JakobCode / UncertaintyInNeuralNetworks_ResourcesLinks
☆108Updated 3 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:
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆141Updated 2 years ago
- ☆238Updated 5 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆154Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- This repository contains an official implementation of LPBNN.☆38Updated last year
- Open-source framework for uncertainty and deep learning models in PyTorch☆393Updated last week
- Evidential Deep Learning in PyTorch☆56Updated 2 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆68Updated 5 years ago
- This repo contains a PyTorch implementation of the paper: "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"☆13Updated 3 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆51Updated 5 years ago
- ☆17Updated 11 months ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆93Updated last year
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆20Updated 3 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆128Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆77Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆90Updated 5 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆241Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆150Updated 3 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated 10 months ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆115Updated 4 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆48Updated last year
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Updated last year
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- ☆66Updated 5 years ago
- Survey for Distribution Shift☆19Updated 4 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆472Updated last year
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆42Updated 4 years ago