Showing 9 open source projects for "s-transform"

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  • 1
    JavaParser

    JavaParser

    Java 1-17 Parser and Abstract Syntax Tree for Java

    This project contains a set of libraries implementing a Java 1.0 - Java 17 Parser with advanced analysis functionalities. The project binaries are available in Maven Central. We strongly advise users to adopt Maven, Gradle or another build system for their projects. If you are not familiar with them we suggest taking a look at the maven quickstart projects. Since Version 3.5.10, the JavaParser project includes the JavaSymbolSolver. While JavaParser generates an Abstract Syntax Tree,...
    Downloads: 3 This Week
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  • 2
    litlyx

    litlyx

    Analytics for developers, setup Analytics in 30 seconds

    The easiest, developer-centric analytics tool. Litlyxis an open-source, self-hostable analytics solution for the modern framework. Litlyx offers a unique eyewear cleaning system that includes a special cleaning solution and reusable microfiber swabs. This system is designed to provide a more thorough and eco-friendly way to clean glasses, lenses, and screens. The brand emphasizes sustainability by reducing single-use plastics and promoting long-term use of their products. Their cleaning kit...
    Downloads: 0 This Week
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  • 3
    awesome-single-cell

    awesome-single-cell

    Community-curated list of software packages and data resources

    ...The package incorporates novel and established methods to provide a flexible framework to perform filtering, quality control, normalization, dimension reduction, clustering, differential expression and a wide-range of plotting. An analytical framework for big-scale single cell data. Transform percentage-based units into a 2d space to evaluate changes in distribution with both magnitude and direction.
    Downloads: 0 This Week
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  • 4
    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    .NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write...
    Downloads: 0 This Week
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  • 5
    hui

    hui

    hewies user interface - 3D scientific visualisation tool

    Python project with goal to provide FOSS library to extract, analyse and visualise data in a 3D fashion. The instance will connect to a data source, ods sheet, csv, sql DB, pyodbc the instance will analyse and/or transform the data to be presented to the visualisation functionality the instance will visualise the data in a 3D fashion, likely using third party FOSS
    Downloads: 0 This Week
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  • 6
    RapidMiner -- Data Mining, ETL, OLAP, BI
    ETL, data warehousing, data mining, OLAP, business intelligence (BI) in Java. 500+ modules: extract, transform, load (ETL), data mining, data analysis + Weka, statistical forecasting, preprocessing, validation, visualization, OLAP, business intelligence.
    Downloads: 0 This Week
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  • 7
    Poli

    Poli

    An easy-to-use BI server built for SQL lovers. Power data analysis

    ...Single JAR file + Single SQLite DB file. Get up and running in 5 minutes. PostgreSQL, Oracle, SQL Server, MySQL, Elasticsearch... You name it. No ETLs, no generated SQL, polish your own SQL query to transform data. Pixel-perfect positioning + Drag'n'Drop support to customize the reports and charts in your own way. Utilize the power of dynamic SQL with query variables to connect Filters and Charts. Capture the snapshot of historical data. Free up space in your own database. Three system level role configurations + Group based report access control. ...
    Downloads: 0 This Week
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  • 8
    A More Accurate Fourier Transform

    A More Accurate Fourier Transform

    Computes Accurate Fourier Transform via Explicit Integration not FFT

    Fourier transform methods are used to analyze functions and data sets to provide frequencies, amplitudes, and phases of underlying oscillatory components. Fast Fourier transform (FFT) methods offer speed advantages over evaluation of explicit integrals (EI) that define Fourier transforms. It has been shown recently that EI methods can be more accurate than FFT methods (Courtney and Courtney, A More Accurate Fourier Transform) for scientific data analysis and that EI methods can be implemented in reasonable times with modern computing power. ...
    Downloads: 0 This Week
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  • 9
    Sound and speech editor. Sound data analysis and transform tool. Used for speech analysis, labelling and speech synthesis inventory creation.
    Downloads: 0 This Week
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