Showing 3 open source projects for "learning vector quantization"

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  • 1
    Lance

    Lance

    Modern columnar data format for ML and LLMs implemented in Rust

    Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage.
    Downloads: 2 This Week
    Last Update:
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  • 2
    Linfa

    Linfa

    A Rust machine learning framework

    linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust. Kin in spirit to Python's scikit-learn, it focuses on common preprocessing tasks and classical ML algorithms for your everyday ML tasks.
    Downloads: 0 This Week
    Last Update:
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  • 3
    PostgresML

    PostgresML

    The GPU-powered AI application database

    ...Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. ...
    Downloads: 2 This Week
    Last Update:
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