GitHub topics: mc-dropout
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1,893 - Forks: 308
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
eismont21/knowledge-surrogate-opt
A transformative approach to manufacturing optimization, focusing on the textile forming process. This research synergizes domain-specific knowledge with simulation modeling and introduces Bayesian optimization for efficient parameter space exploration.
Language: Python - Size: 1.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
cplou99/BayesianDL
We provide two notebooks that enable users to explore and experiment with some BDL techniques as Ensembles, MC Dropout and Laplace Approximation. In this way, they allow you to intuitively visualize the main differences among them in a Simulated Dataset and Boston Dataset.
Language: Jupyter Notebook - Size: 5.39 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
kenya-sk/mc_dropout_tensorflow
This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.
Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 5
akapet00/neural-bhte
Numerical solution and uncertainty quantification of Pennes' bioheat transfer equation in 1-D using deep neural network solver.
Language: Jupyter Notebook - Size: 6.14 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1
ronaldseoh/ronald_bdl
An experimental Python package for learning Bayesian Neural Network.
Language: Python - Size: 60.5 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 1
ronaldseoh/DropoutUncertaintyExps Fork of yaringal/DropoutUncertaintyExps
(Forked Version) Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
Language: Jupyter Notebook - Size: 5.11 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2
Kaleidophon/tenacious-toucan
Master thesis for the MSc. Artificial Intelligence at the Universiteit van Amsterdam, 2019
Language: Python - Size: 9.77 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
