Search Results for "multiple linear regression"

Showing 4 open source projects for "multiple linear regression"

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    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
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    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. ...
    Downloads: 1 This Week
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  • 3
    uuv e2e accessibility testing

    uuv e2e accessibility testing

    Open-source platform for automated accessibility testing.

    UUV is an open-source platform that automates accessibility testing for web. It helps development, QA, and accessibility teams detect accessibility issues early, improve software quality, and maintain compliance with standards such as WCAG, RGAA, RAWEB. The UUV Desktop Assistant allows users to inspect UI elements, verify accessibility properties, and automatically generate reusable Gherkin scenarios and accessibility assertions. Test execution produces detailed reports with errors,...
    Downloads: 89 This Week
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  • 4
    Diem

    Diem

    Blockchain project originally backed by Meta

    Diem is the now-discontinued blockchain project originally backed by Meta (formerly Libra), built in Rust using the Move smart contract language. Designed for secure, programmable payments and asset management, its open‑source code was released under Apache 2.0. Although the network was never launched, the project remains an important foundation for Move-based ecosystems.
    Downloads: 0 This Week
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