Search Results for "machine learning platform" - Page 79

Showing 2549 open source projects for "machine learning platform"

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  • 1
    A broad collection of command-line-interface tools for performing machine learning operations. Each tool is a thin wrapper around functionality in a well-documented C++ class library. Waffles tools are designed to be simple, script-friendly, and to
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  • 2
    virtual-machine.org - Virtual Machines

    virtual-machine.org - Virtual Machines

    Virtualized Linux, BSD and Unix systems - VMware applainces

    Virtual-machine.org providing easy access to all free Open Source operating systems like BSD, Linux or some other UNIX distributions. Each system is virtualized on the VMware platform. Just simply download VMware Player and one of the systems and start using it without any installation. Each system configuration include default settings.
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  • 3

    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...
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  • 4
    MCCCS

    MCCCS

    Multi Channel Classification and Clustering

    Here we present an image-based Multi Channel Classification and Clustering System (MCCCS). It is an generalized, script-based classification system for processing various kinds of image data. Due to the modular design, individual processing-components can be easily adapted, extended or exchanged by own extensions. See project website for installation instructions.
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  • 5
    PSGMiner a novel software which has been developed to carry out feature extraction in order that robust analysis and classification of various sleep diseases can be performed using polysomnographic data.The software is composed of different modules: The database, feature extraction, annotation,artifact and machine learning modules. for cite İlhan Umut, PSGMiner: A modular software for polysomnographic analysis, Computers in Biology and Medicine, Volume 73, 1 June 2016, Pages 1-9, ISSN 0010-4825, http://dx.doi.org/10.1016/j.compbiomed.2016.03.023. (//www.sciencedirect.com/science/article/pii/S0010482516300750) Keywords: Computer software; Digital signal processing; Machine learning; Polysomnography APPLICATIONS Medicine: diagnosis (neurophysiology, sleep disorders tests…) Research: biomedical engineering, signal processing and machine learning Educational
    Downloads: 1 This Week
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  • 6
    Scene
    Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters,...
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  • 7
    Part-of-speech tagging is the task of assigning symbols from a particular set to words in a natural language text. ACOPOST implements and extends well-known machine learning techniques and provides a uniform environment for testing.
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  • 8
    PyML is an interactive object oriented framework for machine learning written in python. PyML focuses on kernel classifiers, providing tools for feature selection, model selection, and methods for assessing classifier performance.
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  • 9

    TrackMania Challenge Generator

    Challenge generator for racing game 'TrackMania Nations Forever'

    A small tool which generates infinite number of different challenges for racing game 'TrackMania Nations Forever'. Currently only "Stadium" environment is supported. Latest release: 1.0.1.0, both English and Chinese version available.
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  • 10

    Adaptive Difficulty Chinese Chess

    A Chinese chess game including an adaptive computer opponent.

    This project is an application of POSM algorithm on Chinese chess computer player. A computer player is implemented, which will adapt to the its opponent by adjusting its playing strength accordingly.
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  • 11
    KMBOX - Kernel Methods Toolbox

    KMBOX - Kernel Methods Toolbox

    A collection of kernel-based algorithms for Matlab.

    KMBOX is a collection of MATLAB programs that implement kernel-based algorithms, with a focus on regression algorithms and online algorithms. It can be used for nonlinear signal processing and machine learning.
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  • 12

    classify-20-NG-with-4-ML-Algo

    Problem involves classifying 20000 messages into different 20 classes

    This classification problem involves classifying 20000 messages into 20 different classes. The dataset can be found here: https://archive.ics.uci.edu/ml/datasets/Twenty+Newsgroups. Four Machine Learning algorithms; Naïve Bayes, Logistic Regression, Regularized Logistic Regression Support Vector Machine (SVM) were implemented and there training and test dataset accuracy were compared. Arguably, one of the most important aspect to solving this problem is having the appropriate data set format. Each of these algorithms has its peculiar data format; the specific format and how to reconstruct the entire dataset are illustrated in other sections below. ...
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  • 13
    openModeller is a complete C++ framework for species potential distribution modelling. The project also includes a graphical user interface, a web service interface and an API for Python.
    Downloads: 15 This Week
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  • 14
    Virtual Eyewear

    Virtual Eyewear

    An eyewear trying simulator

    Try this software and find out the eyewear style that is the most suitable for you.
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  • 15
    Open Universiteit yOUlearn

    Open Universiteit yOUlearn

    Open Universiteit's custom platform for learning etc.

