My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
☆141Jan 15, 2018Updated 8 years ago
Alternatives and similar repositories for deep-ensembles-uncertainty
Users that are interested in deep-ensembles-uncertainty are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆159Jul 23, 2022Updated 3 years ago
- This repo contains a PyTorch implementation of the paper: "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"☆16Mar 5, 2022Updated 4 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Feb 16, 2018Updated 8 years ago
- Reproduction of the paper: Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles☆27Dec 4, 2019Updated 6 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Classification uncertainty using Bayesian neural networks☆33Jun 28, 2016Updated 9 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,568Mar 24, 2026Updated 2 weeks ago
- ☆41May 14, 2019Updated 6 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Apr 8, 2020Updated 6 years ago
- This is official code for "Combating Label Distribution Shift for Active Domain Adaptation" accepted in ECCV2022☆15Oct 25, 2022Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Aug 31, 2020Updated 5 years ago
- model uncertainty using mc dropout☆21Mar 1, 2019Updated 7 years ago
- ☆238May 23, 2020Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- [ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning☆16Mar 20, 2026Updated 2 weeks ago
- This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…☆230Jul 25, 2024Updated last year
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Jun 26, 2020Updated 5 years ago
- ☆11Sep 16, 2023Updated 2 years ago
- [Under Progress] Code & Data for the AAAI 2020 Paper "Likelihood Ratios and Generative Classifiers For Unsupervised OOD Detection In Task…☆10Jul 25, 2024Updated last year
- ☆18Dec 31, 2018Updated 7 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,963Oct 20, 2023Updated 2 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆357Jun 30, 2017Updated 8 years ago
- A curated list of resources dedicated to bayesian deep learning☆416May 10, 2017Updated 8 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆274May 5, 2018Updated 7 years ago
- Modeling uncertainty information in deep learning☆22Jan 11, 2018Updated 8 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25May 1, 2019Updated 6 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Jan 26, 2021Updated 5 years ago
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf☆30Jan 15, 2020Updated 6 years ago
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 6 years ago
- ☆23Jan 27, 2022Updated 4 years ago
- rich posterior approximations and anomaly detection☆20Mar 15, 2019Updated 7 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,569Apr 19, 2024Updated last year
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- pytorch implementation for paper, towards realistic predictors☆17Sep 26, 2018Updated 7 years ago
- ☆14Mar 23, 2021Updated 5 years ago
- Variational Recurrent Auto Encoder☆15Jul 10, 2016Updated 9 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Feb 24, 2016Updated 10 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆36Nov 16, 2020Updated 5 years ago
- Code for the paper Multi-task Causal Learning with Gaussian Processes (https://arxiv.org/pdf/2009.12821.pdf)☆13Oct 17, 2020Updated 5 years ago
- Lecture notes on Bayesian deep learning☆488Feb 11, 2018Updated 8 years ago