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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
11 lines
192 B
Makefile
11 lines
192 B
Makefile
# Useful for jupyter notebooks
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export LC_ALL=en_US.UTF-8
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export LANG=en_US.UTF-8
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TIME_NB="${USE_CASE_DIR}/time_notebook_execution.sh"
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run_example: one
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one:
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@$(TIME_NB) CreditScoring.ipynb
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