Showing 11 open source projects for "easy run opensource"

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  • 1
    Hello Algorithm

    Hello Algorithm

    Animated illustrations, one-click data structure

    ...This project aims to create an open source, free, novice-friendly introductory tutorial on data structures and algorithms. The whole book uses animated illustrations, the content is clear and easy to understand, and the learning curve is smooth, guiding beginners to explore the knowledge map of data structures and algorithms. The source code can be run with one click, helping readers improve their programming skills during exercises and understand the working principles of algorithms and the underlying implementation of data structures. ...
    Downloads: 0 This Week
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  • 2
    YAPF

    YAPF

    A formatter for Python files

    ...Instead of relying on a fixed set of heuristics, it explores formatting decisions and chooses the lowest-cost result, aiming to produce code a human would write when following a style guide. You can run it as a command-line tool or call it as a library via FormatCode / FormatFile, making it easy to embed in editors, CI, and custom tooling. Styles are highly configurable: start from presets like pep8, google, yapf, or facebook, then override dozens of options in .style.yapf, setup.cfg, or pyproject.toml. It supports recursive directory formatting, line-range formatting, and diff-only output so you can check or fix just the lines you touched.
    Downloads: 2 This Week
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  • 3
    Pythonic Data Structures and Algorithms

    Pythonic Data Structures and Algorithms

    Minimal examples of data structures and algorithms in Python

    ...For students preparing for technical interviews, self-learners brushing up on fundamentals, or developers wanting to understand algorithm internals, this repository provides ready-to-run examples, and can serve as a sandbox to experiment, benchmark, or adapt code. Because it’s in pure Python, it’s easy to read and modify, making it accessible even to those with modest programming experience. The repo helps bridge the gap between theoretical algorithm descriptions and real-world code, giving concrete, working implementations that one can study, debug, or extend.
    Downloads: 3 This Week
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  • 4
    javascript-algorithms

    javascript-algorithms

    JavaScript implementations of computer science algorithms

    javascript-algorithms is a repository that implements a comprehensive collection of classic data structures and algorithmic solutions in JavaScript — including sorting, searching, graph algorithms, dynamic programming, and more. It serves as a learning and reference resource for developers wanting to understand how standard algorithms can be expressed in JavaScript, bridging the gap between theoretical algorithm knowledge and practical implementation usable in web or Node.js contexts....
    Downloads: 0 This Week
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  • 5
    Dopamine

    Dopamine

    Framework for prototyping of reinforcement learning algorithms

    Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important...
    Downloads: 0 This Week
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  • 6
    WOFF2

    WOFF2

    This document documents how to run the compression reference code

    woff2 is Google’s reference implementation of the WOFF2 webfont format, the modern, highly compressed container used by browsers to ship OpenType/TrueType fonts efficiently over the network. It integrates specialized transforms for font tables (like glyf/loca and variations data) with Brotli compression to squeeze out as many bytes as possible while preserving exact font fidelity on decode. The repository includes a compact C/C++ library and small command-line tools so you can convert...
    Downloads: 9 This Week
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  • 7
    InnoVB .NET Packager

    InnoVB .NET Packager

    Deploy VB.NET applications quick and easy

    InnoVB .NET Packager is the easiest deployment tool for VB.NET applications via Inno Setup. It includes all the Application's dependencies even the COM libraries. Great for hybrid application projects. System Requirements: * .NET Framework 2.0 or later * Windows 2000 or later * 256Mb RAM or higher * 1GHz Processor or higher * Inno Setup 5 or higher NOTICE: Visual Basic .NET is a trademark of Microsoft. Inno Setup is a trademark of Jordan Russel. All trademarks are owned by their...
    Downloads: 0 This Week
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  • 8
    Utah Raster Toolkit

    Utah Raster Toolkit

    The Utah Raster Toolkit 3.0, patchlevel 2

    This is the Utah Raster Toolkit distribution version 3.0 of June, 1990. ~~~ librle.a, image.rle file type support, animation, rletogif, converters, many utilities. RLE format supports a great number of raw inner formats for applications to use, known together as .rle (ie, "stored windowing") ~~~ The Utah Raster toolkit is a collection of programs and C routines for dealing with raster images commonly encountered in computer graphics. It provides the following major functions: ...
    Downloads: 0 This Week
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  • 9
    Sudoku

    Sudoku

    solve Sudoku puzzles as quick as possible

    * Requires : .net framework 4.5 or later Sudoku , This application developed using C# and requires .net framework 4.5 or later. GUI supports better good feedback for each and every action. To easy to handle. Save and reuse the Sudoku file , all files are stored as .sdku files ( sudoku files ) and this files are opened only through this application. Use it and rate it !
    Downloads: 0 This Week
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  • 10
    FastPeak

    FastPeak

    Fast AFM force curve peaks detector algorithm

    This is showcase program, with source code and sample data included for fast peak detection algorithm. It is great tool for entry level, automated analisys, to discard empty and junk curves and save only ones matching required criteria. Assuming that only 1% of data is worth reviewing, and that manual selection takes approx. 3 seconds per curve, you can save up to 8 hours per every 10000 curves (like 2 days every week!). Force amplitude analisys for single curve takes from 1 to 4...
    Downloads: 0 This Week
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  • 11
    LSGTL means LLX’s Static Graph Template Library which is a light-weighted header-only template library developed mainly for static graph analysis. LSGTL is expected to be used in laboratories for research purposes mostly.
    Downloads: 0 This Week
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