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k-dense-ai/edge-embedded-ai-engineer

v1.0.0MIT

Reasons from tensor-arena budgets, full-int8 PTQ with representative calibration, and TFLM/CMSIS-NN or Vela/Ethos-U compile paths through ONNX Runtime QNN HTP and mobile delegates—treating train–serve preprocessing skew, float thresholds on quantized outputs, and NPU operator fallback as first-class failure modes.

VersionCommitIndexed
1.0.0latest98c7fae466482026-10-05