JakobCode / UncertaintyInNeuralNetworks_Resources
☆97Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for UncertaintyInNeuralNetworks_Resources
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆129Updated last year
- ☆226Updated 4 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆150Updated 2 years ago
- This repository contains an official implementation of LPBNN.☆39Updated last year
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 5 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆27Updated 4 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆40Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆268Updated 2 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆305Updated this week
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆74Updated 2 years ago
- ☆14Updated 5 months ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆19Updated 2 years ago
- Evidential Deep Learning in PyTorch☆46Updated 2 years ago
- ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionPytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…☆76Updated 3 years ago
- ☆65Updated 4 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆59Updated 4 years ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆80Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆100Updated last year
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆86Updated last year
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆576Updated last month
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆100Updated last year
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆110Updated 4 years ago
- This repo contains a PyTorch implementation of the paper: "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"☆12Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆611Updated 2 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆53Updated last year
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆116Updated 2 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆41Updated 4 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆137Updated 2 years ago
- Implementation of Deep evidential regression paper☆50Updated 3 years ago