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@nukularrr nukularrr released this 15 Jul 20:53
· 46 commits to main since this release
v0.1.1rc5
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EQUI(NE)^2 (equine): Establishing Quantified Uncertainty for Neural Networks

The goal of this package is to make it simple to add modern uncertainty quantification (UQ) techniques to existing PyTorch models to produce label predictions with calibrated probabilities and out-of-distribution indicators.

What's Changed

  • Added the Zenodo-linked DOI via GitHub integration.
  • Added automatic versioning via setuptools_scm

Full Changelog: v0.1.1rc4...v0.1.1rc5

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