Showing 5 open source projects for "detection"

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  • Stop Storing Third-Party Tokens in Your Database Icon
    Stop Storing Third-Party Tokens in Your Database

    Auth0 Token Vault handles secure token storage, exchange, and refresh for external providers so you don't have to build it yourself.

    Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    CleanVision

    CleanVision

    Automatically find issues in image datasets

    ...This package currently detects issues in the raw images themselves, making it a useful tool for any computer vision task such as: classification, segmentation, object detection, pose estimation, keypoint detection, generative modeling, etc.
    Downloads: 6 This Week
    Last Update:
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  • 2
    ydata-profiling

    ydata-profiling

    Create HTML profiling reports from pandas DataFrame objects

    ydata-profiling primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas df.describe() function, that is so handy, ydata-profiling delivers an extended analysis of a DataFrame while allowing the data analysis to be exported in different formats such as html and json.
    Downloads: 6 This Week
    Last Update:
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  • 3
    Cleanlab

    Cleanlab

    The standard data-centric AI package for data quality and ML

    cleanlab helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models. cleanlab cleans your data's labels via state-of-the-art confident learning algorithms, published in this paper and blog. See some of the datasets cleaned with cleanlab at labelerrors.com. This package helps you...
    Downloads: 4 This Week
    Last Update:
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  • 4
    WhyLogs Java Library

    WhyLogs Java Library

    Profile and monitor your ML data pipeline end-to-end

    This is a Java implementation of WhyLogs, with support for Apache Spark integration for large scale datasets. Understanding the properties of data as it moves through applications is essential to keeping your ML/AI pipeline stable and improving your user experience, whether your pipeline is built for production or experimentation. WhyLogs is an open source statistical logging library that allows data science and ML teams to effortlessly profile ML/AI pipelines and applications, producing log...
    Downloads: 0 This Week
    Last Update:
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  • Atera - an All-in-one platform for IT management Icon
    Atera - an All-in-one platform for IT management

    Ideal for IT departments and MSPs (managed service providers)

    Your IT essentials, integrated & elevated. Take your IT management from automated to autonomous, download Atera's agent to start your free trial!
    Try Atera now
  • 5
    DataCleaner

    DataCleaner

    Data quality analysis, profiling, cleansing, duplicate detection +more

    DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Website: http://datacleaner.github.io
    Downloads: 4 This Week
    Last Update:
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