Showing 2 open source projects for "parallel"

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    Mapping, inventory, config backup, and more.

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  • 1
    Lithops

    Lithops

    A multi-cloud framework for big data analytics

    ...It abstracts cloud providers like IBM Cloud, AWS, Azure, and Google Cloud into a unified interface and turns your Python functions into scalable, event-driven workloads. Lithops is ideal for data processing, ML inference, and embarrassingly parallel workloads, giving you the power of FaaS (Function-as-a-Service) without vendor lock-in. It also supports hybrid cloud setups, object storage access, and simple integration with Jupyter notebooks.
    Downloads: 1 This Week
    Last Update:
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  • 2
    text-dedup

    text-dedup

    All-in-one text de-duplication

    ...This is especially useful for NLP tasks where duplicated training data can skew model performance. text-dedup scales to billions of documents and offers tools for chunking, hashing, and comparing text efficiently with low memory usage. It supports Jaccard similarity thresholding, parallel execution, and flexible deduplication strategies, making it ideal for cleaning web-scraped data, language model training datasets, or document archives.
    Downloads: 0 This Week
    Last Update:
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