459 citations · 1.1k across the 17 of their papers we have counts for
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cs.LG2020
Sherpa: Robust Hyperparameter Optimization for Machine Learning
Lars Hertel, Julian Collado, Peter Sadowski +2
Sherpa is a hyperparameter optimization library for machine learning models. It is specifically designed for problems with computationally expensive, iterative function evaluations…
cs.LG2020
A Fortran-Keras Deep Learning Bridge for Scientific Computing
Jordan Ott, Mike Pritchard, Natalie Best +3
Implementing artificial neural networks is commonly achieved via high-level programming languages like Python and easy-to-use deep learning libraries like Keras. These software lib…