Showing 4 open source projects for "python (scikit-learn)"

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

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  • 1
    SQLModel

    SQLModel

    SQL databases in Python, designed for simplicity, compatibility

    SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy.
    Downloads: 0 This Week
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  • 2
    Motor

    Motor

    The async Python driver for MongoDB and Tornado or asyncio

    ...It provides a familiar API surface similar to the official synchronous PyMongo driver, so you can migrate or write MongoDB code in Python without having to learn a completely new interface. Because it integrates with popular async ecosystems like FastAPI, Sanic, and aiohttp, Motor is a natural fit for modern async Python stacks where throughput and responsiveness matter. It also supports change streams, grid file system (GridFS), and the full range of CRUD and aggregation operations available in MongoDB.
    Downloads: 0 This Week
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  • 3
    Walrus

    Walrus

    Lightweight Python utilities for working with Redis

    The purpose of walrus is to make working with Redis in Python a little easier. Rather than ask you to learn a new library, walrus subclasses and extends the popular redis-py client, allowing it to be used as a drop-in replacement. In addition to all the features in redis-py, walrus adds support for some newer commands, including full support for streams and consumer groups. Persistent structures implemented on top of Hashes.
    Downloads: 0 This Week
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  • 4
    Download code, Learn code, Share code. The Ongoing Object-oriented Perl Project. scripts, tutorials, modules, case studies, anything OOPerl --not excluding contributions of OO discipline in other programming languages.
    Downloads: 0 This Week
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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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