BethanyL

Bethany Lusch's repositories

neural networks to learn Koopman eigenfunctions

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Suite of tests for network inference methods such as Granger causality

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Update PDEKoopman code to Tensorflow 2

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Shape Constrained Tensor Decomposition (SCTD)

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Bayes Net Toolbox for Matlab

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DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

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Repository for students submitting homework

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Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python

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personal website

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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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The Leek group guide to data sharing

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SWC teaching examples

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