Showing 5 open source projects for "learning"

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  • 1
    Learning-SICP

    Learning-SICP

    Collection of Chinese cultural projects and course learning materials

    Learning-SICP is a community project that localizes the MIT course “Structure and Interpretation of Computer Programs” (SICP) and curates complementary study materials for learners, especially Chinese-speaking Scheme/Lisp students. It focuses on translating the official lecture subtitles into Chinese while preserving the original English content for reference, providing an approachable path to a classic foundational course in computer science.
    Downloads: 0 This Week
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  • 2
    GH Archive

    GH Archive

    GH Archive is a project to record the public GitHub timeline

    ...The dataset is also published through Google BigQuery for large-scale SQL-style exploration without downloading every archive. Its structure supports trend analysis, visualizations, machine learning, and open-source ecosystem research. The repository contains the crawler, supporting scripts, and website code, while the actual event files are hosted separately.
    Downloads: 2 This Week
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  • 3
    Software Engineering Blogs

    Software Engineering Blogs

    A curated list of engineering blogs

    ...The project is continuously updated by the community, ensuring that the content remains relevant and reflective of current industry practices. It acts as a valuable learning resource for developers who want to stay informed about real-world engineering challenges and solutions implemented by major organizations. The repository also highlights trends and best practices, providing insights into how modern systems are built and maintained at scale.
    Downloads: 0 This Week
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  • 4

    LightSpeedANN

    Generator for optimized, vectorized neural net code

    This Ruby program takes in a topology specification for an artificial neural network and emits optimized C code (using SSE intrinsics) that implements fast forward and backward propagation for that specific topology.
    Downloads: 0 This Week
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  • 5
    Decision Tree

    Decision Tree

    ID3-based implementation of the ML Decision Tree algorithm

    DecisionTree is a Ruby library that implements decision tree learning with the ID3 information-gain algorithm. It can train models from discrete, continuous, or mixed attribute data. Continuous features are evaluated across possible split points to build threshold-based binary branches. Discrete models classify unique labels and can be rendered for visual inspection. The library supports inconsistent datasets, multiple or symbolic outputs, and fallback values when no branch matches an input. ...
    Downloads: 0 This Week
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