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Search results for uncertainty quantification bayesian neural networks

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9 search results found

Uncertainty Toolbox ⭐ 1,421

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Bayesian Torch ⭐ 396

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Uncertainty quantification using Bayesian neural networks in classification

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Spatial Smoothing ⭐ 51

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Lightning Uq Box ⭐ 35

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Temporal Smoothing ⭐ 16

(AAAI 2021) Official TensorFlow implementation of "Vector Quantized Bayesian Neural Network Inference for Data Streams", a temporal smoothing for efficient uncertainty estimation

Scalablebdl ⭐ 15

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

Understanding Bayesian Classification ⭐ 8

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

1-9 of 9 search results

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