Showing 3 open source projects for "machine learning regression"

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  • 1
    APIAuto

    APIAuto

    The most advanced tool for HTTP API

    The most powerful and easy-to-use HTTP interface tool for agile development, machine learning zero-code testing, code generation and static inspection, document generation and cursor suspension comments. A one-stop experience integrating documentation, testing, mocking, debugging, and management, as well as efficient and easy-to-use shortcut keys such as one-key formatting, commenting/uncommenting, etc. In terms of common functions, it far exceeds Postman, Swagger, YApi and other open-source and commercial API documentation/testing tools, and can import use cases and documents with one click. ...
    Downloads: 0 This Week
    Last Update:
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  • 2
    TinyWebServer

    TinyWebServer

    Web server framework for Linux

    ...HTTP request parsing via a state machine capable of processing GET and POST. Tested under high concurrency (Webbench) to support tens of thousands of simultaneous connections.
    Downloads: 1 This Week
    Last Update:
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  • 3
    Train and Validate QSAR models using state-of-the-art learning algorithms like SVM. Build classification and regression and use them to make predictions. The whole project is intended to serve the need for toxicological predictions.
    Downloads: 0 This Week
    Last Update:
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