Showing 18 open source projects for "python feature selection"

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  • 1

    DataPrep

    Python-based data preprocessing tool

    DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal strategies with customizable parameter setting options.
    Downloads: 0 This Week
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  • 2
    Minsky

    Minsky

    System dynamics program with additional features for economics

    Minsky brings system dynamics and monetary modelling to economics. Models are defined using flowcharts on a drawing canvas (as are Matlab's Simulink, Vensim, Stella, etc). Minsky's unique feature is the "Godley Table", which uses double entry bookkeeping to generate stock-flow consistent models of financial flows. Minsky is good for demonstrating mathematics too, with the most "math-like" interface in system dynamics. Sign up to Minsky's Patreon page (for as little as $1 a month) at...
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    Downloads: 68 This Week
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  • 3
    preMath

    preMath

    Basic Maths for pre-school

    It a basic Maths program to help children to know how to count. App ready to comply with Android safe install, that will be effective in 2027.
    Downloads: 0 This Week
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  • 4
    Random

    Random

    Generation random numbers, words and elements

    Tired of the monotony of life and craving a bit of randomness? Use this simple app "Random". An application for generating random numbers, words and selecting a random element from a list. The simple interface ensures fast and convenient user interaction. - Random numbers: generation is possible in any range. - Random words: the application's vocabulary is about 10,000 words and will increase in future versions. - Random element: the number of elements in the list is not limited, all...
    Downloads: 0 This Week
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  • 5
    Digraph3

    Digraph3

    A collection of python3 modules for Algorithmic Decision Theory

    This collection of Python3 modules provides a large range of implemented decision aiding algorithms useful in the field of outranking digraphs based Multiple Criteria Decision Aid (MCDA), especially best choice, linear ranking and absolute or relative rating algorithms with multiple incommensurable criteria. Technical documentation and tutorials are available under the following link: https://digraph3.readthedocs.io/en/latest/ The tutorials introduce the main objects like digraphs,...
    Downloads: 0 This Week
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  • 6
    Social Network Visualizer

    Social Network Visualizer

    Social Network Analysis and Visualization software

    Visit our new site: http://socnetv.org Social Network Visualizer (SocNetV) is a social network analysis and visualization application. You can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. Kamada-Kawai spring-embedder)
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    Downloads: 3 This Week
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  • 7
    zCharter
    Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
    Downloads: 0 This Week
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  • 8
    Modular toolkit for Data Processing MDP
    ...The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.
    Downloads: 1 This Week
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  • 9
    MRA

    MRA

    A general recommender system with basic models and MRA

    Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide...
    Downloads: 0 This Week
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  • 10
    Easy Equations

    Easy Equations

    Hand Written Equation Creator

    Easy Equations is a utility using which one can write the mathematical equations. The focus of this utility is to provide user friendly access to write mathematical equations which is helpful for students, lecturers, mathematicians and Research persons who prefer using mathematical equations in a document, PowerPoint or web sites. Works on Windows as well as Linux platforms. Software Requirements: JDK 7 or higher. Linux Platform with kernel version 2.7 or higher.(for Linux users).python...
    Downloads: 0 This Week
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  • 11
    imDEV

    imDEV

    Tools for multivariate data visualization, exploration and analysis.

    You may also like some newer work: http://createdatasol.com/ Project imDEV is an application of RExcel, which seamlessly integrates Excel and R for tasks focused on multivariate data visualization, exploration, and analysis. Interactive modules for dimensional reduction (imPCA), prediction (imPLS), feature selection, analysis of correlation (imCorrelations) and generation of networked structures (imGraph) provide an integrated environment for systems level analysis of multivariate data.
    Downloads: 0 This Week
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  • 12
    Mathemapy

    Mathemapy

    A Python calculator program

    Mathemapy is a feature-rich calculator made in Python. It can do multiple types of division, solve equations, expand equations and more.
    Downloads: 0 This Week
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  • 13
    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: 6 This Week
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  • 14
    PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
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    Downloads: 3 This Week
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  • 15
    A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.
    Downloads: 0 This Week
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  • 16
    l3lang is a persistent Python-like language and the l3gui provides a worksheet-like interface where computed values can be examined via simple selection and scripts can be assembled as structures.
    Downloads: 0 This Week
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  • 17
    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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  • 18
    Cluster Analysis Wrapped Feature Subset Selection (CAWFSS) is a collection of feature subset selection algorithms which use various cluster analysis algorithms as wrappers.
    Downloads: 0 This Week
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