Topic: bayesian-neural-networks Goto Github
Some thing interesting about bayesian-neural-networks
Some thing interesting about bayesian-neural-networks
bayesian-neural-networks, On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
User: activatedgeek
Home Page: https://arxiv.org/abs/2203.16481
bayesian-neural-networks,Bayesian Neural Network in PyTorch
User: anassinator
bayesian-neural-networks,WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
User: anassinator
bayesian-neural-networks,Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
User: armanihm
bayesian-neural-networks,A Python package for building Bayesian models with TensorFlow or PyTorch
User: brendanhasz
Home Page: http://probflow.readthedocs.io
bayesian-neural-networks,Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Organization: cambridge-mlg
bayesian-neural-networks,[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation
User: cogito2012
bayesian-neural-networks,The implementation of "Uncertainty-Aware Robust Adaptive Video Streaming with Bayesian Neural Network and Model Predictive Control" (NOSSDAV 2021)
User: confiwent
bayesian-neural-networks,Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
Organization: deargen
bayesian-neural-networks, Visual Explanation using Uncertainty based Class Activation Maps
Organization: delta-lab-iitk
bayesian-neural-networks,Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
Organization: dtak
bayesian-neural-networks,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-neural-networks,Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras
Organization: episci
bayesian-neural-networks,Natural Gradient, Variational Inference
User: gd-zhang
bayesian-neural-networks,Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
User: holybayes
bayesian-neural-networks,A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Organization: huawei-noah
Home Page: https://arxiv.org/abs/1811.11103
bayesian-neural-networks,Acoustic mosquito detection code with Bayesian Neural Networks
Organization: humbug-mosquito
bayesian-neural-networks,Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
User: ibarrond
bayesian-neural-networks,A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Organization: intellabs
bayesian-neural-networks,PyTorch Implementations of Dropout Variants
User: j-min
bayesian-neural-networks,Awesome resources on normalizing flows.
User: janosh
bayesian-neural-networks,Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
User: javierantoran
bayesian-neural-networks,A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"
User: konstantinos-p
Home Page: https://arxiv.org/abs/2309.16314
bayesian-neural-networks,A collection of Methods and Models for various architectures of Artificial Neural Networks
User: kourouklides
bayesian-neural-networks,Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
User: kumar-shridhar
bayesian-neural-networks,Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
User: kumar-shridhar
bayesian-neural-networks,Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Organization: lightning-uq-box
Home Page: https://lightning-uq-box.readthedocs.io/en/latest/
bayesian-neural-networks,Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures
User: lorinanthony
bayesian-neural-networks,ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
User: martinferianc
bayesian-neural-networks,On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
User: martinferianc
bayesian-neural-networks,Python 3.7 version of David Barber's MATLAB BRMLtoolbox
User: mauroce
bayesian-neural-networks,Deep Probabilistic Programming Examples in Pytorch using pyro
User: navneet-nmk
bayesian-neural-networks,PyTorch implementation of "Weight Uncertainty in Neural Networks"
User: nitarshan
Home Page: https://www.nitarshan.com/bayes-by-backprop/
bayesian-neural-networks,FPGA-based hardware acceleration for dropout-based Bayesian Neural Networks.
User: os-hxfan
bayesian-neural-networks,Code for the paper Implicit Weight Uncertainty in Neural Networks
User: pawni
bayesian-neural-networks,A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
User: piesposito
bayesian-neural-networks,TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
User: pomonam
bayesian-neural-networks,Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.
User: ramon-oliveira
bayesian-neural-networks,Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks
User: rylanschaeffer
bayesian-neural-networks,Deep Bayesian Optimization for Problems with High-Dimensional Structure
User: samuelkim314
bayesian-neural-networks,A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
User: sungyubkim
bayesian-neural-networks,Open Source Photometric classification https://supernnova.readthedocs.io
Organization: supernnova
bayesian-neural-networks,Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
User: thudzj
Home Page: https://thudzj.github.io/ScalableBDL/
bayesian-neural-networks,Bayesian inference with probabilistic programming.
Organization: turinglang
Home Page: https://turinglang.org
bayesian-neural-networks,Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Organization: uncertainty-toolbox
Home Page: https://uncertainty-toolbox.github.io
bayesian-neural-networks,Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
User: xwinxu
Home Page: https://arxiv.org/abs/2102.06559
bayesian-neural-networks,(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-neural-networks,(AAAI 2021) Official TensorFlow implementation of "Vector Quantized Bayesian Neural Network Inference for Data Streams", a temporal smoothing for efficient uncertainty estimation
User: xxxnell
Home Page: https://arxiv.org/abs/1907.05911
bayesian-neural-networks,Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
User: ykwon0407
bayesian-neural-networks,Gaussian Processes for Experimental Sciences
User: ziatdinovmax
Home Page: http://gpax.rtfd.io
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