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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
162 B
Makefile
11 lines
162 B
Makefile
run_example: three
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one:
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@./train_with_docker.sh
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two: one
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@python ../server/deploy_to_docker.py --only-build
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three: two
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@python build_docker_client_image.py
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