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zeekay
9546c92611
ML examples: - credit_scoring: Credit risk prediction with HMEQ data - disease_prediction: Healthcare ML on encrypted records - cifar: Encrypted image classification - federated_learning: Distributed FHE training - hybrid_model: Mixed FHE/plaintext inference Deployment: - breast_cancer: Cancer detection API - sentiment_analysis: Encrypted NLP - server: FHE inference server Blockchain: - hardhat-template: Solidity + FHE - react-template: Full dApp with FHE
14 lines
338 B
INI
14 lines
338 B
INI
[MODEL]
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ARCH: CNV
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PRETRAINED_URL: https://github.com/Xilinx/brevitas/releases/download/bnn_pynq-r0/cnv_2w2a-0702987f.pth
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EVAL_LOG: https://github.com/Xilinx/brevitas/releases/download/cnv_test_ref-r0/cnv_2w2a_eval-5aaca4c6.txt
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DATASET: CIFAR10
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IN_CHANNELS: 3
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NUM_CLASSES: 10
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[QUANT]
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WEIGHT_BIT_WIDTH: 2
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ACT_BIT_WIDTH: 2
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IN_BIT_WIDTH: 8
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