Change-point detection and rate-monitoring for time-tagged event data using Bayesian Blocks (Scargle, 2013)
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Updated
May 30, 2024 - Python
Change-point detection and rate-monitoring for time-tagged event data using Bayesian Blocks (Scargle, 2013)
An evaluation framework for machine learning models simulating high-throughput materials discovery.
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Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
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