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Open Source No Code/Low Code Data Science Platform for University Hospital Basel

Deep Learning models are getting more and more popular but constraints on explainability, adversarial robustness and fairness are often major concerns for production deployment.Therefore we provide an entirely open source, reusable component framework, visualeditor and execution engine for production grade machine learning on top of Kubernetes, Kubeflow Pipelines, the AI Explainability360 toolkit, the AI Fairness360 toolkit, Elyra and JupyterLab.We showcase the system with an exemplar computer vision use case for COVID19 classification of chest X-Rays.