Showing 6 open source projects for "hibernate-annotation"

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  • 1
    Diffgram

    Diffgram

    Training data (data labeling, annotation, workflow) for all data types

    ...This is aimed to reduce your data labeling bills and increase your Training Data Quality. Training Data is the art of supervising machines through data. This includes the activities of annotation, which produces structured data; ready to be consumed by a machine learning model. Annotation is required because raw media is considered to be unstructured and not usable without it. That’s why training data is required for many modern machine learning use cases including computer vision, natural language processing and speech recognition.
    Downloads: 7 This Week
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  • 2
    FiftyOne

    FiftyOne

    The open-source tool for building high-quality datasets

    ...Use it to get hands-on with your data, including visualizing complex labels, evaluating your models, exploring scenarios of interest, identifying failure modes, finding annotation mistakes, and much more! Surveys show that machine learning engineers spend over half of their time wrangling data, but it doesn't have to be that way.
    Downloads: 10 This Week
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  • 3
    Datumaro

    Datumaro

    Dataset Management Framework, a Python library and a CLI tool to build

    ...It supports importing and exporting annotations and images across a wide variety of standards like COCO, PASCAL VOC, YOLO, ImageNet, Cityscapes, and many more, enabling easy integration with different training pipelines and tools. Datumaro makes it easy to merge datasets, split them into training/validation/test subsets, filter or transform annotations, and validate annotation quality — all while preserving metadata and supporting detailed statistics. It’s especially useful when you’re dealing with heterogeneous data sources or need to prepare complex datasets for machine learning workflows, freeing you from writing custom scripts for every format conversion.
    Downloads: 1 This Week
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  • 4
    scArches

    scArches

    Reference mapping for single-cell genomics

    Single-cell architecture surgery (scArches) is a package for reference-based analysis of single-cell data. scArches allows your single-cell query data to be analyzed by integrating it into a reference atlas. By mapping your data into an integrated reference you can transfer cell-type annotation from reference to query, identify disease states by mapping to healthy atlas, and advanced applications such as imputing missing data modalities or spatial locations.
    Downloads: 0 This Week
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  • 5
    pyMantis
    pyMantis is a data-management system for (systems) biology build on the web2py framework. It features: tree based file explorer, relational db table wizzard with automated creation of user interfaces, internal and external access management, wiki, ..
    Downloads: 0 This Week
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  • 6
    idyuts is \"I Dare You to Use This Shell\"; a pre-hibernate approach to replacing an ORM written with jython functors into a pure-Java language command pattern. The \"pipeline codegen artifacts\" are simple IoC templates, and trivial to adapt
    Downloads: 0 This Week
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