge site is a work in progress, but currently hosts two versions of the game, the original one that runs on Nokia S60 phones, and the current version, which runs on Android devices. Source code is provided for the Nokia version. The source for the Android version...
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  • 7
    We moved to GitHub: https://github.com/grobid/grobid
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  • 8
    Code 2 Gether

    Code 2 Gether

    Learning to Code 2 Gether!

    Always wanted to learn how to code. Here you are at the right spot! We can proudly call this the Code 2 Gether Project! Well all learn to code together making Games!. Software! And more!!! All together So don't forget to join the project :D
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  • 9

    Language KISS

    Learn a language with cards. Share and edit with others.

    Learn a language efficiently with cards using the Leitner method. Keep It Simple and Stupid (KISS) - and without costs. Collaboration: Share and edit the vocabulary with other learners. Synchronize your learning progress between your devices. Translations. At the moment English and German. HTML5 version is in work. Preview at: http://jfellow.net/lk/ (The HTML5 version will not use GoogleDocs for sharing. Instead it uses a PHP server script that can be put on any PHP enabled server.)
    Downloads: 1 This Week
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  • 10

    AdPreqFr4SL

    Adaptive Prequential Learning Framework

    The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure.
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  • 11

    ABC-DynF

    Adaptive Bayesian Classifier with Dynamic Features

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  • 12
    TreeLiker

    TreeLiker

    TreeLiker is a collection of fast algorithms for working with complex

    ...In experiments with real-life data, the algorithms were shown to be able to construct complete non-redundant sets of patterns for chemical datasets involving several thousands of molecules as well as for comparably large datasets from genomics or proteomics. The included relational learning algorithms are tailored towards so-called tree-like features for which some otherwise very hard sub-problems (NP-hard) become tractable.
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  • 13
    Sentence Composer

    Sentence Composer

    Compose the writings semi-automatically

    ...First, I made a chatterbot to understand the concept of "predicting" the next sentence (worked as good as the Cleverbot), then I made this program that is aided by an user to compose the new writings. SAMPLE: Input sentence was "Learning algorithm" The prefix was "transductive learning" Learning algorithm. Transduction, or transductive inference, tries to predict new outputs on specific and fixed (test) cases from observed, specific (training) cases. The simplest realization for transductive inference is the method of k-nearest neighbors. Learning to learn learns its own inductive bias based on previous experience. ...AND SO ON.... ...
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  • 14
    Java examples for information retrievals covering themes like indexing, search, ranking, information extraction, regular expressions or crawling based on libraries such as Lucene. It provide support for learning information retrieval.
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  • 15
    BluLM

    BluLM

    BluLM is a learning manager program suited for small schools.

    BluLM is a learning manager program for suited for small schools. It features a homework manager, course schedule, and online chat. The program is written in Java. The server uses a MySQL database.
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  • 16
    MACSY

    MACSY

    Modular Architecture for Cognitive Systems

    Macsy is a framework for developing modular agents. Data is organised in blackboards. Computations are performed by modules that annotate the data in the blackboards. Modules communicate indirectly through the annotations that they leave in the blackboards. The framework enables the development of decentralised software agents for a plethora of applications.
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  • 17

    Anumaan

    Open source predictive text entry system from CDAC, Mumbai

    Anumaan is a predictive text entry system developed by CDAC, Mumbai, India. It gives context sensitive text prediction. Hence, it helps in effective text entry. It is intended for people suffering from different kinds of motor disabilities. New version of standalone flavor of Anumaan (Anumaan-standalone-0.2) has been released. Feedback, feature enhancement requests about the application can be sent to ossd[at]cdac[dot]in or predictanumaan[at]gmail[dot]com.
    Downloads: 0 This Week
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  • 18

    Black Hole Cortex

    Sphere surface layers of visual cortex approach maximum info density

    Near the surface (even horizon) of a black hole, there is maximum information density in units of squared plancks (and some translation to qubits). Similarly, our imagination is the set of all possible things we can draw onto our most dense layer of visual cortex in electricity patterns. Bigger layers have more neurons to handle those possibilities. A Black Hole Cortex is a kind of visual cortex that has density of neuron layers similar to density at various radius from a black hole. What we...
    Downloads: 6 This Week
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  • 19

    JaCHMM

    Java Conditioned Hidden Markov Model library

    The JaCHMM - the Java Conditioned Hidden Markov Model library - is a complete implementation of a CHMM in Java ready to use either on command line or as a module. The JaCHMM is licenced under the BSD licence. It gives an implementation of the Viterbi, Forward-Backward, Baum-Welch and K-Means algorithms, all adapted for the CHMM. JaCHMM is based on the JaHMM and also designed to achieve reasonable performance without making the code unreadable. Consequently, it offers a good way of...
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  • 20
    Ms. Pac-Man Framework

    Ms. Pac-Man Framework

    Using reinforcement learning with relative input to train Ms. Pac-Man

    This Java-application contains all required components to simulate a game of Ms. Pac-Man and let an agent learn intelligent playing behaviour using reinforcement learning and either Q-Learning or SARSA. The framework was developed by Luuk Bom and Ruud Henken, under supervision of Marco Wiering, Department of Artificial Intelligence, University of Groningen. It formed the basis of a bachelor's thesis titled "Using reinforcement learning with relative input to train Ms. Pac-Man", L.A.M. Bom (2012).
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  • 21
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  • 22
    Vmorse

    Vmorse

    Virtual morse code is morse code learning system

    Vmorse is a software application to assist and facilitate you in learning the morse code. This application was built to be assessed at the event Gemastik 2010. Created by Ti7 Team STMIK AKAKOM Yogyakarta. Team member/developer: Rosena P, Liliana M, Diah S. Special thank to: Tri Juliansyah E
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  • 23
    CUO

    CUO

    Codon Usage Optimizer

    ...The main tool in CUO, Moptimizer, introduces a semi-automatic way of gene optimization which provides more flexibility and accuracy during the optimization process. The future plan for CUO is to be developed into a multipurpose bioinformatics software where data, findings, planning and learning in biology labs can be created and shared at finger tips.
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  • 24
    JOOTS

    JOOTS

    java learning environment

    An INTELLIGENT TUTORING SYSTEM FOR LEARNING JAVA OOP (J.O.T.S), is a java learning environment that focuses on how to teach the main concepts of modern Object Oriented Programming Languages in an intelligent way. جامعة فلسطين www.up.edu.ps UP University of Palestine , GAZA
    Downloads: 0 This Week
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  • 25
    yafra

    yafra

    Apache Cayenne, Wicket, CXF, GWT, EJB examples as a framework

    Yet another (different) framework. Examples around Apache Cayenne. Using different technologies like Apache CXF Google Web Toolkit EJB Apache Wicket Eclipse RCP Java ANSI C Perl Python Bash WE MOVED TO GITHUB.COM !! All sources are now in git on github.com - search for yafra project. Thanks sf.net for the very good service in the past - but now it was time to move on!
    Downloads: 0 This Week
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