Alternatives and similar repositories for UQ_BNN

Users that are interested in UQ_BNN are comparing it to the libraries listed below

• tanyanair / segmentation_uncertainty
  ☆84Updated 7 years ago
• hutec / UncertaintyNN
  Implementation and evaluation of different approaches to get uncertainty in neural networks
  ☆141Updated 7 years ago
• DIAGNijmegen / neural-odes-segmentation
  Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
  ☆112Updated 5 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆89Updated 9 months ago
• 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
  ☆30Updated 5 years ago
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆66Updated 5 years ago
• pmorerio / dl-uncertainty
  "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
  ☆209Updated 5 years ago
• chleibig / disease-detection
  ☆33Updated 7 years ago
• jenspetersen / probabilistic-unet
  A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth
  ☆43Updated 6 years ago
• baumgach / vagan-code
  Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'
  ☆56Updated 2 years ago
• JunMa11 / MedUncertainty
  Uncertainty in Medical Image Analysis
  ☆318Updated 3 years ago
• tueimage / SE2CNN
  ☆68Updated 6 years ago
• jayheo / UA
  ☆24Updated 6 years ago
• jysonganan / DeepLearningSurvival
  PyTorch implementation of Deep Survival Models.
  ☆18Updated 7 years ago
• vvanirudh / deep-ensembles-uncertainty
  My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
  ☆139Updated 7 years ago
• stefanknegt / Probabilistic-Unet-Pytorch
  A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
  ☆290Updated 6 years ago
• laurahanu / 2D-and-3D-Deep-Autoencoder
  Convolutional AutoEncoder application on MRI images
  ☆77Updated 8 years ago
• Kyushik / Predictive-Uncertainty-Estimation-using-Deep-Ensemble
  This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
  ☆157Updated 3 years ago
• atilberk / evidential-deep-learning-to-quantify-classification-uncertainty
  Work on Evidential Deep Learning to Quantify Classification Uncertainty
  ☆60Updated 6 years ago
• yding5 / AdaptiveBinning
  Adaptive-binning for evaluation of confidence calibration
  ☆12Updated 6 years ago
• andyhahaha / Uncertainty-Mnist-with-Pytorch
  Uncertainty estimation on Mnist dataset
  ☆23Updated 7 years ago
• xuwd11 / Dropout_Tutorial_in_PyTorch
  Dropout as Regularization and Bayesian Approximation
  ☆58Updated 6 years ago
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆272Updated 3 years ago
• IntelLabs / AVUC
  Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
  ☆55Updated 2 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 7 years ago
• fregu856 / evaluating_bdl
  Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
  ☆133Updated 5 years ago
• MIC-DKFZ / probabilistic_unet
  A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
  ☆23Updated 6 years ago
• baumgach / PHiSeg-code
  Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
  ☆128Updated 2 years ago
• mlaves / well-calibrated-regression-uncertainty
  Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
  ☆31Updated 4 years ago
• yuta-hi / pytorch_bayesian_unet
  Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
  ☆59Updated 5 years ago