Showing 6 open source projects for "algorithm"

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    Automatically generate, document, and govern your entire data architecture.

    Efficiently model your business and data models, and generate code for your data pipelines, data lakehouse, and analytical applications
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    Electronic Lab Notebook (ELN) Software

    Ideal for any lab. Whether you’re just starting up, a small or large academic institution, or a globally operating company.

    eLabJournal is an all-in-one Electronic Lab Notebook (ELN) software that includes sample tracking and protocol management modules.
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  • 1
    Anime Player

    Anime Player

    Video player for improving quality of hand-drawn images

    A video player that enhances the quality of a hand-drawn image using Anime4K's high-performance scaling algorithm. This program is a video player written in the Python programming language using the PySimpleGUI graphical user interface library, an mpv media player, and the Anime4K scaling algorithm . Anime Player is designed to play video and audio files and includes functions such as opening files, URLs and folders, setting image scaling parameters using the Anime4K algorithm, creating an mpv config for watching videos using the Anime4K algorithm on Android, viewing help and information about tuning the algorithm. ...
    Downloads: 13 This Week
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  • 2
    Real-ESRGAN GUI

    Real-ESRGAN GUI

    Cross-platform GUI for image upscaler Real-ESRGAN

    ...Real-ESRGAN can only enlarge the input image with a fixed 2-4x magnification (related to the selected model). This functionality is achieved by downsampling using a conventional scaling algorithm after multiple calls to Real-ESRGAN. Split each frame of the GIF and record the duration, zoom in one by one and then merge. Drag an image file or directory to any position in the window, and its path can be automatically set as the input.
    Downloads: 119 This Week
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  • 3
    Bayesian Optimization

    Bayesian Optimization

    Python implementation of global optimization with gaussian processes

    This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic...
    Downloads: 3 This Week
    Last Update:
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  • 4
    YT Channel Downloader

    YT Channel Downloader

    Download YouTube channels, playlists, videos, audios with easy login.

    YT Channel Downloader is a powerful and user-friendly application that enables you to selectively or entirely download YouTube channels, playlists or individual videos and audios with ease. The app supports high-quality video and audio downloads, including 4K resolution and best available audio tracks. With a simple YouTube login process, you can download private or age-restricted content using your session cookies. The application offers extensive customization options, allowing you to...
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    Downloads: 333 This Week
    Last Update:
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    The ultimate digital workspace.

    Axero Intranet is an award-winning intranet and employee experience platform.

    Hundreds of companies and millions of employees use Axero’s intranet software to communicate, collaborate, manage tasks and events, organize content, and develop their company culture.
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  • 5
    Upscale

    Upscale

    This program is upscaling any image by a factor 2 using an algorithm

    This program is upscaling any image by a factor 2 using an algorithm of cubic interpolation. You may need to install the following libraries to run the program, tqdm, itertools, and OpenCV.
    Downloads: 0 This Week
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  • 6
    Consistent Depth

    Consistent Depth

    We estimate dense, flicker-free, geometrically consistent depth

    Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. ...
    Downloads: 0 This Week
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