Machine learning abstractions for efficient multiprocessing enabled logic with multi-device inference backends, lazy model loading and consistent syntax.
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Machine learning abstractions for efficient multiprocessing enabled logic with multi-device inference backends, lazy model loading and consistent syntax.
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PeterVennerstrom/streamliner
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Machine learning abstractions for efficient multiprocessing enabled logic with multi-device inference backends, lazy model loading and consistent syntax.
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