Alternatives and similar repositories for mc_dropconnect:

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

• mlaves / well-calibrated-regression-uncertainty
  Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
  ☆31Updated 4 years ago
• mlaves / bayesian-temperature-scaling
  Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…
  ☆24Updated 5 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 2 years ago
• AKuzina / DWP
  Pytorch implementation of the DWP with application to MRI segmentation
  ☆9Updated 4 years ago
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆66Updated 4 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆56Updated 6 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 2 years ago
• adgaudio / O-MedAL
  O-MedAL: Online Active Deep Learning for Medical Image Analysis. This repo contains code for the paper.
  ☆18Updated 3 years ago
• KaosEngineer / PriorNetworks-OLD
  ☆40Updated 5 years ago
• QingyuZhao / BR-Net
  ☆46Updated 4 years ago
• melanibe / failure_detection_benchmark
  Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…
  ☆21Updated 2 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆35Updated 4 years ago
• ykwon0407 / UQ_BNN
  Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
  ☆136Updated 5 years ago
• aredier / monte_carlo_dropout
  using monte carlo dropout to have uncertainty estimation of predictions
  ☆14Updated 5 years ago
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆30Updated 2 years ago
• yizhanyang / Uncertainty-Estimation-BNN
  Epistemic Uncertainty Estimation with Monte Carlo Dropout
  ☆8Updated 5 years ago
• IntelLabs / AVUC
  Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
  ☆55Updated 2 years ago
• KaosEngineer / PriorNetworks
  ☆66Updated 5 years ago
• FengleiFan / IndependentEvaluation
  ☆10Updated 4 years ago
• salusanga / alm-dnn
  Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes [NeurIPS2021]
  ☆13Updated last year
• icml-mcbn / mcbn
  ☆53Updated 6 years ago
• SteffenCzolbe / probabilistic_segmentation
  ☆24Updated 4 years ago
• chleibig / disease-detection
  ☆32Updated 7 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆87Updated 3 months ago
• alceubissoto / debiasing-skin
  ☆17Updated 4 years ago
• sveinnpalsson / semivaebrats
  Semi-supervised variational autoencoder for survival prediction
  ☆14Updated last year
• 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
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆272Updated 3 years ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 8 months ago