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A playbook for systematically maximizing the performance of deep learning models.

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Summaries / Cheat Sheets created at ETH Zurich BsC Computer Science & MsC Data Science

Exercises for the Big Data lecture at ETH Zurich (Fall 2021)

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Build dirichletprocess objects for data analysis

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Code for the paper "Bayesian Neural Network Priors Revisited"

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Repository of the gamCopula R Package

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Exam summary for Computational Statistics at ETH in the spring semester 2019

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Notes and Fun things related to ETH Zürich Introduction to Machine Learning Course

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Summary for the Computational Statistics Course taught at ETH FS 2019

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Summaries / Cheat Sheets created at ETH Zurich BsC Computer Science & MsC Data Science

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Cheat sheet for lecture "Computational Statistics (Spring 2021)" at ETH, given my Martin Mächler.

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