Showing 5 open source projects for "labeling"

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  • 1
    H9A

    H9A

    H9A counts how many times a digit appears in any range, instantly.

    H9A is an installable Python package that counts how many times a given digit appears in a range of numbers (by default: the digit 9 between 1 and 100). It provides both a h9a command-line tool and an importable library, and it prints each step of the calculation — the per-place counts and the combined total — as styled, colorized output. It is built with rich for console formatting, pyfiglet for an ASCII-art banner, and Pillow for optional terminal-style screenshots.
    Downloads: 1 This Week
    Last Update:
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  • 2

    GraficaFunzioni

    mathematical function plotting and real-time analysis

    ...Built with Swing without heavy external libraries, it features a custom recursive parsing engine that respects operator precedence (+,-,*,/). Features: dynamic Cartesian graphing, adaptive grid zooming/labeling, numerical differentiation (plots the 1st derivative in blue), and definite integration (Riemann sums with text output and transparent blue geometric shading under the curve). Includes angle unit toggle (Rad/Deg) and a portable stand-alone version with bundled JRE. [IT] GraficoAR è un'app Java leggera per lo studio e il tracciamento di funzioni matematiche 2D. ...
    Downloads: 0 This Week
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  • 3
    D_2D and D_3D plotting programs
    D_2D and D_3D are plotting programs with unique features, useful for data visualization and analysis. Input data should be provided as ASCII files formatted as x,y pairs or x,y,z triplets. Graphic output can be in DXF vector format, or raster image.
    Downloads: 0 This Week
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  • 4
    Pocket CRF is a modified version of CRF++, it maintains the simplicity of CRF++ and is able to use high order features. Pocket M3N is a simple Max Margin Markov Networks package for sequence labeling tasks.
    Downloads: 1 This Week
    Last Update:
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  • 5
    CRF++ is a simple, customizable, and open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data. CRF++ is designed for generic purpose and will be applied to a variety of NLP tasks.
    Downloads: 6 This Week
    Last Update:
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