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This project will be a showcase of various self-implemented one-bit ML models, both the regular 1-bit method and the 1.58-BitNet style. Most of the data parsing will be done in Python, while the actual Machine Learning calls for the 1-bit and 1.58-BitNet models will be done in Rust.

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A CLI project that implements one-bit-ml models for image recognition and generative purposes, as well as provides a way to compare them to regular ML models.

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