Showing 141 open source projects for "python feature selection"

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  • 1

    Distant Speech Recognition

    Beamforming and Speech Recognition Toolkit

    BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods.
    Downloads: 3 This Week
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  • 2
    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.
    Downloads: 4 This Week
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  • 3
    Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
    Downloads: 2 This Week
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  • 4

    Steel TTS

    A cross-platform wrapper for common text-to-speech engines in Python

    Steel is a cross-platform package for using common text-to-speech (speech synthesis) engines in Python. Steel currently supports the following TTS software: - Microsoft Speech API 5 (SAPI5) - eSpeak - NS Speech Synthesis - FreeTTS Documentation: http://sourceforge.net/p/steeltts/wiki/ Bug Tracker: http://sourceforge.net/p/steeltts/tickets/ If you are interested in contributing to the Steel TTS codebase, or would like to make a feature-request, please contact the lead developer, Jasper Danielson, at jrd4@rice.edu.
    Downloads: 2 This Week
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  • 5

    BetBoy

    Using neural networks to predict outcomes of football matches

    Predicting outcomes of matches using neural networks,simulations,automatic bets selector,automatic/manual database updates How to use instructions: https://sourceforge.net/p/betboy/wiki/Home/ Video presentation: http://www.youtube.com/watch?feature=player_embedded&v=I2C5TlBSB6w http://www.youtube.com/watch?feature=player_embedded&v=hZ00br89_l8 http://www.youtube.com/watch?feature=player_embedded&v=844iwI8zBZk
    Downloads: 4 This Week
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  • 6
    Err

    Err

    err is a plugin based chatbot designed to be easily extensible

    err is a plugin based chatbot designed to be easily deployable, extensible and maintainable. It allows you to start scripts interactively from your chatrooms for any reason: random humour, starting a build, monitoring commits, triggering alerts ... It is really easy to add your own feature. Features Backends support: - XMPP : Tested with hipchat, openfire and Jabber but should be compatible with any standard XMPP servers. - CampFire support - Supports MUCs (chatrooms) -...
    Downloads: 0 This Week
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  • 7
    mlpy

    mlpy

    Machine Learning Python

    mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3.
    Downloads: 5 This Week
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  • 8

    Bamboo Engine

    Game framework on top of Python, Panda3D and Twisted

    Bamboo intends to be a complete end-to-end game framework for client/server applications using Twisted for data exchange, Panda3D for rendering and coded in Python. Support for PyPy/CPython may be considered at a later point. An Extreme/Agile Development model is in use to allow for emergent design (IE: changing requirements). Release is updated whenever a feature is added and all tests pass cleanly 100%
    Downloads: 0 This Week
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  • 9
    RapidMiner Feature Selection Extension
    This RapidMiner-plugin consists of operators for feature selection and classification - mainly on high-dimensional (microarray-) data - and some helper-classes/operators.
    Downloads: 0 This Week
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  • 10
    Leark is a Data Mining library developed in C#.NET. It contains several methods for ranking web documents described with a set of normalized features, and a feature selection algorithm. The methods are based on perceptron and clustering.
    Downloads: 0 This Week
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  • 11
    CrfAny is a C++ package for efficient and exact training and inference of Conditional Random Fields over any graphical structure, supporting all feature types (boolean, integer and real) and command line, C++/Python Lib interfaces.
    Downloads: 0 This Week
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  • 12
    A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
    Downloads: 0 This Week
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  • 13
    Case Based Reasoning is a technology to make a similarity based selection from a predefined set of cases. Each case is defined by a set of features. After some cases are stored it is possible to perform a search by specifying search feature values.
    Downloads: 6 This Week
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  • 14
    Genetic Programming framework written in Python. Takes advantage of python\'s compiler to make things simple. Includes basic genetic operations (rank/roulette selection,crossover,mutation,steady state,elitistm ...)
    Downloads: 2 This Week
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  • 15
    Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
    Downloads: 0 This Week
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  • 16
    Copter! is a SimCopter clone written in C++. Copter! will feature much more than the original SimCopter, and will be very moddable through it's modular design. Mods will be released which allow the player to be a policeman, or other characters.
    Downloads: 0 This Week
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