Showing 4 open source projects for "python data analysis"

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  • AestheticsPro Medical Spa Software Icon
    AestheticsPro Medical Spa Software

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  • 1
    Frouros

    Frouros

    Frouros is an open-source Python library for drift detection

    Frouros is a Python library for drift detection in machine learning systems that provides a combination of classical and more recent algorithms for both concept and data drift detection.
    Downloads: 6 This Week
    Last Update:
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  • 2
    changedetection.io

    changedetection.io

    The best free open source website change detection and restock service

    Loved by smart shoppers, data journalists, research engineers, data scientists, security researchers, and more. From simply monitoring website pages that have a change (such as watching prices, and restocking notifications), to deep inspection such as PDF text support, JSON and XML monitoring, and extensive text triggers. Monitor out-of-stock products and get alerts when those products are back in stock, get restock alerts via Discord, Slack, email, and many other platforms. Using the...
    Downloads: 14 This Week
    Last Update:
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  • 3
    Changelog CI

    Changelog CI

    Changelog CI is a GitHub Action that enables a project

    Changelog CI is a GitHub Action that enables a project to automatically generate changelogs. Changelog CI can be triggered on pull_request, workflow_dispatch, and any other events that can provide the required inputs. Changelog CI uses python and GitHub API to generate a changelog for a repository. First, it tries to get the latest release from the repository (If available). Then, it checks all the pull requests/commits merged after the last release using the GitHub API. After that, it parses the data and generates the changelog. It is able to use Markdown or reStructuredText to generate a Changelog. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    DDPM-CD

    DDPM-CD

    Remote sensing change detection using denoising diffusion models

    This is the Pytorch implementation of Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models. The generated images contain objects that we commonly see in real remote sensing images, such as buildings, trees, roads, vegetation, water surfaces, etc., demonstrating the powerful ability of the diffusion models to extract key semantics that can be further used in remote sensing change detection. We fine-tune a light-weight change detection head which takes multi-level...
    Downloads: 10 This Week
    Last Update:
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