Topic: bayesian-deep-learning Goto Github
Some thing interesting about bayesian-deep-learning
Some thing interesting about bayesian-deep-learning
bayesian-deep-learning,Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
User: akashmondal1810
bayesian-deep-learning,Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
User: armanihm
bayesian-deep-learning,
User: asajatovic
bayesian-deep-learning,Sparse Variational Dropout, ICML 2017
Organization: bayesgroup
bayesian-deep-learning,Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
User: borchero
Home Page: https://arxiv.org/abs/2105.04471
bayesian-deep-learning,Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Organization: cambridge-mlg
bayesian-deep-learning,Attending to Discriminative Certainty for Domain Adaptation
Organization: delta-lab-iitk
Home Page: https://delta-lab-iitk.github.io/CADA/
bayesian-deep-learning,Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
Organization: dlr-rm
bayesian-deep-learning,General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
Organization: dtak
Home Page: https://arxiv.org/abs/2010.10969
bayesian-deep-learning,In which I try to demystify the fundamental concepts behind Bayesian deep learning.
User: ericmjl
Home Page: https://ericmjl.github.io/bayesian-deep-learning-demystified/
bayesian-deep-learning,ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
Organization: explainableml
bayesian-deep-learning,Uncertainty Guided Progressive GANs for Medical Image Translation
Organization: explainableml
bayesian-deep-learning,Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"
User: feuermagier
bayesian-deep-learning,Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
User: fregu856
Home Page: http://www.fregu856.com
bayesian-deep-learning,This repo contains the notebooks that is used in Medium posts.
User: frightera
bayesian-deep-learning,pytorch implementation of Structured Bayesian Pruning
User: gaosh
bayesian-deep-learning,ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition
User: gauthamkrishna-g
Home Page: https://arxiv.org/abs/1906.00108
bayesian-deep-learning,This repository contains an official implementation of LPBNN.
User: giannifranchi
bayesian-deep-learning,Second Order Optimization and Curvature Estimation with K-FAC in JAX.
Organization: google-deepmind
bayesian-deep-learning,Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
Organization: intellabs
bayesian-deep-learning,A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Organization: intellabs
bayesian-deep-learning,MLSS2019 Tutorial on Bayesian Deep Learning
User: ivannz
bayesian-deep-learning,Bayesian Deep Learning: A Survey
User: js05212
bayesian-deep-learning,Officially unofficial TensorFlow code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
User: js05212
bayesian-deep-learning,Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.
Organization: juliaepi
Home Page: https://juliaepi.github.io/MathEpiDeepLearning/
bayesian-deep-learning,Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
Organization: juliatrustworthyai
Home Page: https://juliatrustworthyai.github.io/LaplaceRedux.jl/
bayesian-deep-learning,TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
User: junyuchen245
bayesian-deep-learning,Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
User: kumar-shridhar
bayesian-deep-learning,Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
User: kumar-shridhar
bayesian-deep-learning,Building a Bayesian deep learning classifier
User: kyle-dorman
Home Page: https://medium.com/towards-data-science/building-a-bayesian-deep-learning-classifier-ece1845bc09
bayesian-deep-learning,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".
User: langnico
bayesian-deep-learning,Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components
User: lucadellalib
bayesian-deep-learning,A PyTorch Implementation of Convolutional Conditional Neural Process.
User: makora9143
bayesian-deep-learning,PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)
User: mjpyeon
bayesian-deep-learning,Structured Bayesian Pruning, NIPS 2017
User: necludov
bayesian-deep-learning,PyTorch implementation of "Weight Uncertainty in Neural Networks"
User: nitarshan
Home Page: https://www.nitarshan.com/bayes-by-backprop/
bayesian-deep-learning,Bayesian Deep Learning Benchmarks
Organization: oatml
bayesian-deep-learning,BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability
User: obiyoag
bayesian-deep-learning,A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
User: piesposito
bayesian-deep-learning,Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"
Organization: reml-lab
bayesian-deep-learning,The Deep Weight Prior, ICLR 2019
Organization: samsunglabs
bayesian-deep-learning,The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
User: shangqigao
bayesian-deep-learning,Overview of Bayesian Deep Learning
User: shreyavshetty
bayesian-deep-learning,A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
User: sungyubkim
bayesian-deep-learning,Open Source Photometric classification https://supernnova.readthedocs.io
Organization: supernnova
bayesian-deep-learning,Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
User: thudzj
bayesian-deep-learning,Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
User: thudzj
Home Page: https://thudzj.github.io/ScalableBDL/
bayesian-deep-learning,Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Organization: uncertainty-toolbox
Home Page: https://uncertainty-toolbox.github.io
bayesian-deep-learning,(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
User: xxxnell
Home Page: https://arxiv.org/abs/2105.12639
bayesian-deep-learning,Implementations of the ICML 2017 paper (with Yarin Gal)
User: yingzhenli
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