Showing 6 open source projects for "google-visualization-python"

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    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: 7 This Week
    Last Update:
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  • 2
    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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  • 3
    Open-CD

    Open-CD

    A Change Detection Repo Standing on the Shoulders of Giants

    Open-CD is an open source change detection toolbox based on a series of open source general vision task tools.
    Downloads: 5 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: 0 This Week
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    ChangeFormer

    ChangeFormer

    A Transformer-Based Siamese Network for Change Detection

    Here, we provide the PyTorch implementation of the paper: A Transformer-Based Siamese Network for Change Detection.
    Downloads: 2 This Week
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  • 6
    AET

    AET

    Detects visual changes on websites and performs page health checks

    AET is a system that detects visual changes on websites and performs basic page health checks (like w3c compliance, accessibility, HTTP status codes, JS Error checks and others). AET is designed as a flexible system that can be adapted and tailored to the regression requirements of a given project. The tool has been developed to aid front-end client-side layout regression testing of websites or portfolios, in essence assessing the impact or change of a website from one snapshot to the next.
    Downloads: 5 This Week
    Last Update:
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