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Machine Learning

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Showing page 1 of 15.

  • Weka---Machine Learning Software in Java Icon
    Weka---Machine Learning Software in Java

    Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.

    13,834 weekly downloads
  • Java Neural Network Framework Neuroph Icon
    Java Neural Network Framework Neuroph

    Java Neural Network Framework

    671 weekly downloads
  • Armadillo C++ matrix library Icon
    Armadillo C++ matrix library

    Armadillo is a fast, template based, C++ matrix library with optional interface to LAPACK and ATLAS libraries, including high-performance versions such as Intel MKL, AMD ACML and OpenBLAS. Integer, floating point and complex numbers are supported, as well as disk storage and a subset of trigonometric and statistics functions. Armadillo has an easy to use syntax, deliberately similar to Matlab. For more details, see http://arma.sourceforge.net

    562 weekly downloads
  • Scikit Learn Icon
    Scikit Learn

    Machine Learning framework in Python

    548 weekly downloads
  • Speech Recognition SkryBot in Polish  Icon
    Speech Recognition SkryBot in Polish

    speech recognition software for Polish language

    175 weekly downloads
  • OpenNN: Open Neural Networks Library Icon
    OpenNN: Open Neural Networks Library

    OpenNN is an open source class library written in C++ which implements neural networks, a main method of artificial intelligence. This open neural networks library was formerly known as Flood.

    133 weekly downloads
  • dlib C++ Library Icon
    dlib C++ Library

    dlib is a library for developing portable applications dealing with networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, and numerous other tasks.

    143 weekly downloads
  • openSMILE Icon
    openSMILE

    SMILE = Speech & Music Interpretation by Large Space Extraction openSMILE is a fast, real-time (audio) feature extraction utility for automatic speech, music and paralinguistic recognition research developed at TUM in the scope of the EU-project SEMA

    138 weekly downloads
  • Neuroph OCR - Handwriting Recognition Icon
    Neuroph OCR - Handwriting Recognition

    Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.

    75 weekly downloads
  • MEKA Icon
    MEKA

    A Multi-label Extension to Weka

    120 weekly downloads
  • marsyas Icon
    marsyas

    Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is a framework for developing systems for audio processing. It provides an general architecture for connecting audio, soundfiles, signal processing blocks and machine learning.

    43 weekly downloads
  • Multiple Back-Propagation (with CUDA) Icon
    Multiple Back-Propagation (with CUDA)

    Open source software for training neural networks

    72 weekly downloads
  • BreakDancer Icon
    BreakDancer

    BreakDancer-0.0.1 is a Perl package that provides genome-wide detection of structural variants from next generation paired-end sequencing reads.

    53 weekly downloads
  • mlpy Icon
    mlpy

    Machine Learning Python

    133 weekly downloads
  • openModeller Icon
    openModeller

    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.

    111 weekly downloads
  • weka neural network algorithms Icon
    weka neural network algorithms

    This project contains weka packages of neural networks algorithms implementations like Learning Vector Quantizer (LVQ) and Self-organizing Maps (SOM). For more information about weka, please visit http://www.cs.waikato.ac.nz/~ml/weka/

    109 weekly downloads
  • JAABA Icon
    JAABA

    The Janelia Automated Animal Behavior Annotator

    34 weekly downloads
  • Image Recognition in Java Icon
    Image Recognition in Java

    This is an attempt to create simple image recognition program in java. Demo here: http://www.youtube.com/watch?v=N4m4j4D3pJU

    87 weekly downloads
  • openEAR Icon
    openEAR

    openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-k

    24 weekly downloads
  • CvHMM Icon
    CvHMM

    Discrete Hidden Markov Models based on OpenCV

    23 weekly downloads
  • sgmweka Icon
    sgmweka

    Weka wrapper for SGM toolkit for text classification and modeling.

    40 weekly downloads
  • Spectral Python Icon
    Spectral Python

    Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.

    19 weekly downloads
  • Scene Icon
    Scene

    Scene is a computer vision framework that performs background subtraction and object tracking using recently published algorithms based on neural networks and fuzzy classification rules. For each detected object Scene sends TUIO messages to one or several client applications. It was mainly designed as a toolkit for the rapid development of interactive art projects that explore dynamics of complex environments. The Scene GUI presently runs and compiles under Windows, and is available in both 32 bit and 64 bit versions.

    20 weekly downloads
  • CLIPSNet Icon
    CLIPSNet

    .NET library for embedding CLIPS in to .NET applications.

    17 weekly downloads
  • MATLAB spectral clustering package Icon
    MATLAB spectral clustering package

    A MATLAB spectral clustering package to handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. We implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method.

    37 weekly downloads
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