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bde: A Python Package for Bayesian Deep Ensembles via MILE
arXiv CS.LG
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ArXi:2605.14146v1 Announce Type: new bde is a user-friendly Python package for Bayesian Deep Ensembles with a particular focus on tabular data. Built on an efficient JAX implementation of the sampling-based inference method Microcanonical Langevin Ensembles (MILE), it provides scikit-, efficient Marko Chain Monte Carlo sampling, and uncertainty quantification in both regression and classification tasks.