整数量化的严格数学验证：随机舍入、误差反馈、位拆分、精度分配、噪声整形、梯度恒等式、网络属性，NumPy/PyTorch 双库互证，开箱即跑。Independent, reproducible, dual-library (NumPy + PyTorch) verification of integer-quantization mathematics. Clone and run.
machine-learning reproducible-research numpy pytorch quantization numerical-analysis error-feedback low-precision neural-network-quantization integer-quantization noise-shaping stochastic-rounding mathematical-verification delta-sigma-modulation
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Updated
Aug 19, 2026 - Python