Showing 4 open source projects for "machine learning python"

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    Maths, CS & AI Compendium

    Maths, CS & AI Compendium

    Become a cracked AI/ML Research Engineer

    ...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. It also addresses operating systems, algorithms, production software, GPU programming, AI inference, and ML systems design. Readers need only elementary mathematics and basic Python knowledge to begin. A bundled MCP server lets compatible AI assistants use the locally cloned compendium as a knowledge base. ...
    Downloads: 0 This Week
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  • 2
    freeCodeCamp

    freeCodeCamp

    freeCodeCamp.org's open-source codebase and curriculum

    freeCodeCamp is a nonprofit educational platform that offers a self-paced curriculum for learning web development, programming, data visualization, APIs, and algorithms. It features interactive coding challenges, real-world projects, and guided progress through topic modules, culminating in certificates for completed tracks. A key aspect is that students contribute to open-source projects for nonprofits or internal tooling as part of their learning, reinforcing both technical and...
    Downloads: 40 This Week
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  • 3
    OpenScience

    OpenScience

    The open-source AI workbench for scientific research

    ...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: 3 This Week
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  • 4
    Codefather

    Codefather

    A programmer's guide to programming

    Codefather is a large programming learning resource and guide maintained by the creator “程序员鱼皮” (Programmer Yupi) that aggregates comprehensive learning pathways, tutorials, knowledge sharing, and practical project examples for many programming languages and technologies. It’s designed to serve as a one-stop programming encyclopedia that covers foundational learning routes for Java, front-end, Python, C++, algorithms, and core computer science topics, making it useful for beginners, career-changers, and students. ...
    Downloads: 0 This Week
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