Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
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Updated
Apr 19, 2024 - Python
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Building a Bayesian deep learning classifier
Bayesian Deep Learning Benchmarks
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
Bayesian Deep Learning: A Survey
PyTorch implementation of "Weight Uncertainty in Neural Networks"
Sparse Variational Dropout, ICML 2017
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
MLSS2019 Tutorial on Bayesian Deep Learning
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
Structured Bayesian Pruning, NIPS 2017
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
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