Fortuna, an open-source library for uncertainty quantification of ML models, is now available

[Amazon Web Services]

We are excited to announce the general availability of Fortuna, an open-source library for uncertainty quantification of ML models. Fortuna provides calibration methods, such as conformal prediction, that can be applied to any trained neural network to obtain calibrated uncertainty estimates. The library further supports a number of Bayesian inference methods that can be applied to deep neural networks written in Flax.

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