uncertainty-neural-networks topic
masksembles
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
AVUC
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
monodepth-uncertainty
Inferring distributions over depth from a single image, IROS 2019
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
MCDO
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
nlp-uncertainty-zoo
Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
DEAL
Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)
HHP-Net
[WACV'22] Official implementation of "HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty"
uncertainty-wizard
Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in p...
robust-deep-learning
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. C...