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KanakMalpani/Binary-Neural-Networks KanakMalpani/Binary-Neural-Networks Extreme low-bit inference lab: pack weights to 1–1.58 bits and run real XNOR/popcount kernels on CPU/edge — honest STE training, not fake GPU 32× from sign().
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Extreme low-bit inference lab: pack weights to 1–1.58 bits and run real XNOR/popcount kernels on CPU/edge — honest STE training, not fake GPU 32× from sign().
Python
#binary-neural-networks#cpu-inference#edge-ai#machine-learning#model-compression#pytorch#quantization#ternary#xnor
documentation good first issue
KanakMalpani/Binary-Neural-Networks KanakMalpani/Binary-Neural-Networks Extreme low-bit inference lab: pack weights to 1–1.58 bits and run real XNOR/popcount kernels on CPU/edge — honest STE training, not fake GPU 32× from sign().
Open project →
0
Extreme low-bit inference lab: pack weights to 1–1.58 bits and run real XNOR/popcount kernels on CPU/edge — honest STE training, not fake GPU 32× from sign().
Python
#binary-neural-networks#cpu-inference#edge-ai#machine-learning#model-compression#pytorch#quantization#ternary#xnor