saxena-mayur / Weight-Uncertainty-in-Neural-Networks
☆37Updated 5 years ago
Alternatives and similar repositories for Weight-Uncertainty-in-Neural-Networks:
Users that are interested in Weight-Uncertainty-in-Neural-Networks are comparing it to the libraries listed below
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆173Updated 2 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆88Updated 4 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆152Updated 2 years ago
- " Weight Uncertainty in Neural Networks"☆45Updated 6 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- This repository contains an official implementation of LPBNN.☆39Updated last year
- ☆40Updated 5 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆110Updated 2 years ago
- ☆66Updated 5 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- ☆21Updated last year
- ☆40Updated 4 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆109Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆271Updated 2 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 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…☆22Updated 4 years ago
- ☆228Updated 4 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆48Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆135Updated 7 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- ☆19Updated 6 years ago
- ☆57Updated last year
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆62Updated 4 years ago
- PyTorch implementation of FIM and empirical FIM☆58Updated 6 years ago