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Topic: "bayesian-convnets"

kumar-shridhar/PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Language: Python - Size: 66.2 MB - Last synced at: 28 days ago - Pushed at: about 1 year ago - Stars: 1,498 - Forks: 329

SuperBruceJia/EEG-BayesianCNN

This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.

Language: Python - Size: 204 KB - Last synced at: 9 days ago - Pushed at: almost 5 years ago - Stars: 30 - Forks: 3

alexrakowski/mc-dropout-mnist

Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf

Language: Python - Size: 3.91 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 30 - Forks: 3

kumar-shridhar/PyTorch-Bayesian-Super-Resolution

Super Resolution using Bayesian CNN

Language: Python - Size: 2.14 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 3

Related Topics
bayesian-inference 3 bayesian 2 bayesian-neural-networks 2 convolutional-neural-networks 2 pytorch 2 pytorch-implementation 1 aleatoric-uncertainties 1 bayes 1 bayes-by-backprop 1 bayesian-deep-learning 1 bayesian-network 1 bayesian-networks 1 bayesian-statistics 1 image-recognition 1 python 1 pytorch-cnn 1 variational-bayes 1 variational-inference 1 eeg-signals-classification 1 eeg-signals 1 eeg-classification 1 eeg 1 bayesian-methods 1 bayesian-cnns 1 uncertainty-neural-networks 1 mnist 1 mc-dropout 1 keras 1 deep-learning 1 super-resolution 1