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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
7 lines
232 B
Bash
Executable File
7 lines
232 B
Bash
Executable File
#! /bin/env bash
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docker build --tag train --file Dockerfile.train . && \
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docker run --name train_container train && \
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docker cp train_container:/project/dev . && \
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docker rm "$(docker ps -a --filter name=train_container -q)"
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