Local-Conformal-Prediction-Torch is a PyTorch-compatible library implementing Local Conformal Prediction (LCP) with neural kernel quantile estimation.
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Mar 1, 2026 - Python
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uncertianty-quantification
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Ba(yesian) Ra(infall extremes) N(etwork design). This repository presents Bayesian, Maximum Likelihood, and L-moments inference methods' effect on IDF curve computation — and how those choices impact urban drainage design.
pipe bayesian-inference moments mcmc idf uncertainty-propagation cmip6 hamiltonian-monte-carlo precipitation nuts mle drainage intensity-duration-frequency extreme-value-analysis cmip6-data-download precipitation-analysis extreme-value-distribution aorc uncertianty-quantification
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May 19, 2026 - Jupyter Notebook
Gaussian Mixture Belief Propagation (GMBP) implementation for fusion uncertainty quantification (KIT/IIIT). Implementation by Alper Saritas under supervision of M.Sc Luisa Hoffmann.
gaussian-mixture-models probabilistic-graphical-models belief-propagation gaussian-belief-propagation gabp uncertianty-quantification gmbp gaussian-mixture-belief-propagation
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May 22, 2026 - Python
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