Showing 2 open source projects for "python code"

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  • Intelligent testing agents | Checksum.ai Icon
    Intelligent testing agents | Checksum.ai

    Checksum generates, runs, and maintains end-to-end tests automatically so your team ships with confidence as code output grows.

    Coding agents write the code. Checksum runs it—continuously testing against real APIs, real data, real edge cases—before it ever reaches production.
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  • SalesTarget.ai | AI-Powered Lead Generation, Email Outreach, and CRM Icon
    SalesTarget.ai | AI-Powered Lead Generation, Email Outreach, and CRM

    SalesTarget.ai streamlines your sales process, providing everything you need to find high- quality leads, automate outreach, and close deals faster

    SalesTarget is ideal for B2B sales teams, startup founders, and marketing professionals looking to streamline lead generation and outreach. It also benefits growing SaaS companies and agencies aiming to scale their outbound efforts efficiently.
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    Intel neon

    Intel neon

    Intel® Nervana™ reference deep learning framework

    neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu...
    Downloads: 0 This Week
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  • 2
    Python Machine Learning book

    Python Machine Learning book

    The book code repository and info resource

    What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning. From theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book. I aim to explain all the underlying concepts, tell you everything you need to know in terms of best practices and caveats, and we will put those concepts into action mainly using NumPy, scikit-learn, and Theano. This is not...
    Downloads: 2 This Week
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