Showing 4 open source projects for "open project"

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    Open Science

    Open Science

    Open Science is an open-source, local-first, model-agnostic research

    Open Science is an open-source, local-first AI research workbench built for scientific discovery on macOS, Windows, and Linux. Researchers can describe a task in plain language and let an agent inspect files, execute Python or R, search the web, and call scientific data connectors. The system is model-agnostic, allowing users to connect supported providers, compatible gateways, or subscription-based backends.
    Downloads: 53 This Week
    Last Update:
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  • 2
    OpenScience

    OpenScience

    The open-source AI workbench for scientific research

    ...It supports frontier, open-weight, and local models through bring-your-own-key provider configuration. The project includes research agents, domain specialists, critique agents, literature-review agents, and more than 290 scientific skills. OpenScience is especially useful for machine learning, biology, physics, chemistry, and research automation workflows that need tool use and provenance.
    Downloads: 4 This Week
    Last Update:
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  • 3
    Maths, CS & AI Compendium

    Maths, CS & AI Compendium

    Become a cracked AI/ML Research Engineer

    Maths, CS & AI Compendium is an open educational project that explains mathematics, computing, and artificial intelligence from foundational concepts through advanced engineering topics. It favors intuition, practical context, and connected explanations over dense textbook notation. Its chapters cover vectors, matrices, calculus, statistics, probability, machine learning, language processing, computer vision, speech, multimodal learning, robotics, and graph neural networks. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Qualify

    Qualify

    Claude code to help you do lead research and qualification

    Qualify is a lightweight micro-CRM prototype and automation framework geared toward helping small teams and individual users manage leads, tasks, customer interactions, and simple sales pipelines without the overhead of traditional enterprise platforms. Rather than trying to replicate every feature of a full CRM suite, it focuses on core workflows like capturing leads, tracking stages, logging interactions, and generating reminders or alerts for follow-ups so that users spend more time...
    Downloads: 0 This Week
    Last Update:
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