Shypd.aiThe largest open index of AI toolsLaplace is an open-source research tool that facilitates Laplace approximations for deep learning models. It enables posterior approximations, marginal-likelihood estimation, and various posterior predictive computations for neural networks.
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Laplace is an open-source Python package designed to simplify the application of Laplace approximations within deep learning. It supports various configurations, including approximations for entire neural networks, specific subnetworks, or just their last layer. The package provides functionalities for posterior approximations, marginal-likelihood estimation, and a range of posterior predictive computations. It is accompanied by a research paper, "Laplace Redux—Effortless Bayesian Deep Learning," which introduces the library and demonstrates its versatility. Users are encouraged to experiment with different options like Hessian factorization and prior precision tuning methods to optimize its performance for specific applications.
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