Showing 4 open source projects for "answer"

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    Pillow

    Pillow

    The friendly Python Imaging Library fork

    If you've ever wondered or worried about the future of Python's Imaging Library, it's time to stop. Pillow is here to answer your concerns, and offer you more. Pillow is the friendly fork of the Python Imaging Library or PIL, a library that adds image processing capabilities to your Python interpreter. Why turn to Pillow? Aside from offering extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities, Pillow is setuptools compatible. ...
    Downloads: 52 This Week
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  • 2
    PyTensor

    PyTensor

    Python library for defining and optimizing mathematical expressions

    PyTensor is a fork of Aesara, a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays. PyTensor is based on Theano, which has been powering large-scale computationally intensive scientific investigations since 2007. A hackable, pure-Python codebase. Extensible graph framework is suitable for rapid development of custom operators and symbolic optimizations. Implements an extensible graph transpilation framework that...
    Downloads: 2 This Week
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  • 3
    Antigravity Awesome Skills

    Antigravity Awesome Skills

    The Ultimate Collection of 700+ Agentic Skills for Claude Code

    ...Because it aims to reduce cognitive overhead, many skills show how to structure intents, handle context, and orchestrate multi-step reasoning without deep technical complexity. It also serves as inspiration for users looking to prototype new use cases — from conversational helpers that answer questions to workflow automators that trigger actions.
    Downloads: 2 This Week
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  • 4
    Question Answering Corpus

    Question Answering Corpus

    Question answering dataset in "Teaching Machines to Read & Comprehend"

    ...Each data instance consists of a news article (context), a generated question, and its corresponding answer, making it suitable for supervised machine learning setups. The output follows a standardized question-answer format, with entity mappings to help models resolve named references.
    Downloads: 5 This Week
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