Showing 5 open source projects for "arch linux custom"

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  • 1
    git-stats

    git-stats

    Local git statistics including GitHub-like contributions calendars

    git-stats is a Node.js command-line tool and library for tracking Git activity locally. It renders commit history as an ANSI contribution calendar similar to the graph displayed on GitHub profiles. Users can select custom date ranges, display global activity, filter commits by author, and compare additions with deletions. Author statistics can also be presented as terminal pie charts. Commit records are stored in a configurable local data file, with a JavaScript configuration file...
    Downloads: 0 This Week
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  • 2
    PyMC

    PyMC

    Bayesian Modeling and Probabilistic Programming in Python

    PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling.
    Downloads: 4 This Week
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  • 3
    Statistical program, somewhat like shareware DataFit. You may provide a custom template (or exchange the template library with your friends or Internet including sf.net) and test your tabled data. Calculates F-ratio.
    Downloads: 1 This Week
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  • 4

    jAgg

    jAgg - Java Aggregation Operations

    jAgg is a Java 5.0 API that supports “group by” operations on Lists of Java objects: aggregate operations such as count, sum, max, min, avg, and many more. It supports Super Aggregation: Rollups, Cube, and Grouping Sets. It supports analytic operations such as lag/lead and row number and more. It also allows custom aggregate and analytic operations.
    Downloads: 0 This Week
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  • 5

    libfgen

    Library for optimization using a genetic algorithm or particle swarms

    libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported.
    Downloads: 0 This Week
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