├── .gitignore ├── LICENSE ├── README.md ├── components ├── bias_detector │ ├── Dockerfile │ ├── component.yaml │ └── src │ │ ├── app.py │ │ ├── fairness_check.py │ │ └── model_files │ │ └── __init__.py ├── kfserving_deployment │ ├── Dockerfile │ ├── admin.yaml │ ├── server_deployment.yaml │ └── src │ │ ├── app.py │ │ ├── kfserving_deployment.py │ │ └── kube │ │ └── kfserving.json ├── robustness_checker │ ├── Dockerfile │ ├── component.yaml │ └── src │ │ ├── app.py │ │ ├── model_files │ │ └── __init__.py │ │ ├── robustness.py │ │ └── robustness_check.py └── secret-gen │ ├── Dockerfile │ ├── component.yaml │ └── src │ └── config.py ├── conf └── JSM2019 │ ├── .gitignore │ ├── Flows │ └── MNIST_single_layer_example.nnd │ ├── Flyer.pdf │ ├── Handout.pdf │ ├── JSM_IBM_DeepLearnWorkshop.pdf │ ├── LICENSE │ ├── MNIST Data │ └── MNIST-pkl.zip │ ├── R Files │ ├── GRU.R │ ├── LSTM.R │ └── RNN.R │ ├── README.md │ └── notebooks │ └── MNIST Keras CNN Example.ipynb ├── docs ├── ConfigureWatsonStudio.docx └── ConfigureWatsonStudio.pdf ├── models ├── mnist_cnn_original.h5 └── mnist_cnn_robust.h5 ├── notebooks ├── adversarial-training-mnist-WS.ipynb ├── adversarial-training-mnist.ipynb ├── ml-pipeline.ipynb ├── mnist_poisoning_demo.ipynb ├── tutorial_credit_scoring.ipynb ├── tutorial_gender_classification.ipynb └── tutorial_medical_expenditure.ipynb ├── requirements.txt └── src ├── gender_classification_training.py ├── gender_classification_training.zip ├── images └── tommy.jpg ├── preprocessing.py ├── preprocessing.zip └── pytorch-serving-base ├── Dockerfile └── app.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/IBM/Trusted-ML-Pipelines/HEAD/.gitignore -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 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