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Installation
Why lightning-uq-box
Tutorials
Regression 1D Tutorials
Mean Variance Estimation
Deep Evidential Regression
Quantile Regresssion
Conformalized Quantile Regression
Gaussian Process Regression
Laplace Approximation
MC-Dropout
Bayes By Backprop - Mean Field Variational Inference
Bayesian Neural Network with Variational Inference and Energy Loss
Bayesian Neural Networks with Latent Variables
Stochastic Weight Averaging - Gaussian (SWAG)
Spectral Normalized Gaussian Process (SNGP) Regression
Deep Kernel Learning
Variational Bayesian Last Layer (VBLL) Regression
Variational Bayesian Last Layer (VBLL) with SNGP Regression
Deep Ensemble
Masksembles
Classification and Regression Diffusion (CARD) Model
ZigZag: Universal Sampling-free Uncertainty Estimation
Evaluation of Predictive Uncertainty
Mixture Density Network 1D Regression
Density Uncertainty Layer
Classification Tutorials
Deterministic Classification
Deep Kernel Learning Classification
Classification and Regression Diffusion (CARD)
Stochastic Weight Averaging - Gaussian (SWAG)
Spectral Normalized Gaussian Process (SNGP) Classification
Laplace Approximation
Masksemble
MC-Dropout Classification
ZigZag Classification MNIST
Bayes By Backprop - Mean Field Variational Inference
Earth Observation Data Tutorials
RAPS with RESICS45
Running Experiments
API
lightning_uq_box.models
lightning_uq_box.datamodules
lightning_uq_box.uq_methods
Contribution Guide
GitHub Repository
Repository
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.md
.pdf
Earth Observation Data Tutorials
Earth Observation Data Tutorials
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RAPS with RESICS45
