evidential-deep-learning

There are 2 repositories under evidential-deep-learning topic.

dougbrion / pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
classification dirichlet-distributions evidential-deep-learning mnist mnist-classification paper pytorch torchvision uncertainty uncertainty-neural-networks
Language:Python 392
Cogito2012 / DEAR
[ICCV 2021 Oral] Deep Evidential Action Recognition
action-recognition openset-recognition video-understanding uncertainty-quantification evidential-deep-learning debiasing model-calibration ood-detection
Language:Python 115
aamini / chemprop
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
active-learning bayesian-optimization chemistry drug-discovery evidential-deep-learning molecule neural-network uncertainty virtual-screening
Language:Python 105
MengyuanChen21 / ECCV2022-DELU
[ECCV 2022] Dual-Evidential Learning for Weakly-supervised Temporal Action Localization
eccv2022 evidential-deep-learning temporal-action-localization uncertainty-estimation weakly-supervised-temporal-action-localization wtal
Language:Python 31
MengyuanChen21 / ICLR2024-REDL
[ICLR 2024] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
evidential-deep-learning iclr2024 ood-detection out-of-distribution-detection uncertainty-quantification
Language:Python 19
ai2es / miles-guess
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
ai bayesian epistemic-uncertainty evidential-deep-learning machine-learning neural-networks uncertainty-quantification
Language:Jupyter Notebook 16
deargen / MT-ENet
Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
deep-learning uncertainty-estimation evidential-deep-learning empirical-bayes drug-target-interactions drug-discovery uncertainty-quantification multitask-learning pytorch aaai machine-learning bayesian-neural-networks
Language:Python 16
evidential-deeplearning
clabrugere / evidential-deeplearning
Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neural network.
deep-learning evidential-deep-learning pytorch uncertainty-quantification
Language:Python 5
EvidentialFlux.jl
DoktorMike / EvidentialFlux.jl
Evidential Deep Learning Layers for Flux
evidential-deep-learning flux julia neural-networks
Language:Julia 4