Showing 10 open source projects for "feature selection"

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  • 1
    The ARCHModels Package for Julia

    The ARCHModels Package for Julia

    A Julia package for estimating ARMA-GARCH models

    ARCH (Autoregressive Conditional Heteroskedasticity) models are a class of models designed to capture a feature of financial returns data known as volatility clustering, i.e., the fact that large (in absolute value) returns tend to cluster together, such as during periods of financial turmoil, which then alternate with relatively calmer periods. This package provides efficient routines for simulating, estimating, and testing a variety of GARCH models. ARCH (Autoregressive Conditional...
    Downloads: 0 This Week
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  • 2
    tsfresh

    tsfresh

    Automatic extraction of relevant features from time series

    tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. tsfresh is used to to extract characteristics from time series. Without tsfresh, you would have to calculate all characteristics by hand. With tsfresh this process is automated and all your features can be calculated automatically. Further tsfresh is compatible with pythons pandas and scikit-learn APIs, two important packages for Data Science endeavours in python....
    Downloads: 0 This Week
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  • 3

    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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  • 4
    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)
    Downloads: 6 This Week
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  • 5
    Notetask - Task & Notes in Plaintext

    Notetask - Task & Notes in Plaintext

    A simple application for creating and organizing task lists, offering

    Notetask is a cross-platform application for managing task lists that include completion status, task description, and notes. Each task can have a due date and be marked as a favorite with a star. It uses its own storage text format based on Markdown. It is designed to help you quickly organize a large number of small routine tasks. You can enter tasks directly in the app or paste raw text from the clipboard — such as a list of requirements or ideas — then sort them into groups, set...
    Downloads: 2 This Week
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  • 6
    Multiple Excel Sheet Combiner Free

    Multiple Excel Sheet Combiner Free

    Multiple Excel combiner including sheets with large data

    ...This feature is useful for data consolidation and analysis. 4. Starting Row Selection: Users can specify the starting row for data extraction from each sheet, allowing flexibility in handling different data structures. 5. Output Format Options: The application provides options to save the combined data in various formats, including CSV, Excel, and text files, giving users flexibility in how they want to store and share the data. 6.
    Downloads: 0 This Week
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  • 7
    OmicSelector

    OmicSelector

    Feature selection and deep learning modeling for omic biomarker study

    OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant diagnostic potential (based on the results of miRNA-seq, for validation in qPCR experiments).
    Downloads: 0 This Week
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  • 8
    HumHub - Social Network Kit

    HumHub - Social Network Kit

    Open Source Social Network Kit written in PHP

    HumHub is a feature rich and highly flexible OpenSource Social Network Kit written in PHP. It's perfect for individual: - Social Intranets - Enterprise Social Networks - Private Social Networks Find more information at: http://www.humhub.org HumHub is powered by http://www.yiiframework.com/. Modules (Selection): - Mail - Polls - Tasks - Wiki - Calendar - Notes (Etherpad Integration) - .. and many many more!
    Downloads: 1 This Week
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  • 9
    ngx-datatable

    ngx-datatable

    A feature-rich yet lightweight data-table crafted for Angular

    ngx-datatable is an Angular component for presenting large and complex data. It has all the features you would expect from any other table but in a light package with no external dependencies. The table was designed to be extremely flexible and light; it doesn't make any assumptions about your data or how you: filter, sort or page it. It was built for modern browsers using TypeScript, CSS3 and HTML5 and Angular 8.0.0. This is the sister project of the angular-data-table that is designed for...
    Downloads: 0 This Week
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  • 10
    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: 2 This Week
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