Topic: "bayesian-deep-learning"
cb-g/PAI
Language: Python - Size: 4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

andreas-theilgaard/Active-Bayesian-Deep-Learning-For-Image-Segmentation
Language: Python - Size: 479 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

continental/kiwissen-bayesian-trajectory-prediction
Framework for integrating prior knowledge into trajectory prediction models for autonomous driving via Bayesian continual learning.
Language: Python - Size: 4.01 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

icml-paper-2959/bdlb
A Systematic Comparison of Robustness in Bayesian Deep Learning on Diabetic Retinopathy Diagnosis Tasks
Language: Python - Size: 946 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mlech26l/bayesian_nn_safety
Code repository of the NeurIPS 2021 paper Infinite Time Horizon Safety of Bayesian Neural Networks
Language: Python - Size: 3.81 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

gozsoy/bayes-by-backprop
PyTorch implementation of the paper 'Weight Uncertainty in Neural Networks'
Language: Jupyter Notebook - Size: 102 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

0kam/bayesian_dnns
Practice & experiment of bayesian deep neural networks, mainly using pixyz
Language: Python - Size: 33.5 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

dattv/BNN
Bayesian Neural Network
Language: Python - Size: 1.08 GB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

mariobecerra/msc_thesis
Latex code for my computer science master thesis, "A comparison of frequentist methods and Bayesian approximations in the implementation of Convolutional Neural Networks in an Active Learning setting".
Language: TeX - Size: 14.3 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

glam-imperial/informativeness
Code for the ICASSP'19 submission "Modelling Sample Informativeness for Deep Affective Computing".
Language: Python - Size: 17.6 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

sohamghosh121/natural-parameter-networks
An implementation of natural parameter networks and its extension to GRUs in PyTorch
Language: Python - Size: 65.4 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
