An open API service providing repository metadata for many open source software ecosystems.

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

Related Topics
deep-learning 44 pytorch 34 bayesian-neural-networks 28 bayesian-inference 21 machine-learning 19 uncertainty-quantification 16 variational-inference 16 uncertainty-estimation 14 uncertainty 9 bayes-by-backprop 9 deep-neural-networks 8 convolutional-neural-networks 7 monte-carlo-dropout 6 bayesian 6 python 6 neural-networks 5 laplace-approximation 5 uncertainty-neural-networks 5 bayesian-neural-network 5 data-science 4 active-learning 4 time-series 4 julia 4 mc-dropout 4 keras 4 tensorflow 4 mathematical-epidemiology 3 physics-informed-neural-networks 3 stein-variational-gradient-descent 3 tensorflow-probability 3 bayesian-optimization 3 probabilistic-machine-learning 3 neural-network 3 scientific-machine-learning 3 probabilistic-deep-learning 3 jupyter-notebook 3 mathematical-biology 3 universal-differential-equations 3 approximate-inference 3 dropout 3 image-segmentation 3 data-driven-model 2 metropolis-hastings-algorithm 2 domain-adaptation 2 epistemic-uncertainty 2 data-analysis 2 c-mapss 2 probabilistic-programming 2 remaining-useful-life 2 aleatoric-uncertainty 2 model-generalization 2 continual-learning 2 reinforcement-learning 2 computer-vision 2 statistics 2 deep-ensembles 2 predictive-uncertainty 2 bayesian-statistics 2 arxiv 2 vi 2 reproducibility 2 pyro 2 recurrent-neural-networks 2 hmc 2 neural-architecture-search 2 network-depths 2 learnt-depth 2 vision-transformer 2 image-registration 2 bayesian-network 2 expectation-maximization 2 variational-bayes 2 large-language-models 2 deeplearning 2 pytorch-implementation 2 neural-differential-equations 2 uncertainty-calibration 2 probabilistic-neural-network 2 bayesian-layers 2 medical-imaging 2 image-to-image-translation 2 gans 2 epidemiological-models 2 gaussian-processes 2 out-of-distribution-detection 2 image-recognition 2 recommender-system 2 bdl 2 bayes 2 diabetic-retinopathy 2 robustness 2 reproducible-research 2 reproducible-paper 2 pinns 1 scientific-computing 1 nlp 1 text-classification 1 benchmark-framework 1 diffusion-models 1 link-prediction 1