JakobCode / UncertaintyInNeuralNetworks_ResourcesLinks
☆109Updated 4 years ago
Alternatives and similar repositories for UncertaintyInNeuralNetworks_Resources
Users that are interested in UncertaintyInNeuralNetworks_Resources are comparing it to the libraries listed below
Sorting:
- ☆239Updated 5 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆145Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆438Updated 2 weeks ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆70Updated 5 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆20Updated 3 years ago
- This repository contains an official implementation of LPBNN.☆38Updated 2 years ago
- ☆17Updated last year
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆494Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆52Updated 5 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- ☆66Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆634Updated 3 years ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆136Updated 3 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 5 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Large-scale uncertainty benchmark in deep learning.☆63Updated 5 months ago
- Evidential Deep Learning in PyTorch☆64Updated 3 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆30Updated 5 years ago
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Goo…☆24Updated 4 years ago
- " Weight Uncertainty in Neural Networks"☆49Updated 7 years ago
- ☆11Updated 6 months ago
- Implementation of Deep evidential regression paper☆58Updated 4 years ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆98Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆158Updated 3 years ago
- This repo contains a PyTorch implementation of the paper: "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"☆14Updated 3 years ago