    Running on Liferay EE.
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  • 16

    GI-ICA

    Matlab implementation of GI-ICA and PEGI

    This is a matlab implementation of the GI-ICA algorithm for ICA in the presence of an additive Gaussian noise. The algorithm is discussed in the paper "Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis" by James Voss, Luis Rademacher, and Mikhail Belkin.
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  • 17

    CILP++

    In-development neural-symbolic system, CILP++

    This is the project of the extension of the original C-IL2P neural-symbolic system, CILP++, for reasoning, knowledge extraction and theory revision from propositional and first-order logics. *** ATTENTION! The CILP++ project has been discontinued from SVN! It has been migrated to Github on https://github.com/manoelfranca/cilppp!
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  • 18
    DotNetWikiBot Framework

    DotNetWikiBot Framework

    Make robots for MediaWiki-powered sites!

    The DotNetWikiBot Framework was developed so that it can offer a helping hand with many complicated and routine tasks of wiki site development and maintenance. DotNetWikiBot Framework is a cross-platform full-featured client API, that allows you to build programs and web robots easily to manage information on MediaWiki-powered sites. DotNetWikiBot Framework can also be used for learning C# and .NET.
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  • 19
    Scikit Learn
    Machine Learning framework in Python
    Downloads: 6 This Week
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  • 20
    ankus

    ankus

    Data Mining and Machine Learning Algorithms based on MapReduce

    [The feature of ankus] * ankus is a 'web-based big data mining project and tool'. - MapReduce-based data mining/machine learning algorithms library - Hadoop-based distributed bigdata system - offering a web-based GUI for easy use [The ankus project & License] * The ankus project consists of three as an open source. * ankus has Dual licensed under the community and commercial licenses. * community license is following GPLv3 - Some algorithms in Core Project do not under the OSS License [Demonstration Site] http://www.openankus.org:18080 [Official website & E-mail] www.openankus.org ankus@openankus.org [ankus video list] http://bit.ly/ankus_video [community] http://www.facebook.com/groups/openankus (Korean Groups) http://www.facebook.com/openankus (English Groups) http://bit.ly/ankus_forum (Google groups user forum)
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  • 21
    moodle-javalib

    moodle-javalib

    Java client library for Moodle 2.x REST Web Services

    Open-source learning platform Moodle is used in Classical Private University (Zaporozhye, Ukraine) for over 11 years. One of the important extensions of the platform functionality, starting with version 2.0, is support for Web services. To explore the practical possibilities of interacting with Moodle Web services we have developed a Java-client and used it for the study.
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  • 22
    Awesome Recurrent Neural Networks

    Awesome Recurrent Neural Networks

    A curated list of resources dedicated to RNN

    A curated list of resources dedicated to recurrent neural networks (closely related to deep learning). Provides a wide range of works and resources such as a Recurrent Neural Network Tutorial, a Sequence-to-Sequence Model Tutorial, Tutorials by nlintz, Notebook examples by aymericdamien, Scikit Flow (skflow) - Simplified Scikit-learn like Interface for TensorFlow, Keras (Tensorflow / Theano)-based modular deep learning library similar to Torch, char-rnn-tensorflow by sherjilozair, char-rnn...
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  • 23
    ExSTraCS

    ExSTraCS

    Extended Supervised Tracking and Classifying System

    This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. ...
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  • 24
    HLearn

    HLearn

    Homomorphic machine learning

    HLearn is a Haskell-based machine learning library focused on composability, algebraic structure, and performance. It provides a functional approach to building machine learning algorithms by leveraging algebraic properties such as monoids and groups. This allows for parallel, incremental, and distributed computation in a mathematically consistent way. HLearn aims to provide implementations of common algorithms like k-means, naive Bayes, and others while maintaining the expressiveness and safety of the Haskell language.
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  • 25
    aCME-groupware
    A platform for synchronous collaborative activities primarily in mobile learning environment with different smartphones. aCME-groupware (a Collaborative Mobile Environment) offers several tools to collaborative educational activities with students.
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