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    Colossal-AI

    Colossal-AI

    Making large AI models cheaper, faster and more accessible

    The Transformer architecture has improved the performance of deep learning models in domains such as Computer Vision and Natural Language Processing. Together with better performance come larger model sizes. This imposes challenges to the memory wall of the current accelerator hardware such as GPU. It is never ideal to train large models such as Vision Transformer, BERT, and GPT on a single GPU or a single machine. There is an urgent demand to train models in a distributed environment....
    Downloads: 0 This Week
    Last Update:
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    Butteraugli

    Butteraugli

    Estimates the psychovisual difference between two images

    ...Because it is deterministic and fast, it can be used in automated pipelines to gate releases on visual quality, not just file size.
    Downloads: 1 This Week
    Last Update:
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