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Introduction To Scientific Machine Learning

This repository contains code snippets from excercizes completed during the course "Introduction To Scientific Machine Learning" taught by Prof. Dr. Adams at the Technical University of Munich. The code contains extensive comments added during the semester to express the concepts needed to solve the coding challenges.

  1. Wasserstein GANs with gradient penalty loss term

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